Track Descriptions

Track Chairs

Vikas Jain, University of Tampa, vjain@ut.edu

Shirish Srivastava, HEC Paris, srivastava@hec.fr

Track Description

This track serves as the platform to explore and discuss innovative ideas which are either at a conceptual or a proof-of-concept stage. Information technology and its applications are evolving at a speed never witnessed before. To stay at the helm of technological innovation, industries must continuously experiment, adapt, and integrate ongoing technological advances into their business processes. IS research also needs to keep pace with this astronomical pace of technological development by extending its focus to new ideas and applications. Consistent with the theme of the conference, this track invites research papers and proposals that dive into uncharted waters, either from an application or a methodological standpoint.

We believe that it is perhaps the right time to investigate the potential of emerging technologies such as computer vision, digital twins, edge computing, Internet of behaviors (IOB), or robotics. In addition, rapid advances in computing and analytical ability empowers us with fresh tools that can help us push the methodological frontiers to address the issues of future. For example, machine learning is not only an industrial application but can also serve as a sophisticated analytical tool.
Our objective in this track is to push the application and investigation of emerging IS issues that will establish new pathways for future IS research. Any research focusing on cutting edge information technologies (nascent or emergent) or exploring applications in areas never considered before is welcome. This track also provides a forum for special interest groups who are still in the process of developing their interest areas. We welcome mini-tracks with focus on nascent and emerging areas of interest for IS research, both from application and methodological standpoint. The mini-tracks from emerging SIG areas of interest are also welcome.

Minitracks:

Blockchain, Web3 and Practical Applications
This mini-track invites submissions that investigate the current and future practical uses of blockchain and its related ecosystem. Via cryptocurrencies, payment infrastructures, tokens, and digital social structures, blockchain technologies may dramatically alter the nature of economic relationships. However, imaginative speculation has vastly outpaced practical application. We seek papers that provide insights into how these technologies are or might be applied to real-world opportunities.

All types of papers (case, empirical, frameworks), perspectives (descriptive or normative), and methods (conceptual, ethnographic, empirical, model/analytic) are welcome provided that they address the application of blockchain to economic or social phenomenon.

Topics include but are not limited to:

  • Individual adoption and use of wallets and web3/dapps
  • Business models inspired by DAO-like arrangements
  • Interorganizational arrangements informed by decentralized finance
  • Regulation inspired by blockchain technologies
  • Government use (e.g., tax collection and voting)
  • Social good and non-profit opportunities

Kelly Slaughter, TCU, kelly.slaughter@tcu.edu
David Preston, Texas Christian University, d.preston@tcu.edu

General Topics
The General Topics minitrack is intended for papers written by other track and mini-track chairs who cannot submit a paper to their own track or mini-track. We also may accept papers from authors who are unable to find a suitable AMCIS track for submission. Ideally we look for papers that break new ground and have exciting implications. Thus, we are open to all topics and methodologies outside the other tracks. Please check the detailed descriptions of other tracks before submitting to this track.

Deborah Armstrong, Florida State University, djarmstrong@business.fsu.edu
Matthew Jensen, University of Oklahoma, mjensen@ou.edu

Track Chairs

Fiona Rohde, University of Queensland, f.rohde@law.uq.edu.au
Scott Boss, Bentley University, SBoss@Bentley.edu

Track Description

The Accounting Information Systems track highlights research that focuses on the link between accounting and information systems, including topics that range from IT governance to interorganizational information systems and draws from a variety of disciplines like accounting, psychology, sociology, cognitive science, behavioral science, economics, politics, computer science, and information technology. The track considers papers from all research methods, including design science, behavioral, and archival.

Minitracks:

General Accounting Information Systems
Accounting information systems (AIS) research focuses on the link between accounting and information systems, including how best to communicate this link to students through curricula and cases. It includes topics that range from understanding and governance of the holistic IT environment to inter-organizational and automated information generation and sharing. The General Accounting Information Systems mini-track includes any and all topics in the field of AIS that are not included in the other, more specialized mini-tracks. Suggested topics include systems integration, value of information systems, automation of tasks traditionally performed in accounting functions, and Accounting Information Systems education methods and case studies.

Sumantra Sarkar, SUNY – BInghamton, ssarkar@binghamton.edu
Joy Gray, Bentley University, jgray@bentley.edu

IS Control, Audit, Reporting, Enterprise IT Governance and Security for Compliance Management
This mini-track is focused on the role that AIS plays in capturing and storing transactions, ensuring their accuracy, timeliness and validity, and satisfying the organization’s legal and regulatory requirements. Appropriate topics for this mini-track include (but are not limited to) continuous auditing, auditing end user systems, internal audit, COSO, CobiT, AS/2201, forensic auditing, data mining/business intelligence, querying, ebXML, XBRL, AIS use, data ambiguity, enterprise IT governance structures for effective compliance management, enterprise compliance risk assessment and compliance risk management, information assurance prioritization and strategy, establishing auditable trust models for securing electronic commerce, valuation of information assets for security assurance resource optimization, budgeting for and cost effective management of information systems associated with governmental regulations, successful and unsuccessful compliance management via automated, continuously auditing software solutions, and shared information, interorganizational trust models and policy ontologies for compliance management.

Alec Cram, University of Waterloo, wacram@uwaterloo.ca
Tawei (David) Wang, DePaul University, david.wang@depaul.edu

Accounting Information Systems: Models, Designs, Implementation, and Data Innovation
This mini-track is focused on the role that AIS plays in creating models to help better store, share information, reengineer, process and represent the organization’s resources, events and agents including the impact of data innovation and emerging data use. This mini-track is intended to promote research on the different data and process models for AIS. Appropriate topics for this mini-track include (but are not limited to) AIS design, Ontologies used for representation of AIS, Object Oriented databases for AIS, Items-Agent-Cash (IAC) Model, UML for modelling of AIS, AIS Architectures, Reengineering of legacy AIS into ERP systems, XBRL databases modelling and design, AIS using blockchain or distributed ledger technology, Resource-Event-Agent (REA) models, data models, Information sharing of AIS with supply chain systems, enterprise systems modelling, interorganizational information sharing, risk management, privacy, data analytics and data relevance.

Karina Honey, The University of Queensland, k.honey@business.uq.edu.au
Micheal Axelsen, University of Queensland, m.axelsen@business.uq.edu.au

Track Chairs

Jennifer Claggett, Wake Forest University, claggett@gmail.com
Hamed Qahri-Saremi, Colorado State University, hamed.qahri-saremi@colostate.edu

Track Description

Research on adoption and diffusion of information technology has improved our understanding of how IT is utilized by individuals, groups, and organizations and its positive and negative consequences. As a result, we have rich understanding of relevant topics such as digital innovation, digital business models, and IT implementation, to name a few. With the accelerating pace of digital transformation penetrating organizations and societies and the fundamental role of information systems in it, as has been witnessed during COVID-19 pandemic, there is still much to learn about the diffusion and adoption of IT. We need to investigate the potentials of the bright sides of new digital innovations, while also examine the dark sides of adoption and diffusion of IT. Issues such as IS misuse, IT addiction, propagation of online fake information, algorithmic biases, demise of human agency by intelligent systems, technostress, information overload, and new digital divides present relevant and ripe areas to investigate. This track seeks to be a forum for high-quality research that can theoretically and/or practically provide valuable insights into the adoption and diffusion of digital innovations at all levels and their bright and dark consequences. This includes the application of all types of research methodologies.

Minitracks:

The role of IT identity in IT adoption and use
Because information technology (IT) use is the crucial connection between IT investments and organizational performance, IS researchers have focused on adoption and diffusion of IT and how it is utilized by individuals. To that end, recent theoretical work introduced IT identity — representing the extent to which an individual views use of an IT as integral to his or her sense of self — as a means to explain richer, adoption and IT use behaviors. IT identity’s utility extends to a wide range of topics relating to how people express, maintain and expand their self-concepts in relation to IT. Accordingly, this mini track calls for further research that considers IT identity as an integral part of models and research approaches seeking to explain IT adoption and use. We welcome research using a variety of methodologies and at all levels of analysis.

Michelle Carter, Washington State University, michelle.carter@wsu.edu
Victoria Reibenspiess, Washington State University, v.reibenspiess@wsu.edu

Information Privacy & Security in IT Resistance and Adoption Mini Track
The adoption and diffusion of information technology is profoundly dependent on how stakeholders perceive and mitigate information privacy and security issues in relation to others and the interconnectedness of information technologies. This mini-track leverages evolving social dynamics to call for research that focuses on the psychological effects of information privacy and security factors such as stress and anxiety on resistance, modified use, and/or abandonment of technology. We welcome inspiring and stirring ideas to reconcile the regulatory, cultural, ethical, and humanistic tensions surrounding stakeholder views of privacy and security. Additionally, this mini track serves as a forum for the presentation and discussion of information privacy and security challenges related to the design, implementation, and diffusion of technologies, including innovations such as household technology, autonomous cars, AI, and IoT. To foster inclusive discussion of these important issues, this mini track is open to all quantitative and qualitative research methods.

Arturo Cano Bejar, Arizona State University, arturocano@iss.nthu.edu.tw
Ilja Nastjuk, Georg August Universität Göttingen, ilja.nastjuk@wiwi.uni-goettingen.de
Simon Trang, , simon.trang@wiwi.uni-goettingen.de

Adoption and Diffusion of Digital Technology
Emerging digital technologies are reshaping industries and changing user behaviors and expectations. This mini-track aims to enhance knowledge regarding the adoption and diffusion of digital technology. We invite all papers related to the adoption and diffusion of IT that do not fit into other mini-tracks in this track. This mini-track solicits expositions and investigations of both qualitative and quantitative natures. Analyses at different levels (individual, group, organizational, societal, and cultural) using a variety of methods (e.g. survey, experimentation, case study, and analysis with observational data etc.) are all welcome. Topics to be discussed include but are not limited to:

  • Adoption, use, and discontinuance of emerging digital technologies
  • Motivators and inhibitors of acceptance and use of digital technologies (e.g., individual users, organizations, and societies)
  • Positive and negative impacts of digital technologies on various stakeholders
  • New theoretical/methodological perspectives on IT adoption, implementation, and diffusion.

Samira Farivar, Carleton University, samira.farivar@carleton.ca
Randy Wong, University of Auckland, 15484548@life.hkbu.edu.hk

The Dark Side of Technology Use
Contemporary technologies are known to have the potential to both benefit and harm users and organizations, rendering them a double-edged sword. Examples include social media, smartphones, modern AI artifacts, and health ITs that can be both beneficial and harmful for individuals, work emails that, despite their connectivity benefits, can be interruptive for work, and security software or access control tools that can come at the cost of security and privacy intrusions. This minitrack is a forum for research on the antecedents, processes, consequences, and issues related to negative aspects of technology use that affect users, organizations, and society. Furthermore, it considers novel research on strategies and techniques for intervening and remedying the behaviors and challenges related to dark side phenomena.  Submissions may focus on but are not limited to topics such as addiction, technostress, interruptions, AI algorithms, disinformation, fake news, deceptive behaviors, health, psychological and physical problems, and behavioral interventions.

Isaac Vaghefi, Baruch College – City University of New York, isaac.vaghefi@baruch.cuny.edu
Shamel Addas, Queen’s University, shamel.addas@queensu.ca
Murad Moqbel, University of Texas Rio Grande Valley, muradmoqbel@gmail.com

IT Adoption & Diffusion Models in DSR
The role of IT adoption and diffusion models has not been adequately discussed in Design Science Research (DSR). The DSR methodology is increasingly used for studying the development of digital innovations and implementation of IT solutions. Yet, application of IT adoption and diffusion models like IS Success Model, TAM, UTAUT, and others are not commonly utilized in DSR despite their potential to discover design errors, algorithmic biases, user resistance & confusion. IT adoption methodologies could be used in the critical evaluation step to enhance the quality of system artifacts by providing valuable quantitative feedback from users to the designers about adoption. This mini track welcomes high quality research using IT adoption and diffusion models (at any level of analysis, such as experimentation, survey, and case study etc.) in DSR during the evaluation process and research that investigates the value-add of IT adoption and diffusion models to the DSR approach.

Luvai Motiwalla, U MASS Lowell, luvai_motiwalla@uml.edu
Yuzhu Li, University of Massachusetts Dartmouth, yli3@umassd.edu
Bengisu Tulu, WPI, bengisu@wpi.edu
Ganesan Shankaranarayanan, Babson College, gshankar@babson.edu

Adoption and Use of Creative Technologies 
The market for and generation of digital art has seen a momentous shift in recent years, brought about by technologies such as image generating artificial intelligence, immersive art, and monetization options such as non-fungible tokens (NFTs). Despite these shifts, there is a lack of understanding regarding the adoption, use, and effects of digital technology in the creative industry, among professional and aspirational artists, and in general public. The effects brought about by this digitalization can have both bright and dark sides such as new earning opportunities, faked realities or copyright issues. To better understand these changes and the effects brought about by them, we invite high-quality research using both qualitative and quantitative methodologies such as survey, case study, ethnography and big data analysis. We also welcome theory and review articles.

Dicle Berfin Köse, BI Norwegian Business School, dicle.b.kose@bi.no
Christian Fieseler, BI Norwegian Business School, christian.fieseler@bi.no

Track Chairs

Antino Kim, Indiana University, antino@indiana.edu
Alan Dennis, Indiana University, ardennis@indiana.edu  

Track Description

The Artificial Intelligence and Autonomous Applications track features research on a wide range of topics related to artificial intelligence (AI) and machine learning (ML) algorithms, including novel applications of algorithms (e.g., recommendation systems, information security analytics, healthcare, etc.), emerging types of AI agents (e.g., conversational agents, digital humans, etc.), and socio-economic aspects of AI and algorithms (e.g., ethical AI, biases in data and algorithms, impact on jobs, regulations, etc.). The track welcomes all research methods, including design science, behavioral, and economics.

Minitracks:

AI Agents
As technology advances in recent years, AI agents have been transforming the way we work, live, play, and learn. We are proposing this minitrack to bridge academic research with practitioner concerns to create synergy in promoting the creation and usage of AI agents. The focus of this mini-track is the design, adoption, and application of AI agents as well as the symbiotic relationships between AI agents and humans. AI agents in this context is a general term, which includes conversational AI agents (i.e. chatbots), voice agents (e.g. Amazon Alexa, Siri), digital human agents, and robotics. We want to emphasize the importance of investigating the behavioral and perception outcomes, uncovering the complicated interactive nature of the technology, the end user, the tasks, as well as the organizational environment, and opening the black box of the underlying cognitive processes undertaken by the end-user while interacting with AI agents.

Lingyao Yuan, Iowa State University, lyuan@iastate.edu
Vibhanshu Abhishek, University of California – Irvine, vibs@uci.edu

Human – Conversational Agent Interaction
Conversational agents (CAs) that use natural language to interact with humans are becoming ubiquitous in our daily lives. They are utilized in a number of contexts, such as for customer service or as personal assistants. CAs take on different designs, forms of embodiment, and communication modes. Despite their popularity, many CAs are unable to achieve their objectives and to create positive user experiences. The minitrack aims to improve understanding of how CAs can be designed to fulfil their intended purpose, and interact harmoniously with humans. The scope is to discuss and disseminate state-of-the-art research pertaining to interactions between humans and CAs, across application areas and research paradigms.

Topics include, but are not limited to:

  • User characteristics and adaptive CA designs
  • CAs for individuals and groups
  • Impacts of CA embodiment
  • Character and personality design
  • Agents for different domains
  • Ethical implications of CA design and interaction

Atreyi Kankanhalli, National University of Singapore, atreyi@comp.nus.edu.sg
Fiona Nah, City University of Hong Kong, fuihnah@cityu.edu.hk
Langtao Chen, Missouri University of Science and Technology, chenla@mst.edu

Revolutionizing the Design of AI Models for Real Impact 
Despite the rapid advancement of AI, integrating AI models with business processes remains one of the most challenging tasks in the current world of Information Technology. Various industry partners (e.g., Gartner’s) reported that 80% to 90% of AI projects ended up with PowerPoint slides and never made it into production. Such failures may be attributable to the fact that AI models are not tailored to the problem or integrated with the processes and technologies of the production environment. Hence, IS researchers need to study the design and impact of AI models to create substantive value for organizations and societies. The new and exciting research topics would significantly extend our current theories, methodologies, and empirical insights that bring AI models closer to business and societal problems. We welcome submissions from a breadth of research paradigms, including behavioral, economics, design science, and data science.

Jingjing Li, University of Virginia, jl9rf@comm.virginia.edu
Reza Mousavi, University of Virginia, mousavi@virginia.edu

Conversational AI Agents and Future of Work 
Many artificially intelligent agents (e.g., chatbots, voice assistants) are being integrated into teams, organizations, and everyday work. So far, humans have used these intelligent agents for simple, practical tasks to automate rudimentary tasks, for example. However, such systems are constantly evolving to take on tasks with greater organizational relevance. While intelligent agents represent a potential solution in this regard, it is unclear how humans will interact and collaborate with them.

This minitrack welcomes contributions from design science, empirical, action or case-study research that provide insights on how people interact, collaborate and behave in scenarios of joint value creation with artificial intelligent agents.

Edona Elshan, Institute of Information Management, edona.elshan@unisg.ch
Dominik Siemon, LUT University, dominik.siemon@lut.fi

Track Chairs

Vijayan Sugumaran, Oakland University, sugumara@oakland.edu
Don Heath, University of Wisconsin Oshkosh, drheath2@gmail.com

Track Description

The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.

Minitracks:

Unintended Consequences of AI
The widespread adoption of artificial intelligence (AI) applications is having a definitive effect on organizations and society. AI applications are developed with goals of increased revenue and efficiency in business processes. Yet, there have been numerous cases that have shown AI can have unintended consequences. Notable examples include Uber’s fatal autonomous vehicle accident and failure of Watson for Oncology due to biased results. Application of AI-technologies by organizations and government have the potential to affect (sometimes adversely) large portions of the populations, possibly containing vulnerable societal groups. These unintended consequences of AI can be a source of legal, financial, and reputational risk to organizations. For this mini-track, we welcome wide-ranging papers with qualitative and quantitative orientations; with theoretical and practical contributions; from personal, organizational and societal perspectives that explore causes, risks, and mitigation strategies for AI applications that can cause legal, financial, and reputational damage to organizations and social harm.

Madhav Sharma, Kansas State University, madhavsharma@ksu.edu
David Biros, Oklahoma State University, david.biros@okstate.edu

Promises, Perils, and Ethics of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance
In the last decade, Artificial Intelligence (AI) and Machine Learning (ML) have developed from peripheral technologies to dominant drivers of innovation. They are routinely used to recognize images; parse speech; respond to questions; make decisions; and replace humans.

Given that AI and ML tools are becoming a part of our everyday lives, it is critical that researchers and practitioners understand their state of art, adoption and influence. Improperly deployed AI and ML tools can violate privacy, threaten safety, and take questionable decisions that can affect individuals, organizations and ultimately society.

Valeria Sadovykh, University of Auckland, valeriasadovykh@gmail.com
David Sundaram, University of Auckland, d.sundaram@auckland.ac.nz
Kevin Craig, Auburn University, kac0117@auburn.edu

Social, Ethical, & Practical Impacts of AI for Organizations and Individuals
AI is an important and increasingly pervasive tool of industry whose widespread adoption has given rise to several criticisms, such as lack of transparency of analytical models, lack of explainability of results, workforce disruption, and the potential to introduce or perpetuate implicit biases. The aim of this mini-track is to provide a forum for addressing the social, ethical, and practical aspects of AI and ML. Particularly, papers exploring the impact of AI/ML through various analytic lenses including societal, organizational, and individual perspectives are welcome.

Potential topics:

  • Behavioral and organizational aspects of AI and ML
  • Automation of work through AI and ML
  • Legal, ethical, governance issues and biased use of AI/ML
  • Effectiveness, business performance, job displacement, and dark side of AI/ML
  • Standards and frameworks for AI/ML modeling and implementation
  • Explainable AI
  • AI Adoption diffusion
  • Ethical AI
  • Self-regulation across industries
  • Implicit and explicit bias in AI application
  • Social justice and social inclusion

Vijayan Sugumaran, Oakland University, sugumara@oakland.edu
Stefan Kirn, Universität Hohenheim, stefan.kirn@uni-hohenheim.de

Intelligent Systems based on Multi-Modal Data 
This mini track submission aims to bring cross-disciplinary original research and review articles with a focus on integrated concepts and technologies, insights from the multi modal data, design of intelligent system and how to deal with these challenges. The contribution can be new models, algorithms, innovative applications, but also can be practical solutions that particularly focus on how to apply generic techniques to specific applications. Multi modal data catering to needs of solving complex challenging problems in education, health care, agriculture, logistics, smart city, transportation and many more.

Amudha J., Amrita Vishwa Vidyapeetham, j_amudha@blr.amrita.edu

Interplay and Acceptance of Intelligent Information Systems 
In recent years, digital transformation has not only led to increased acceptance of the use of information technologies but also great challenges. As a result, new topics and trends emerged to address the steadily increasing amount of data and its efficient and innovative exploration. Apart from the main drivers artificial intelligence and cloud computing, also concepts like edge computing, big data, microservices, deep learning, distributed systems as well as composable architectures came into play both in the application and in the implementation of corresponding systems. Although these topics are widely recognized today, their interplay provides new potentials and reveals novel challenges. To overcome these, a plethora of facets must be handled. Hence, in this mini-track, we welcome a variety of research approaches related to the investigation of related topics, their application, behavioral aspects, managerial viewpoints as well as the engineering of the corresponding systems.

Matthias Volk, Otto-von-Guericke University Magdeburg, matthias.volk@ovgu.de
Daniel Staegemann, Otto-von-Guericke University, daniel.staegemann@ovgu.de

Artificial Intelligence and Machine Learning- Applications, Solutions and Techniques 
The world of Artificial Intelligence and Machine Learning continues to accelerate at an unfathomable pace and made its foot print in almost all the fields. While artificial intelligence refers to the concept of creating intelligent machines that can mimic human cognitive abilities and behaviors, machine learning refers to a specific application of AI where machines can learn from data without being explicitly programmed. Intelligent systems are technologically superior machines that understand and react to their surroundings. Intelligent systems find their applications in a variety of fields, including factory automation, Assistive robotics, Military, Medical-care, Education, Intelligent-transportation etc. Machines have recently demonstrated the ability to learn and even master tasks that were previously thought to be extremely difficult for machines, demonstrating that machine learning algorithms are potentially useful elements of detection and decision support systems. However, these intelligent systems have lots of potential research problems that need to be addressed in future.

Annie Uthra, SRM Institute of Science and Technology, annieuthra@gmail.com

Track Chairs

Jonathan Allen, University of San Francisco, jpallen@usfca.edu
Louise Harder Fischer, IT University of Copenhagen, louf@itu.dk
Jungwoo Lee, Yonsei University, jlee@yonsei.ac.kr
Liana Razmerita, Copenhagen Business School, lra.msc@cbs.dk

Track Description       

The nature of work and organizations is changing with the deeper embedding of modern new digital technologies in the workplace. Especially with the advent of COVID-19 at this point of time, work-from-home and/or hybrid work is becoming more than a fad. This is transforming work but also changing and challenging core aspects of organizations such as employee connectedness, engagement, and how meaning and identity are formed and reproduced in day-to-day work. These deep effects contribute to the emergence of new forms of organizing based on open platforms of communication, collaboration, and exchanges for example the growing use of crowd-based work platforms where it becomes less relevant to which organizations individuals belong. Digital workplace platforms and ecosystems can thus support more dynamic and fluid work arrangements within and across organizations, and allow for more flexibility in terms of when, where, and how we work. The potential to leverage the opportunities from this new landscape of work in organizations to improve the lives of workers is enormous but also, there is great potential to create a better society and more sustainable and resilient organizations. Yet, this changing nature of work also raises many concerns and unintended consequences (e.g., digital fatigue, impact on well-being, meaningless work with algorithmic management, and the corrosion of privacy). This is the theme for this workshop where we would like to discuss new and current research that improves or challenges our understanding of these themes.

Minitracks:

The metaverse impact on transforming our workspace: Hope or Hype? 
The metaverse Big Bang is no so far from now. All the IT giants (facebook, microsoft, etc) are preparing their environments and proposing a long list of assets to their users. We do know that this will disrupt our way of working, our daily life. With augmented, virtual and mixed reality we will be able to better “see” a situation or simulate how it will happen, we may train our selves better for surgeries on the metaverse before practicing on daily life, we may learn how to achieve realistic design of our furniture and convince the client beforehand. We may have the opportunity to work and give conferences in many places in the same day ! we may help avatars to try new products and order them directly!

However every opportunity is not without risks mainly security, privacy issues, anonymity issues, harassment and assaults, distraction and lower productivity, etc.

Ikram Bououd, Kedge Business School, ikram.bououd@kedgebs.com
Nacim YANES, Jouf University, nacim.yanes@gmail.com
Fiona Nah, City University of Hong Kong, fuihnah@cityu.edu.hk

CNoW General Minitrack
The nature of work and organizations is changing with the deeper embedding of modern new digital technologies in the workplace. This is the general mini-track of the CNoW track dealing with these changes. Any papers related to the general theme of CNoW but not belonging to other mini tracks can be submitted here. We are working on a special issue call for CNoW topics in association with the minitrack.

Jonathan P. Allen, University of San Francisco, jpallen@usfca.edu
Louise Harder Fischer, IT University of Copenhagen, louf@itu.dk
Jungwoo Lee, Yonsei University, jlee@yonsei.ac.kr
Liana Razmerita, Copenhagen Business School, lra.msc@cbs.dk

Track Chairs   

Jia Shen, Rider University, jiashen@rider.edu
Emre Yetgin, Rider University, eyetgin@rider.edu

Track Description   

Human cognition deals with how we know and make decisions, through processes including reasoning, perception, and judgment. The future of the Information Systems discipline will continue to involve human cognition as systems are increasingly used to meet social and business needs in innovative settings. Understanding human cognition is a critical component to the successful design, implementation, and use of information systems. The questions of interest relevant to this track focus on IS problems in terms of the processes of knowing and making decisions. This track solicits research investigating the widest variety of cognition, including but not limited to: situated, shared, social, distributed, and team cognition; group and individual decision support systems; cognitive aspects of business analytics and intelligence; problem-solving; knowledge-sharing & -management; cognitive perspectives on IS design, use, and development; human-computer interaction or human factors; and research methods to investigate cognitive issues in IS. We welcome qualitative, quantitative, experimental, and case study research and research-in-progress.

Minitracks:

Human-Robot Interactions
This mini-track aims to enhance our understanding of human-robot interactions in an emerging area in Information Systems. This mini-track seeks to solicit submissions from various topics about the cognitive and behavioral aspects of interactions with robots and artificial intelligence (AI) and their corresponding outcomes. This includes empirical studies and conceptual frameworks that seek to advance our knowledge of the topic theoretically.

Sangseok You, Sungkyunkwan University (SKKU), sangyou@skku.edu
Lionel Robert, University of Michigan, lprobert@umich.edu

Cognitive decision making and collaboration
Cognition is the interaction of technology, human behavior, and cognitive processes guided by the constructs of psychology and cognitive science.  Technology includes internet applications, artificial intelligence, and virtual environments. The cognitive aspects involve human behavior and the cognitive internal sensory and memory processes which lead to decision making and collaboration.

The purpose of this min-track is to provide a forum for theoretical developments, empirical research findings, case studies, methodologies, artifacts, and other high-quality manuscripts. We seek to address important questions arising from emerging developments in cognitive research, such as: cognitive aspects of business analytics, collaboration in virtual environments, AI effects on sensory and memory applications, cognitive aspects of shared memory and collective intelligence, the interaction of social perception on performance, communication patterns of cognition, and leadership cognition.

Jerry fjermestad, New Jersey Institute of Technology, jerry@njit.edu
Julie Ancis, New Jersey Institute of Technology, julie.r.ancis@njit.edu
David Eisenberg, New Jersey Institute of Technology, de63@njit.edu

Human-Centered IS Design 
As our professional and personal lives become more virtual, our well-being increasingly depends on the design of the digital tools we use to work and connect and on their ability to help us to contrast Information overload and increase the quality of the Information we consume.

The design of IS systems has traditionally prioritized functional or marketing objectives while neglecting users’ well-being and ethical concerns. This track explores alternative, truly human-centered approaches to IS design that focus on the improvement of individual and social well-being and on making our interaction with digital technologies more meaningful, purposeful, and sustainable.

This mini-track offers a venue for high-quality research that contributes to the the development of theories, approaches and methods able to support human-centered IS design. Papers that theoretically and/or empirically focuses on the application of Design Thinking, Positive Design, Design Science, and Aesthetics to the development of IS systems are particularly welcome. Possible topics may include, but are not limited to:

  • Positive Computing and Positive IS design
  • IS and Well-being
  • Inclusive IS Design
  • Design Thinking and Human-centered IS Design
  • Interaction Design
  • Aesthetics in IS Design
  • IS design for the Social Good

Luca Iandoli, St. John’s University (iandolil@stjohns.edu)
Dr. Ivana Quinto, University of Naples Federico II (ivana.quinto@unina.it)

Track Chairs   

Gero Strobel, University Duisburg-Essen, gero.strobel@uni-due.de
Frederik Möller, TU Dortmund, frederik.moeller@tu-dortmund.de
Thorsten Schoormann, University of Hildesheim, thorsten.schoormann@uni-hildesheim.de

Track Description     

Driven by the digitalization of almost any sphere of personal life and business, data has become humankind’s most essential and most valuable resource. That has been recognized by global and now data-driven technology companies such as Apple, Google, and Amazon and by governing organizations like the European Union. Contrary to physical resources, data do not perish when shared, introducing a paradigm shift in inter-organizational cooperation. For example, companies can share data on customers, machines, and processes without the need to empty a data repository to optimize more efficiently and build new products and services. However, to be able to utilize this data in a secure, fair, and, above all, value-creating manner, it is necessary to establish shared data spaces and -platforms. This track focuses specifically on the critical role of data and co-creation in the design, emergence, and adoption of data ecosystems from both an agnostic and domain-specific perspective. We particularly welcome submissions in the context of ecosystem design and development, including new design methodologies and tools as well as rather focused topics, such as data-sharing and sustainability. Since research on data ecosystems is conducted by scholars beyond disciplinary boundaries, such as data science, management science, or database systems, there is a need to establish common grounds and advance this stream of research. In accordance with that, this track is intended to bring together and foster discussions among scholars and practitioners alike who work on the various aspects of data-driven ecosystems.

Minitracks:

Data Marketplaces beyond Conceptualization: Business Models, Governance, and Societal Concerns
Data marketplaces play a pivotal role in the data economy by enabling the exchange of data products in data ecosystems. Data marketplaces are digital platforms that match data providers and consumers, provide infrastructure for contract creation, and facilitate the transport and payment of data products. Despite their promise, many data marketplaces fail to become commercially viable due to challenges related to business models, governance, and societal concerns. To move data marketplaces beyond conceptualization toward the commercialization phase, this minitrack calls for theoretical, empirical, or design science papers contributing to the broad topic of data marketplaces that focus on business models (e.g., the distinctions between data marketplaces with similar concepts such as data spaces, data platforms, or data collaborative;  critical success factors of viable data marketplaces; industry contextual factors), governance topics (e.g., interactions between actors; governance hierarchy; outcomes of governance mechanisms), and societal concerns (e.g., data privacy; confidentiality; sovereignty; digital responsibility).

Antragama Ewa Abbas, Delft University of Technology, a.e.abbas@tudelft.nl
Montijn van de Ven, Eindhoven University of Technology, m.r.v.d.ven@tue.nl
Mark de Reuver, Delft University of Technology, g.a.dereuver@tudelft.nl
Daniel Beverungen, Information systems, daniel.beverungen@uni-paderborn.de


Shared Data Ecosystems 
Due to increased competition in the digital economy, organizations start collaborative alliances to counter monopolists. Prime examples are the Silicon Economy or Catena-X, which aim to establish shared data ecosystems to ease multilateral data sharing, transparency, and connectivity among the stakeholders. Shared data ecosystems are characterized by a multitude of heterogeneous stakeholders that aim at developing, sharing, and using data-driven services while aligning different goals. To achieve this, the data ecosystem needs to support all stakeholders to ensure its sufficient adoption. This new level of complexity asks for a holistic approach in which the ecosystem’s governance (e.g., shared ownership) and architecture (e.g., open data, open-source software) need to be adapted to the multiple-stakeholder environment. This minitrack invites multidisciplinary research (e.g., shared data ecosystems in logistics) exploring the potential of open and shared concepts for data services and platforms to foster competitiveness, sustainability, and resilience of emerging data ecosystems.

Estelle Duparc, TU Dortmund University, estelle.duparc@tu-dortmund.de
Hendrik van der Valk, TU Dortmund, hendrik.van-der-valk@tu-dortmund.de
Anna Maria Schleimer, Fraunhofer ISST, anna.maria.schleimer@isst.fraunhofer.de

Conversational Agents as a Service

Conversational agents (CAs) are conquering almost all domains and support data and service exchange in digital ecosystems. When we look at CAs as social actors combined with the lens of service-dominant-logic (SDL), reciprocal value creation between the human user and the data-driven CA through mutually advantageous resource integration takes place.

Our mini track seeks for papers addressing the SDL-perspective of CAs in data -ecosystems, e.g., by interpreting CA interactions as a service (for example in Education, Health, Sales), by designing CAs for increasing the individual value in use, or by facilitating co-creation processes within the ecosystem. Besides, we look for submissions covering services that emerge from data-driven ecosystems with CAs as actors.

Literature reviews, conceptual, empirical and design-oriented submissions are welcome. Sample topics:

  • Service Logic in CA-Ecosystems
  • CAs for Co-Creation in Ecosystems
  • Value-driven Perspectives on CAs
  • Service Quality in Ecosystems (such as Interruptions and Failures)

Ricarda Schlimbach, Technische Universität Braunschweig, r.schlimbach@tu-braunschweig.de
Edona Elshan, Institute of Information Management, edona.elshan@unisg.ch
Marvin Braun, University of Goettingen, marvin.braun@uni-goettingen.de

Track Chairs     

Aleš Popovič, NEOMA Business School, ales.popovic@neoma-bs.fr
Ciara Heavin, University College Cork, c.heavin@ucc.ie
Vic Matta, Ohio University, matta@ohio.edu

Track Description 

The unprecedented increase in the complexity of data has created new challenges and offered innovative opportunities for individuals, organizations, and society. This has significant implications for all industries (e.g., healthcare, finance, energy, retail, and sports) while creating new avenues for innovative Artificial Intelligence (AI) applications with disruptive breakthroughs in areas such as autonomous vehicles, blockchains, etc. The ability to manage Big Data and generate insights is also driving significant organizational change. At a higher level, Big Data and analytics applications positively impact society in areas such as health and well-being (e.g., fighting Covid19), poverty reduction, food security, climate, misinformation detection, energy, and sustainability.

Organizations are allocating more resources to improving and developing new innovative applications with advanced analytics or AI capabilities. As organizations transform into analytics-centric enterprises (e.g., health insurers and automotive companies), more research is needed on the technical, behavioral, and organizational aspects of this progress. On the one hand, research is focused on the development and application of new data science approaches, such as reinforcement learning, transfer learning, and deep learning, which can reveal various ways to improve decision-making and outcomes. On the other hand, research on organizational issues related to analytics can inform industry leaders on how to deal with the various organizational and technical opportunities along with the challenges associated with building and running AI or analytics-driven organizations. Examples include data and process governance, ethical use of AI, algorithm bias, interpretability, reproducibility, and data privacy that fosters innovation and entrepreneurship.

The “Data Science and Analytics for Decision Support” track seeks original research that advances technical, theoretical, design, pedagogical, and behavioral science research and emerging applications related to analytics, AI, and Big Data. Topics include (but are not limited to) data analytics and visualization from disparate data sources (e.g., IoT data, text, multimedia, clickstreams, user-generated content, sensors, etc.) involving curation issues; management, and infrastructure for (Big) data; standards, semantics, privacy, security, legal and ethical issues in Big Data, analytics, and AI space; intelligence and scientific discovery using Big Data; analytics applications in various domains such as smart cities, smart grids, financial fraud detection, digital learning, healthcare, criminal justice, energy, environment and science, sustainability; business processes management applications such as process discovery, performance analysis, process compliance, and mining using analytics and KM, cost-sensitive, value-based and data-driven decision analysis and optimization. Visionary research on new and emerging topics that make innovative contributions to the field is also welcome.

Minitracks:

AI and Data Analytics in Healthcare
Applying analytics, machine learning, and artificial intelligence over big data enables the identification of actionable patterns and correlations for improving healthcare delivery. In this mini-track, we invite authors to submit papers that bring these issues to the forefront and offer solutions to the existing challenges while improving the current solutions. We also invite papers that provide insights into the adverse consequences of AI and analytics in general in the healthcare area.

Raj Sharman, University at Buffalo, SUNY, rsharman@buffalo.edu
Pavankumar Mulgund, The University of Memphis, pmulgund@memphis.edu
Joana Gaia, School of Management, University at Buffalo,, joanaalu@buffalo.edu

Behavioral Research in Data Science and Analytics
The ability to take advantage of data analytics (DA) and artificial intelligence (AI) technologies has become an important factor for firm success. With the availability of data with high velocity, volume, and variety, many firms have invested in DA and AI technologies to improve the quality of their decisions. However, firms also recognize the critical role of human factors in analytics-based decision-making.

The focus of this minitrack is to explore and enhance understanding of the behavioral aspects of implementing and using DA and AI technologies. Particularly, this minitrack focuses on perceptions, attitudes, intentions, and behaviors related to analytics and their impacts on decision-making processes and outcomes in organizational and social settings.

Suggested topics:

  • Explainable AI
  • Ethical and privacy aspects of using AI and DA
  • Trust in AI and DA
  • Human-AI augmentation
  • Algorithm aversion
  • User-centered DA
  • DA and decision-making quality
  • DA and technostress
  • DA and discrimination
  • DA and cognitive biases

Nima Kordzadeh, Worcester Polytechnic Institute, nkordzadeh@wpi.edu
Maryam Ghasemaghaei, McMaster University, ghasemm@mcmaster.ca

Smart Tourism and Data Analytics
Advancement in information and communications technology has made valuable data from infrastructure, social connections, human behavior, and organizations available. Smart tourism uses such data generated from destinations and tourists to create more sustainable and enriched experiences for visitors and residents. Data science and data analytics can be used to achieve smart tourism by extracting insights and making decisions on tourist behaviors, residents’ quality of life, and destination management.

This mini-track calls for original research that applies data science and data analytics to promote and investigate smart tourism. We thus invite papers that touch on topics such as but not limited to: Data analytics for tourism decision-making; Social media data analytics for destination management; Big data analytics for destination management; Data analysis and modeling of tourist behavioral data; Tourism intelligence and visual data analytics for destination management; Analytics for tourism planning, management, and marketing; Tourism information management and advanced analytics.

Jahyun Goo, Florida Atlantic University, jgoo@fau.edu
Derrick Huang, Florida Atlantic University, dhuang@fau.edu
Chul Woo Yoo, Florida Atlantic University, yooc@fau.edu
Chulmo Koo, Kyung Hee University, helmetgu@khu.ac.kr
Sooyoung Park, Florida Atlantic University, soyoungpark@fau.edu

Computational Social Science Research through Analytics 
Computational social science research has garnered much interest from multiple disciplines through the use of massive, multi-faceted, and authentic data. The analysis of huge amount of trace data, which are event-based records of activities of transactions, to unveil insights on how to address larger societal issues. A recent trend in understanding social phenomena using computational social science research, especially through the use of analytics has led to many discoveries, and confirmation of hypotheses and theories interdisplinarily.

This minitrack encourages research using trace data from human digital footprint to investigate human activities and relationships, and potentially come up with innovative and theory-grounded models of the social phenomena. Submissions may focus on descriptive research process, novel algorithm designs, questions forming, new and interesting directions in computational social science. The formulation of nascent theories through a bottom up approach using data is especially encouraged. Research in any domains are welcome.

Ace Vo, Loyola Marymount University, ace.vo@lmu.edu
Yan Li, Claremont Graduate University, yan.li@cgu.edu
Anitha Chennamaneni, Texas A & M University Central Texas, anitha.chennamaneni@tamuct.edu

The Geospatial Realm: A Deep Dive
Today, researchers and practitioners alike are increasingly utilizing large, multi-scale, multi-temporal, and multi-dimensional geospatial data. In response, a rapidly expanding array of collaborative geospatial tools is being developed to help these users share data, code, and analytic results. Understanding how these various technologies and geospatial tools can support these collaborative efforts is a critical area of ongoing research. This mini-track will examine these activities and provide a research forum to discuss the varied aspects of geospatial-based analytics, geospatial data management, and geospatial problem-solving.

As such, papers are solicited across topics such as, but not limited to:

  • Innovation and collaboration using geospatial platforms and analytics,
  • Geospatial AI with Machine Learning and Deep Learning,
  • Geospatial big data management and analytics,
  • Geospatial data mining and knowledge discovery,
  • Geospatial decision making and knowledge management, and
  • Emerging areas of geospatial analytics.

Brian Hilton, Claremont Graduate University, brian.hilton@cgu.edu
Daniel Farkas, Pace University, djf2128@gmail.com
Namchul Shin, Pace University, nshin@pace.edu
James Pick, University of Redlands, james_pick@redlands.edu
Avijit Sarkar, University of Redlands, avijit_sarkar@redlands.edu

Data-Driven Process Mining and Innovation 
One of the main aspects of business analytics is process innovation driven by the use of data generated from the day-to-day business operations of an organization. Process innovation involves workflow re-design and resource re-configuration for higher efficiency, better quality, and effectiveness, improving decision-making processes for better information flow and decision-enablement. Process mining plays a significant role in enabling such innovations.

The objective of Process Mining is to discover, monitor, and improve actual business processes by extracting knowledge from existing data generated as a result of the execution of those processes.

The aim of this mini-track is to promote theoretical and empirical research addressing the aspects mentioned above.

Example topics may include, but are not limited to – data-driven modeling, analysis, and improvement of organizational processes; design of data-driven decision-making processes; case studies and empirical evaluation of data-driven process innovation; multi-perspective approaches for process mining.

Arti Mann, University of Northern Iowa, arti.mann@uni.edu
Sagnika Sen, Pennsylvania State University, sagnika.sen@psu.edu

Track Chairs      

Lemuria Carter, University of New South Wales, Lemuria.Carter@unsw.edu.au
Vishanth Weerakkody, University of Bradford, v.weerakkody@bradford.ac.uk
Yogesh Dwivedi, Swansea University, y.k.dwivedi@swansea.ac.uk

Track Description 

Digital government explores the digital transformation of the public sector. Information Communication Technology (ICT) permeates public administration and is changing the ways governments operate. Data-driven decision making supported by innovations in areas such as artificial intelligence, data analytics, machine learning, robotics process automation continue to introduce new opportunities and challenges. Initially, e-government was focused on alternative service delivery mechanism, but nowadays e-government is a key enabler of public sector transformation for improving governance, including transparency and accountability and citizen participation in democratic processes and policy making. E-government changes the relationships between the government and the public and covers topics like multi-channel service delivery, creating transparency, evidence-based policy-making, transformational government, adoption and open government. Agencies across the globe consistently identify innovative ways to use emerging tools, trends and technologies such as big data, open data, blockchain, and the Internet of Things to improve government services. Many governments have embraced these efforts, but struggle with implementation and adopting ICTs as part of the service delivery and policy-making processes. Within the information systems field e-government has its own niche in terms which include practical and theoretical relevance.

Minitracks:

Emerging technologies and Digital Government 
The emergence of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Processing Technologies, Immersive Technologies or Blockchain have changed the way digital governments operate as well as the services they offer to users. Therefore, this mini-track welcomes papers about the use of emerging technologies, and their related challenges, in a digital government context.

Topics of interest in this mini-track include, but are not limited to:

  • Applications of emerging technologies in governments (AI, IoT, Blockchain, Metaverse, Virtual Reality, Augmented Reality, Public Displays, Digital Twins, Sensors, Game-based technologies, …);
  • Deployment of processing technologies by governments (Big data analytics, Open data analytics, Social media analytics, Policy analytics, …);
  • Application domains (Smart cities, Open data, Federal/regional/local levels, Digital service development, …);
  • Ethical concerns and issues in the use of emerging technologies (e.g. automated decision-making);
  • Impact of emerging technologies on the digital left-behinds and the digital divide.

Anthony Simonofski, University of Namur, anthony.simonofski@unamur.be
Ulf Melin, Linköping University, ulf.melin@liu.se
Marius Rohde Johannessen, University of South-Eastern Norway, mj@usn.no

Beyond e-Government: e-Democracy, e-Inclusion, and e-Participation 
The term e-government emerged in the late 1990s and generally describes a variety of interactions between national or communal administrations on one side, and residents and other entities on the other side, using information and communication technology (ICT). As our civilization more and more moves towards an e-society, a society where the use of ICT is increasingly accepted and integrated in all aspects of daily life, e-government may be progressing into e-democracy with e-inclusion and e-participation. Whereas traditionally e-government has been mainly providing information and services to the populace over the internet, with the decision-making remaining chiefly on the government side, e-democracy allows the general population to be included in democratic processes (e-inclusion) and participate in policy making (e-participation). This mini-track invites submissions dealing with all aspects of e-democracy, e-inclusion, and e-participation.

Narcyz Roztocki, SUNY New Paltz, roztockn@newpaltz.edu
Wojciech Strzelczyk, Kozminski University, wstrzelczyk@kozminski.edu.pl
Heinz Roland Weistroffer, Virginia Commonwealth University, hrweistr@vcu.edu

Digital Government and Civic Engagement 
The emergence of newer technologies such as smart devices, artificial intelligence (AI), social media, or Internet of Things (IoT) has redefined how the governments across the world deliver services to their citizens. The governments are rapidly transforming public services offered to various stakeholders by leveraging these new technologies, thereby, becoming more agile in responding to citizens’ needs. Further, these technologies have empowered citizens to engage in democratic processes in a manner rarely seen before such as mobilizing other citizens on key political issues through social media or increased electoral participation through e-voting.

The objective of this mini track is to provide a forum for discussion and presentation of original research highlighting the role of newer digital technologies like smart devices, social media, artificial intelligence, and Internet of Things (IoT) in shaping the technical, organizational, managerial and socio-economic aspects of public services offered by governments around the world.

Vikas Jain, The University of Tampa, vjain@ut.edu
Raymond Papp, University of Tampa, rpapp@ut.edu

Artificial Intelligence in the Public Sector 
Artificial Intelligence (AI) is increasingly becoming central to digital transformation initiatives in the public sector. Government institutions are adopting AI for delivering 24/7 citizen services, automating decision-making in the adjudication of government benefits to eliminate false claims and generating new insights from government data for better policy outcomes. At the same time, there is wide acceptance by government institutions, the public and other stakeholders that the use of AI in the public sector comes with significant risks that must be carefully assessed and mitigated for AI to deliver public value. This mini-track welcomes research investigating the affordances and responsible adoption of AI in various public service and policy contexts. The mini-track also seeks studies examining the emerging regulatory and governance frameworks for AI and how AI adoption can engender greater trust between governments and the public at different levels.

Adegboyega Ojo, Carleton University, adegboyega.ojo@mu.ie
Nina Rizun, Gdansk University of Technology, nina.rizun@pg.edu.pl
Umair ul Hassan, University of Galway, umair.ulhassan@nuigalway.ie

Track Chairs      

Kathryn Brohman, Queen’s University, kathryn.brohman@queensu.ca
Robert Gregory, University of Miami, rwgregory@miami.edu

Track Description   

In the digital age, organizations must continually innovate with digital technologies in order to succeed over time. This innovation involves the generation of digital products and services that enable fundamental changes to organizations (digital innovation) and the consequent fundamental changes to organizations, organizational networks and industries (digital transformation). These innovations are often created and realized through new ventures either in startups or existing organizations (digital entrepreneurship).The goal of this track is to examine the nexus between digital technologies, consequent innovation and entrepreneurial action by offering a venue for original and innovative research that focuses on digital technologies, associated innovation, and related entrepreneurial activities and forms.

Minitracks:

Digital Entrepreneurship 
Digital innovation opens continual opportunities for entrepreneurial actions. New ventures and established organizations alike generate radical business models and solutions that leverage digital technologies. Topics include:

  • New venturing with and by digital technologies and digital business models
  • Entrepreneurship forms and models within organizations enabled by digital technologies
  • Entrepreneurial launch processes with digital technologies such as agile and lean startup
  • Incubators, accelerators, and ecological processes to launch and sustain digital ventures
  • Finance of digital technology entrepreneurship including corporate funding, venture capital, private equity, angel investing, etc.
  • Digital tools enabling creativity, design, engineering, and other innovative entrepreneurial activities.
  • Infrastructures and ecosystems of emerging generic digital technologies (e.g., robots, 3D printing, sensor networks, blockchain, etc.).
  • Digital phenomena such as mobile, social, big data, cloud computing, IoT
  • Digital sharing such as leading interoperable standards.
  • Digital business models and platforms that foster social innovation and impact entrepreneurship targeting Sustainable Goals.

Arman Sadreddin, Concordia University, arman.sadreddin@concordia.ca
Suchit Ahuja, Concordia University, suchit.ahuja@concordia.ca
Barb Marcolin, Ms., marcolin.barb@gmail.com

FinTech: Disruption in Financial Services
FinTech continues to disrupt and reshape the financial services industry.  The simultaneous emergence of a variety of technologies including cloud computing, big data analytics, machine learning, blockchain, and AI have accelerated this change. The need to build FinTech-related competencies among practitioners and researchers is apparent. Given the importance and the challenges of FinTech, this mini-track provides a platform for original studies on the topic. The following is a partial list of suggested topics:

  • Disruption by FinTech on traditional financial services in global markets
  • Emerging technologies in corporate finance and investment management
  • Machine learning and artificial intelligence applications in finance
  • Use of big data in finance
  • Financial analytics in novel areas such as climate finance and ESG
  • Blockchain technology, smart contracts, and digital currencies
  • Alternative lending technologies and business models
  • Crowd funding models and technologies
  • Regulatory issues and challenges in FinTech

Ravi S. Behara, Florida Atlantic University, rbehara@fau.edu
Derrick Huang, Florida Atlantic University, dhuang@fau.edu
Jahyun Goo, Florida Atlantic University, jgoo@fau.edu

Digital Transformation and Servitization in SMEs and Entrepreneurship 
In the last decade, digital transformation and servitization have become active domains that attract growing interest from multiple actors. Digital transformation is defined as a process where digital technologies create disruptions that trigger strategic responses from organizations seeking to alter their value creation paths. In such a context, servitization refers to a firm’s transition from a product-centric perspective focusing on selling products to a more service-orientated perspective that focuses on facilitating customer value creation through advanced innovative services and digital solutions.

The proposed track aims at providing a forum for exchanging research ideas and best practices related to new business strategies and models, applications and management of digital transformation and servitization within the context of SMEs (Small and Medium-sized Enterprises) and entrepreneurship.

Thang Le Dinh, Université du Québec à Trois-Rivières, thang.ledinh@uqtr.ca
Claudia Pelletier, Universite du Quebec a Trois-Rivieres, claudia.pelletier@uqtr.ca
Étienne St-Jean, Université du Québec à Trois-Rivières, etienne.st-jean@uqtr.ca

Digital Innovation 
This mini-track invites submissions that investigate the role and functions of digital technologies within innovative products, services, processes, or business models, and how these technologies impact consequent organizational innovation and strategy (e.g., questions of architecture, modularity, platform governance, standards and means of systems integration).

Topics can include:

  • Organizing for digitally-enabled products and services
  • Products and services developed around novel and emerging digital technologies
  • Digital technologies and service science
  • Digital convergence and organizational and industrial organization
  • Digitalization of physical products and changes in product strategies
  • Design thinking for digital
  • Digital innovation as sociotechnical system
  • Innovating within digital service ecosystems and on platforms
  • Digital product architectures
  • Digitalization, product modularity, and modes of organizing
  • Digital controls and control points and organizing
  • Digital twin and related product capabilities
  • Products and services enabled by emerging generic digital technologies and novel digital phenomena

Paola Gonzalez, Dalhousie University, paola.gonzalez@dal.ca
Heinz-Theo Wagner, Technical University of Munich, heinz-theo.wagner@tum.de

Managing Risks in Digital Innovation, Transformation and Entrepreneurship 
Increasingly, we observe that entrepreneurs and investors are taking significant risks as they attempt to disrupt existing digital markets or innovate in new and uncertain digital markets. Organizations’ exposure to risks depends on their strategic use of digital technologies. Some organizations might adopt a digital as the business approach (i.e., the business depends entirely on digital technologies), while others take a digital in the business approach (i.e., the business can still operate if the digital technologies fail). A greater digital transformation of business models also creates important risks for consumers and may carry negative externalities on society as a whole. Such risks and negative externalities are not well understood. Even though digital entrepreneurship, transformation, and innovation have the potential to address observed inefficiencies in several domains (e.g., healthcare, retailing), it is important to examine how organizations can leverage digital technologies in a responsible way.

Franck Loic Soh Noume, University of North Carolina at Greensboro, f_sohnoume@uncg.edu
Gurpreet Dhillon, University of North Texas, gurpreet.dhillon@unt.edu

Track Chairs   

Elaine Mosconi, Université de Sherbrooke, elaine.mosconi@usherbrooke.ca
Frank Ulbrich, Lucerne University of Applied Sciences and Arts, frank.ulbrich@hslu.ch
Paul Drews, Leuphana University of Lüneburg, paul.drews@leuphana.de

Track Description     

Organizations and their Information Systems continually undergo a considerable transformation often referred to as “digital transformation”, by adopting, adapting, or developing Information Systems (IS). As a result, IS, business models, business processes, and end-user workplaces are perpetually analyzed, rethought, and changed. Nowadays, many systems in organizations are already interconnected to form inter-organizational IS, contributing to a complex IS landscape in organizations. This renews the importance of analyzing the interplay between IS, organizations and members of the workforce from socio-technical and end-user perspectives. The implications of digital transformation and IS on end-users and customers, who are increasingly technologically savvy and immersed need to be understood even better.

We invite research papers and real-life teaching cases to be submitted on topics related to digital transformation and IS, business process development, changing workplaces and IS integration, knowledge management and training, end-user computing, IT consulting, and inter-organizational IS.

Minitracks:

Digital transformation through smart services 
Nowadays, the digital disruption and the fourth industrial revolution change fundamentally the way enterprises do business. Enterprises need to innovate to create unique and exceptional competitive advantages. This mini-track aims at expanding our knowledge regarding the adoption of smart services in today’s business landscape to accelerate the digital transformation. Smart services, which are built based on knowledge-based and intelligent systems and services, have the capacity of self-detecting and self-adaptation to users’ needs without their explicit requests. Big data, business analytics, the Internet of Things and cloud computing provide a huge source of knowledge that allows to determine user contexts and then to enable intelligence capabilities of smart services.

Based on the business perspective, this mini-track provides a forum for exchanging research ideas and best practices related to new business strategies and models, applications and management of smart services within the context of digital transformation.

Thang Le Dinh, Université du Québec à Trois-Rivières, thang.ledinh@uqtr.ca
Jolita Ralyté, University of Geneva, jolita.ralyte@unige.ch
Thoa Pham, TU Dublin, thoa.pham@dit.ie

Digital Start-Ups: New forms of Collaboration, Competition and Co-opetition
The opportunities provided by digital technology and lower entry barriers to markets gave rise to large numbers of diverse start-ups that confront incumbent firms with fast changing competitive landscape and the disruption of their traditional businesses.

Especially in highly regulated industries like Financial Services, Legal, Education or Healthcare new competitors referred to as Fintechs, Legaltechs, Edtechs or Healthtechs shake up traditional markets. This trend continues and stretches far beyond the mentioned industries.

Traditional companies struggle to compete with these new entities due to the differences in business logics entailing, e.g., speed, agility, and customer-centricity. Also, these start-ups specifically target weak spots in the value chain of traditional businesses. This makes them both a pain and a gain for traditional companies. A pain as they take business away, a gain as successful collaboration or integration can elevate the competitive position of the traditional business.

Heiko Gewald, Neu-Ulm University of Applied Sciences, heiko.gewald@hnu.de
Heinz-Theo Wagner, Neu-Ulm University of Applied Sciences, heinz-theo.wagner@tum.de
Daniel Gozman, The University of Sydney Business School, daniel.gozman@sydney.edu.au

Socio-technical Approaches to IT-driven Transformation 
The National Academies of Sciences, Engineering, and Medicine are shifting priorities to focus on transdisciplinary, team-based, convergent research with societal impact. Many societal issues have been tackled for decades by single disciplines or domains and yet remain challenging problems. Average lag time for translating lab research into practice is 15-20 years, suggesting that the complex technical and societal problems the world faces are not well-served by the traditional model of individual university research groups headed by a single principal investigator. Many of these problems are systemic in nature requiring longer-term, holistic approaches, leading to increased interest in center-based research and methodologies like design science, action research, and co-creation of solutions.

We seek contributions that help us better understand how researchers are addressing these challenges. How do we better bridge the gap between academic research and translation to practice? We invite contributions from various disciplines applying a wide variety of methodologies.

Elizabeth Regan, University of South Carolina, earegan@mailbox.sc.edu
Bob Brookshire, University of South Carolina, rbrook@mailbox.sc.edu

Track Chairs   

Christian Bartelheimer, Paderborn University, christian.bartelheimer@upb.de
Christoph Peters, University of St. Gallen, christoph.peters@unisg.ch
Mahei Manhai Li, University of Kassel, mahei.li@uni-kassel.de

Track Description     

Individuals, organizations, and society are diving into uncharted waters through the ever-accelerating progress of the digital service transformation. The AMCIS Track of the AIS SIG Services provides a forum for all Information Systems (IS) researchers interested in exploring the digital service transformation and further developing service-related research in the IS community. Thus, we invite scholars to submit their work of any methodological type that explores how value is co-created on an individual, team, organizational, and societal level at the intersection of digital technology and service. Work that aims to design, explore, and explain how future service and service systems can become more sustainable, and thus align with this year’s track topic, is highly appreciated.

Minitracks:

Human-Centered Services 
Service research is concerned with the interactive co-creation between humans and service providers, which is changing due to information technologies’ use and further development. For example, smart personal assistants and companion-based services act as autonomous intermediaries between humans and service providers, thus changing value co-creation. The goal of such technology-enabled services is to support humans and preserve their values, which however needs to be studied and designed.

This minitrack aims to explore various aspects related to technology-infused human-centered services that focus on humans, their values, and life contexts as well as their relevant properties, logic, and characteristics. We invite submissions based on conceptual/theoretical or empirical studies using qualitative, quantitative, or mixed methods from individuals and/or teams of researchers across academic fields from around the world.

Dominik Siemon, LUT University, dominik.siemon@lut.fi
Catharina von Koskull, University of Vaasa, catharina.von.koskull@uwasa.fi
Rebekah Rousi, University of Vaasa, rebekah.rousi@uwasa.fi
Timo Strohmann, Technische Universität Braunschweig, t.strohmann@tu-braunschweig.de

Cloud-based Services and Service Systems 
In almost every industry the amount of processed data is increasing dramatically. Products are becoming permeated by information and communication technologies and business processes are continuously digitalized. Utilizing advanced data infrastructures (e.g., GAIA-X, IDSA), data can be shared across company lines, and the opportunity for new cloud-based, data-driven services resp. service systems arise. The aim of this mini-track is to foster a common understanding of the underlying dependencies between cloud-based data infrastructures and service systems.

We are looking for papers regarding conceptual basics (e.g., taxonomies, conceptualizations, challenges), design aspects (e.g., architectures, methods), and management topics (e.g., business models, governance). We also seek papers that critically open discussions by suggesting avenues for future research or presenting empirical and/or experimental study results. All papers should emphasize and elaborate on the role of data infrastructures for service provision, especially papers concerning and focusing on GAIA-X are invited.

Christian Koldewey, Paderborn University, christian.koldewey@hni.upb.de
Martin Rabe, Fraunhofer-Institute for Mechatronic Systems Design, martin.rabe@iem.fraunhofer.de
Tobias Schröer, FIR e.V. at RWTH Aachen University, tobias.schroeer@fir.rwth-aachen.de
Mathias Uslar, OFFIS – Institute for Information Technology, mathias.uslar@offis.de
Roman Dumitrescu, Fraunhofer IEM, roman.dumitrescu@iem.fraunhofer.de

Services and Well-Being 

As the technological parts of Information Systems take over more and more functions that used to be the last realms of humans, the call for ethical design becomes louder. Starting with service orientation, leading to human centricity and the perspective of reciprocal value-co-creation, today the well-being of individuals, groups and even society moves into the focus of researchers. Processes become sustainable, platforms care about the user well-being, conversational agents react better on biases of interaction partners, and AI must not carry forward inherent prejudices of their developers. Today’s society increasingly pursues values that go beyond efficiency or revenue. The design of future IT-systems in services should focus on sustainability, diversity, common good, social responsibility etc.

We are interested in contributions from DSR, action research, quantitative and qualitative empirical studies, including profound literature reviews, that lead to digital services that reflect different aspects of individual up to societal well-being.

Susanne Robra-Bissantz, Technische Universität Braunschweig, srobra@tu-bs.de
Christoph Lattemann, Jacobs University Bremen, c.lattemann@jacobs-university.de

Track Chairs   

Renée Pratt, Auburn University, rpratt@auburn.edu
Randy Bradley, University of Tennessee, rbradley@utk.edu

Track Description     

The introduction, use and maintenance of enterprise systems (ES) require a significant investment of organizational energy and resources. As such, ES represent the largest IS investment organizations are likely to make. Many organizations are now upgrading, replacing, or extending their original ES. Early versions of ES provided back office functionality that integrated a range of internal business processes, whereas modern ES have evolved to include support for a variety of front office and inter-organizational activities and processes, such as customer relationship management (CRM), human capital management (HCM), and supply chain management (SCM). The design of such large integrated systems represents a major technical challenge, requiring new ways of thinking about business processes, system development, and enterprise architecture.

Because of both their size and their integrated nature, ES are difficult to implement, and are associated with a variety of organizational changes. Organizations expect, but unfortunately do not always realize, significant benefits from their sizable investments in ES. Because of the importance of ES in organizations, educators continue to explore approaches for introducing ES into IS and other business curricula. As such this track will investigate issues to pertaining large-scale systems adoption, implementation, and integration, academic, and practice-based case studies on ES best practices, interdisciplinary concerns with specialized ES in areas such as healthcare and supply chain management, emerging delivery models, and enterprise and business architecture.

Minitracks:

Enterprise Systems – Integration and Transformation Challenges in the Era of Digitalization: Managerial and Technological Perspectives
Enterprise systems (ES) are complex software packages designed for integrating data flow across an entire company. Over time, ES have expanded to include manifold areas of an organization’s operations, and were extended beyond organizational boundaries to support inter-organizational activities. Although many efforts towards system consolidation in the past, current developments result in quite heterogeneous software landscapes consisting of different system types and components. With powerful end-user tools and emerging disrupting technologies (like Cloud Computing, Financial Technologies (FinTech), Internet of Things (IoT) and Service-oriented Architecture (SOA)) at hand, managing these landscapes, especially on an enterprise-wide level becomes even more demanding.

This minitrack aims to discuss various facets and characteristics of ES transformation in the light of digital disruption and the resulting integration challenges caused by new/disrupting technologies. Therefore, we invite papers (empirical and theoretical) that examine those topics from technological, organizational or managerial perspectives.

Christian Leyh, Technische Hochschule Mittelhessen (THM) – University of Applied Sciences, christian.leyh@w.thm.de
Thomas Schäffer, Hochschule Heilbronn, thomas.schaeffer@hs-heilbronn.de

Healthcare Enterprise Systems: the adoption of Integrated Information Systems in healthcare industry 
Enterprise systems include different clinical and administrative workflows and applications that should be successfully integrated and implemented to support processes and facilitate operations, administration, and decision-making in hospitals. Applications such as CDSS or healthcare information systems (HIS), etc., provide necessary data and information for decision-making or operations. However, the lack of integration between different information systems cannot be ignored; there are information systems, such as LIS (laboratory Information systems), EHR, etc., that can be a part of healthcare information systems, but evidence shows these systems may not work correctly, or work separately.

With emerging new advanced technologies in healthcare, such as expert systems, critical medical devices, intelligent information systems, digital communication tools, and neural networks, healthcare enterprise systems must consider them and use them integrated with operation modules to improve staff productivity, healthcare operations, process quality, patient safety, and the overall patient experience.

Ahmad Alibabaei, CalPoly Pomona, babaei@gmail.com

Track Chairs   

Xiaohua Zhu, University of Tennessee, Knoxville, xzhu12@utk.edu
Shengnan Yang, Indiana University, yang290@iu.edu
Pnina Fichman, Indiana University, fichman@indiana.edu

Track Description     

Globalization is tied to technological innovation and distribution. The power of modern information and communication technologies (ICTs), including information systems (IS), digital platforms, social media, mobile phone apps, artificial intelligence (AI), and algorithms, has proven to be an instrument for modern organizations. ICTs have provided the infrastructure for multinational businesses and global collaborative teams, created new cultural connections irrespective of geographic boundaries and distances, allowed an increasingly mobile global population to connect with others; global online communities have emerged as the central elements of digital platforms allowing for exchanges of information, goods, or services. Businesses across all sectors have been updating their business models to reap benefits from the advances in ICTs, which allowed many to extend their reach into global and international markets, and thus also into different cultural contexts. This aspect of globalization and ICT usage have given rise to interdependence, mutual inclusion, and an integration process that has united all into one worldwide network and mixed the cultures of local and national into the global.


The global interdependencies on networks establish channels for unresolved conflicts between local context and global value. An emerging trend of de-globalization combined with digital transformation emerged during the COVID-19 pandemic, while all sectors of society and communities across the globe have significantly increased their reliance on ICTs. This hyper-connected world is seen as a threat to national security and the economy in some regions. As a powerful weapon, sophisticated technologies are used simultaneously, both to encourage and prevent transformation. Therefore, it is crucial to understand how ICTs reshape existing connections and power dynamics and forge new ties and boundaries around the globe.

This track welcomes submissions related to any aspects of global IS or IS research situated in a global, international, or cross-cultural context. The track is open to all methodological approaches and perspectives. In the post-pandemic era, we particularly encourage cross-national/cultural comparative studies related to digital transformation and the role of ICTs in global trends.

Minitracks:

Global and Multilingual Perspectives on Digital Infrastructure for the Humanities
Recent advances in digital infrastructures for the humanities have brought new opportunities to access, use, and share cultural information globally. However, due to numerous reasons such as the unequal allocation of resources and implementation of policies across countries and areas, the digital humanities (DH) landscape has shown a strong Euro-centric emphasis, where multilingual DH projects and projects from developing countries remain relatively invisible compared with their western counterparts. Such unequal development of digital infrastructure also creates barriers to developing more in-depth, effective collaboration among global DH communities. This mini-track aims to create a global, cross-cultural dialogue and sharing experience among DH communities working on designing, developing, and critiquing digital infrastructures. We embrace diverse perspectives and welcome studies that are both culture-specific and adopt a comparative lens across geography, culture, and society. Empirical works, case studies, thought papers or theoretical contributions are all welcomed.

Rongqian Ma, Indiana University Bloomington, rm56@iu.edu

Cross-cultural Perspectives on Information Ethics and Policy 
Over the last few decades, practice and research on information ethics and policy has developed from a niche area of interest to a considerable and significant field across various culture. As the global use of digital technologies facilitates peoples’ interconnectedness across diverse cultures, cross-cultural perspectives on ethical considerations and policy interventions can be valuable for policymakers, public-interest groups, and researchers. This mini-track invites papers that offer insights on the ethical and social dimensions of ICTs, including but not limited to digital platforms, big data, AI, Internet of Things (IoT), and algorithms. We are particularly interested in research that is culture-specific or comparative in nature, provides innovative conceptual frameworks, or addresses cross-sectoral and cross-national collaborations in solving information ethics problems. We call for humane and ethical considerations in every step of information system design and the use of ICTs along with close examinations of various aspects of the global infosphere.

Peng XIAO, Sun Yat-sen University, xiaop25@mail.sysu.edu.cn

Social Media for Human Development 
The importance of social media is continuously growing, demonstrating its reputation for human development, especially during local and worldwide crises. Social media applications have created new opportunities and challenges concerning their design, usage, and impact on society, organizations, and individuals. The successful application of social media requires a deep understanding of social learning processes and their implementation in a digital environment. The viability and value of social media depending on the support of the people it affects through social institutions and private activities. This minitrack focuses on this effect from multiple aspects. We are interested in multidisciplinary approaches to social media research, for example, from the following disciplines: human-computer interaction; social science approaches; education; psychology; sociology, social network analysis; communication; political science; economics; anthropology; media studies and journalism; digital humanities; digital innovation for human development; information and communication technology for development (ICT4D), and information systems in international development.

Jolanta Kowal, University of Wrocław, jolakowal@gmail.com
Juho Mäkiö, University of Applied Sciences Emden Leer, juho.maekioe@hs-emden-leer.de
Pawel Weichbroth, Gdansk University of Technology, pawel.weichbroth@pg.edu.pl

Cultural Aspects of Social Media Platforms 
How social media, people as regular users, and culture influence each other is probably one of the most intriguing questions for scholars in the field of ICTs and social media studies. This is because understanding this issue can provide us some clarity about the future of humankind, offer some possible solutions that can prevent humankind from further dividing, and make the world a more connected one. We encourage works essential to understanding the cultural aspect of the use and design of social media. We are particularly interested in research that examines the role of social media in terms of ordinary people’s lives and cultural change; the role of culture in terms of the development of social media and regular people’s lives; and the role of people as users in terms of the change of the design of a social media platform as well as culture.

Yinan SUN, University of Hawaii Manoa, sunyinan@hawaii.edu

Track Chairs   

Nui Vatanasakdakul, Carnegie Mellon University, savanid@cmu.edu
Chadi Aoun, Carnegie Mellon University, chadi@cmu.edu
Pratyush Bharati, University of Massachusetts, pratyush.bharati@umb.edu

Track Description     

Sustainability and climate change are global issues with many cultural, organizational, technical, social, regulatory, economic, and individual dimensions. Just as computer-based information systems have been a driving force for societal progress, Green IS can be a driving force for strategic sustainable solutions in organizations and communities. Green IS enables the transformative power of information systems to support the multiple dimensions of sustainability. It addresses the world’s greatest challenges including shrinking access to non renewable resources, decreased energy and food security, and environmental degradation due to climate change. IS can play a pivotal role in enabling sustainable solutions, which greatly increase the effectiveness and efficiency of modern communities and enterprises. Consequently, IS research can contribute in such transformation towards a multidimensional perspective to sustainability.

This track is open to any type of research within the scope of Green IS and Sustainability as well as those that adapt research and industry experiences into teaching cases and modules.

Minitracks:

Sustainable Transformation 
Sustainable management aspires towards balancing social, economic and environmental dimensions. Existing roadmaps, frameworks and systems do not comprehensively support sustainable transformation nor do they allow decision makers to explore interrelationships between sustainability dimensions. Thus leading to visions without actions and actions without visions. This is true at the micro level in the life of individuals and families and at the macro level in organizations, supply chains and societies.

This minitrack will explore concepts, models (qualitative, quantitative, optimization, simulation), processes, frameworks, architectures, roadmaps, and systems that will enable individuals, families, organizations, supply chains, and ultimately society to become more sustainable in a world ravaged by pandemics, war, famine and climate change. We seek papers on approaches that enable us to support, share, measure, benchmark, model, quantify, qualify sustainability goals, practices, performances, and indicators. This minitrack welcomes other topics in Green IS and Sustainability, that do not clearly fit in other minitracks.

David Sundaram, University of Auckland, d.sundaram@auckland.ac.nz
Claris Yee Seung Chung, University of Canterbury, claris.chung@canterbury.ac.nz
Khushbu Tilvawala, University of Auckland, k.tilvawala@auckland.ac.nz
Daud Ahmed, Manukau Institute of Technology, daud.ahmed@manukau.ac.nz
Gabrielle Peko, University of Auckland, g.peko@auckland.ac.nz

Cloud Computing and Sustainability 
As an IT service model where computing resources, and even business processes, are delivered to customers over a network in an on-demand, self-service fashion, cloud computing has become one of the top priorities in corporate IT investments. Cloud computing has transformed the way IT resources are deployed and utilized in business organizations, calling for research on cloud computing and sustainability to advance the literature on Green IT/IS.

This minitrack provides a forum for presenting and discussing original research highlighting the opportunities and challenges toward sustainability related to designing, deploying, and using cloud computing. We encourage submissions that address broad topics of Green IT/IS from the perspectives of cloud service providers, service users, and other stakeholders. In particular, we welcome papers focusing on the role of cloud computing in tackling climate change, including mitigation (i.e., reducing emissions and enhancing environmental efficiency) and adaptation (i.e., adjusting to the current and future impacts of climate change).

Jiyong Park, University of North Carolina at Greensboro, jiyong.park@uncg.edu
Kunsoo Han, McGill University, kunsoo.han@mcgill.ca

Artificial Intelligence for Sustainability 
The catastrophic impacts of climate change on biodiversity, ecosystems and human lives have raised attention towards environmental sustainability more than ever. The challenge of sustainability is multi-dimensional, involves complex interactions, and requires trade-offs between conflicting values of multiple stakeholders. Artificial intelligence (AI) can offer diverse solutions for mitigating adverse impacts of climate change and adapting to new planetary conditions – from earlier and better detection of climate risks to machine-based intelligence offering powerful predictive capabilities to support decision making and using immersive applications that help individuals reconnect with the natural environment. This minitrack adopts a socio-technical-ecological perspective to examine how AI can be used to support environmental sustainability and respond to the challenges of climate change. Research of all types is invited, from conceptual work that develops theories around AI to empirical investigations of the interplay between AI and sustainability-related phenomenon and design work that develops novel solutions and approaches.

Vijaya Lakshmi, Université Laval, vijaya.lakshmi.1@ulaval.ca
Jacqueline Corbett, Université Laval, jacqueline.corbett@fsa.ulaval.ca
Rohit Nishant, Université Laval, rohit.nishant@fsa.ulaval.ca
Mike Kennedy, University of British Columbia, michael.kennedy@ubc.ca

Information Systems for Environmental, Social and Governance (ESG) decision making and Sustainable Supply Chains
Information Systems (IS) enable organizations to develop and promote sustainable and resilient strategies, business practices, and supply chain processes that focus on all aspects of the triple bottom line: Profit, People, and Planet. This mini-track is for research investigating the role IS plays in enabling these sustainable and resilient business strategies and practices, including research examining sustainability within individual firms and across firm boundaries. This also includes the application of IS to support the increasingly important function of tracking environmental, social and governance (ESG) metrics within the company and across the value chain.  This includes supporting decisions on reporting and reducing environmental impact and also initiatives to reduce social inequality. Research focused on IS to coordinate sustainability efforts within a firm and among supply chain partners and end users is encouraged regardless of method. Inter-disciplinary research is particularly welcome.

Thomas Abraham, Kean University, tabraham@kean.edu
Viet Dao, Shippensburg University, vtdao@ship.edu

ICTs for Sustainable and Intelligent Mobility Solutions 
The transportation sector is a significant contributor to environmental and social challenges, including degraded air quality, noise pollution, traffic congestion, and global warming. In attempting to minimize the scale of these negative impacts, we call for rigorous research that enhances our understanding of the role of information and communication technologies (ICTs) in promoting sustainable and intelligent mobility solutions. ICTs in this context can, for example, promote shared mobility solutions with self-driving cars, improve regional mobility, and incentivize public transportation usage and sustainable mobility behavior. This mini-track also serves as a forum for presenting and discussing specific ICT design solutions to promote sustainable mobility patterns. We also welcome research focusing on the challenges of designing and implementing sustainable mobility solutions, including, but not limited to, user acceptance and adoption barriers. Submitted articles should either extend existing theories, provide interesting empirical findings, or develop design-oriented solutions to minimize mobility-related challenges.

Ilja Nastjuk, Georg-August-Universität Göttingen, ilja.nastjuk@wiwi.uni-goettingen.de
Stephan Kühnel, Martin Luther University Halle-Wittenberg, stephan.kuehnel@wiwi.uni-halle.de
Simon Trang, University of Göttingen, simon.trang@wiwi.uni-goettingen.de
Alfred Benedikt Brendel, Technisch Universität Dresden, alfred_benedikt.brendel@tu-dresden.de

Track Chairs   

Richard Klein, University of Nebraska Omaha, richklein@unomaha.edu
Kaushik Ghosh, Suffolk University, kghosh@suffolk.edu
Sweta Sneha, Kennesaw State University, ssneha@kennesaw.edu

Track Description     

The Healthcare Informatics and Health Information Technology (HIT) track seeks to promote research into ground-breaking technology innovations and applications within the healthcare sector, while incorporating interdisciplinary theoretical perspectives and methodological approaches beyond the traditional information systems (IS) and health information technology (HIT) disciplines. Information systems and technology (IT) innovations offer significant potential to transform the delivery of care, to improve the quality and efficiency of the healthcare system, to enhance interactions between patients/caregivers and providers, and to enable greater access to the latest advancements in treatments, among other accomplishments and outcomes. Academic efforts within the Healthcare Technology and Systems track should demonstrate novel work within the IS discipline as well as reference perspectives including computer science, economics, organizational behaviour, public policy, public health, software/electrical engineering, management, and strategy, among others. Completed research and research-in-progress topics might include, opportunities and challenges faced within the current healthcare sector; advances in healthcare information technologies (HIT), electronic health (e-health), telemedicine, and mobile health (m-health), among other innovative technological applications; as well as healthcare industry-specific issues related to traditional IS research concerns, including adoption and diffusion, systems design and implementation, and IS success.

Minitracks:

Digital Transformation in Healthcare 
The concept of digital transformation emphasizes the use of technology to alter the firm’s value proposition. This in turn necessitates various changes in the organization, including but not limited to business processes, strategies, approaches to governance and others. In the context of healthcare, digital transformation can entail novel approaches to delivering care driven by consumerism as well as the need to improve patient outcomes, including those related to patient-centered care or patient engagement.

This minitrack aims to develop a comprehensive view of how patient outcomes and healthcare experiences can be improved through digital transformation. Potential topics for this minitrack include those related to patient experience, care providers, payers, and other key entities in the healthcare value chain; strategic, managerial, and governance-related issues associated with digital transformation; cultural transformations impacted by healthcare IT that influence patient outcomes; and others. This minitrack will consider a variety of empirical or conceptual submissions.

Michael Dohan, Lakehead University, msdohan@lakeheadu.ca
Christopher Califf, Western Washington University, califfc@wwu.edu
Joseph Tan, McMaster University, tanjosep@mcmaster.ca

Virtual Communities for Healthcare
Virtual communities provide information and different types of support for patients and physicians. Other entities who benefit from conversations in this forum include big pharma, equipment manufacturers, and policy workers. This mini-track provides a forum for all researchers who work in the healthcare virtual communities space. Papers relating to all different types of social networking platforms are welcome, including papers that focus on social-networking analytics relating to healthcare.

This mini-track solicits empirical, theoretical, conceptual, and case-based research studies that seek to explore any issue that relates to Virtual communities in the Healthcare area.

Raj Sharman, University at Buffalo, SUNY, rsharman@buffalo.edu

Clinical DSS and COVID-19 Minitrack 
Over the past 15 years, health practitioners have increasingly used Clinical Decision Support Systems (CDSS) to aid critical health-based decision-making to improve patient care. However, those who wish to gain from a CDSS must be concerned about what is involved in designing and developing the system in their institutions. Although much has been written about these phenomena in diverse DSS areas, a CDSS still requires proper planning based on what must be done to avert marginal development of the system. In addition, given the nature of CDSS development, findings acquired from previous studies are likely only to offer a limited illustration of the problems affecting CDSS development in practice. The requirement to look upon this CDSS design, development, and implementation activities is crucial as the world deals with COVID-19. Health decisions would need to be made quickly, not just for proper COVID-19 activities but also to save lives.

Iza Azura Ahmad Bahar, Universiti Malaysia Sabah, izabahar@ums.edu.my
Suraya Miskon, Universiti Teknologi Malaysia, suraya@utm.my
Syed Nasirin, Universiti Malaysia Sabah, snasirin@ums.edu.my
Nooralisa Mohd. Tuah, Universiti Malaysia Sabah, alisa.tuah@ums.edu.my
Tamrin Amboala, Universiti Malaysia Sabah, ramdzan_trn@yahoo.com

Healthcare Analytics 
The healthcare industry is experiencing fundamental transformation.  Clinical challenges, aging populations, and cost overrun have complicated healthcare delivery in the United States and around the world.  Analytics can help better decision making towards a healthcare system that addresses the combined objectives of lower costs, safe care, effective clinical outcomes, and high patient satisfaction. Given the importance and the challenges of Healthcare Analytics, this mini-track provides a platform for original studies on the topic.  The following is a partial list of suggested topics:

  • Healthcare Analytics design and adoption
  • Enablers, inhibitors, and best practices of Healthcare Analytics implementations
  • Methods and tools in Healthcare Analytics
  • Implementing Analytics by small healthcare providers
  • Strategies and experience of early adopters
  • Organizational change management with Healthcare Analytics implementation
  • Country level or cross-country comparison of Healthcare Analytics
  • Integration of Healthcare Analytics in EMR
  • Clinical and business benefits of Healthcare Analytics

Derrick Huang, Florida Atlantic University, dhuang@fau.edu
Jahyun Goo, Florida Atlantic University, jgoo@fau.edu
Chul Woo Yoo, FAU, yooc@fau.edu

Digital Resources for the Ageing Society 
All developed economies face the challenge of aging societies. Not only is the percentage of the elderly within the population growing, they are also getting older than generations before. This trend puts tremendous pressure on social and healthcare systems around the world. Digital resources (wearables, apps, websites, virtual discussion groups, social media etc.) provide a perspective to enable seniors to life longer in self-contained circumstances then today.

The minitrack addresses these challenges and opportunities by providing a forum to share high quality research on all aspects of digital resources which benefit the aging society. We welcome empirical and conceptual work as well as design science papers. All research which adds to our understanding how digital resources are accepted and used by seniors and what benefit they provide is in scope of the minitrack.

Heiko Gewald, Neu-Ulm University of Applied Sciences, heiko.gewald@hnu.de
Karoly Bozan, Duquesne University, bozank@duq.edu
Doug Vogel, Harbin Institute of Technology, vogel.doug@gmail.com

Track Chairs   

Dezhi Wu, University of South Carolina, DEZHIWU@cec.sc.edu
Jeff Jenkins, Brigham Young University, jeffrey_jenkins@byu.edu
Miguel Aguirre-Urreta, Florida International University, miguel.aguirreurreta@fiu.edu

Track Description    

The AMCIS 2023 HCI Track will provide a forum for AIS members to present, discuss and explore a wide range of issues related to Human-Computer Interaction and Information Systems. Human Computer Interaction (HCI) is an interdisciplinary area that has attracted researchers, educators, and practitioners from several disciplines. It essentially deals with the design, evaluation, adoption, and use of information technology, with a common focus on improved user performance and experience. New and exciting research opportunities are emerging, including issues and challenges concerning people’s interactions with various information technologies that can be examined from an organizational, managerial, psychological, social, or cultural perspective. This track welcomes papers that aim at advancing our understanding of human‐computer interaction at the individual, work group, organization, or society levels. Submissions may use any type of research method.

Minitracks:

Interface Design, Evaluation and Impact 
This mini-track is an outlet for human-computer interaction (HCI) papers that research interface design, evaluation, and impact. It supports a wide-ranging set of research topics, methods, and perspectives in the HCI area. Possible topics include user interface design and evaluation for B2B, B2C, C2C e-business, m-commerce, and social media sites, business software including ERP, IoT, big data dashboard, and healthcare IT, AR, VR, MR, Metaverse, AI, and games. User task analysis, usability testing, the analysis of the impacts of interfaces on the attitudes, behaviors, performance, or productivity of individuals, organizations, and society are also the topics of this mini-track. Authors are encouraged to investigate new issues related to and apply new approaches of considering HCI in light of emerging technologies and technology trends. A number of papers have been published at the premier IS journals. Excellent conference submissions have been considered for fast-track options at journals publishing HCI research.

Gabe Lee, Miami University, gabelee@miamioh.edu
Andrew Chen, University of Kansas, achen@ku.edu
Anna McNab, Niagara University, amcnab@niagara.edu

Conversational, Cognitive, and Affective HCI 
Understanding and adapting to the cognitive and affective states of users can enable systems to interact more effectively. The adaptation may come in changes to the system performance, or in the way the system interacts with users. Recent research has explored ways to understand cognitive and emotional states through a variety of sensors and technologies, including natural language processing, fMRI, eye tracking, keystroke dynamics, and mouse tracking. Emerging systems can incorporate information from these sensors to create more humanlike responses, to improve decision processes, and to gain a deeper understanding of how the user is thinking or feeling. This mini-track provides an outlet for human-computer interaction (HCI) papers that investigate systems—and human behavior with systems—that respond to cognitive and affective states. Possible topics include conversational technology (e.g., chatbots and digital assistants), affective or cognitive state detection, HCI for credibility assessment, novel use of sensor data, and affective computing.

Ryan Schuetzler, Brigham Young University, ryan.schuetzler@byu.edu
Nathan Twyman, Brigham Young University, nathantwyman@gmail.com
Mark Grimes, University of Houston, gmgrimes@bauer.uh.edu
Stefan Morana, Saarland University, stefan.morana@uni-saarland.de

IS, Food Industry and Consumer Behavior 
This minitrack examines the nature and implications of use of IT in food industry. With growing concerns for food safety, service quality and information sharing in food industry, the impact of information systems and human-computer interaction in the context is receiving great attention. The fact that food industry is related to health issues as well as regular consumption satisfaction makes distinctive phenomena such as organic food purchase, consumers’ willingness to pay price premium, intensive information search, etc. This minitrack aims to extend our understanding of IS in food industry, human-computer interaction, and consumer behavior to enhance the theoretical foundation for research, offer guidance to practitioners and share important empirical findings with consumers. This minitrack welcomes conceptual and empirical research papers investigating these emerging phenomena using various theories and methodologies.

Chul Woo Yoo, FAU, yooc@fau.edu
Jahyun Goo, Florida Atlantic University, jgoo@fau.edu
C. Derrick Huang, Florida Atlantic University, dhuang@fau.edu

Track Chairs   

Kweku-Muata Osei-Bryson, Virginia Commonwealth University, kmosei@vcu.edu
Arlene Bailey, University of the West Indies, arlene.bailey@uwimona.edu.jm
Antonio Diaz Andrade, Auckland University of Technology, antonio.diaz@aut.ac.nz
Sajda Qureshi, University of Nebraska Omaha, squreshi@unomaha.edu

Track Description     

The technologically saturated spaces that characterise much of contemporary society can bring about many developments beneficial to individuals and society. In some instances, the ubiquity and malleability of digital technology have the potential to fulfil the ideal of connecting humans via a common platform that can positively influence the way we conduct our transactions and interact with each other. In other spaces, there are technological challenges which do not support inclusion and participation in some activities. Digital innovations offer prospects for achieving financial inclusion, improving health, giving voice and enhancing well-being to those who were previously left out of opportunities. However, the very same technology that can make our lives more enjoyable can result simultaneously in an object of obsession that weakens our minds, an enslavement tool that deskills workers and a surveillance device that curtails our freedom.

As Information and Communication Technology for Development (ICT4D) scholars, we have an obligation to scrutinise the role digital technology plays in shaping our social life. Understanding the mechanisms and consequences of this digital phenomenon inevitably requires robust theoretical treatment and special attention to contextual conditions.

While drawing upon theories that help understand these emerging phenomena, research in ICT4D and IS also requires attention to the contextual challenges facing practitioners in the field. An interesting and significant issue is whether ICTs can play a sustaining, value-adding role that enables societies to move beyond the conditions that cause vulnerabilities to beneficial development for all. Such a role may include supporting social groups in: identifying and defining achievable goals, acquirable resources, and constraints to be acknowledged and if possible overcome; supporting sustainable & secure collaboration, offering health and wellbeing, particularly in recovering from the pandemic; and inclusion for all.

Minitracks:

ICTs in Asia 
Information and communication technologies (ICTs) have long been associated with a country’s innovativeness and development. Asia, as one of the fastest growing regions in the world, benefits a lot from its digital development in country-level ICT infrastructures. With the recent initiative of the Silk Road Economic Belt and the 21st-Century Maritime Silk Road (the Belt and Road initiative for short, from Asia to Europe and Africa), Asian countries will tighten the economical relationships among the countries on the paths of Belt and Road. In this process, ICT will play an important and critical role in the international trade, collaborations and communications. This mini-track targets on the ICT impacts on country/organizational/user level collaboration and developments as well as how ICT affects economic and market performance in the countries/regions in Asia. Topics related to ICT development for Asia and in the context of new normal of COVID-19 influence are all welcome.

Xusen Cheng, Renmin University of China, xusen.cheng@ruc.edu.cn
Kai Li, Nankai University, likai@nankai.edu.cn

ICT Innovations Driving Development in Emerging and Transition Economies 
Emerging economies are characterized by a low but growing per capita income and an ongoing process of institutional transformation and economic opening. Transition economies are a particular case of emerging economies which have abandoned the communist-style central planning system and committed to substantial reforms to adopt a free market approach. These fast growing emerging and transition economies play an increasingly significant role in the global market, with information and communication technology (ICT) being a key driving force in this process.

The objective of this mini-track is to encourage more research on ICT innovations driving development in emerging and transition economies by providing a forum for interested authors to disseminate their research, compare results, and exchange ideas. We especially invite researchers from Eastern Europe, as well as from BRIC countries, to submit their papers.

Grażyna Paliwoda-Pękosz, Cracow University of Economics, paliwodg@uek.krakow.pl
Piotr Soja, Cracow University of Economics, eisoja@cyf-kr.edu.pl
Paulo Rupino da Cunha, University of Coimbra, rupino@dei.uc.pt

Digital Innovations for Development 
The development of information and communication technologies (ICT4D) is necessary for the modern economy. Socio-economic development is possible with digital innovation, especially in crises. Innovative ICT solutions with interaction among individuals include social media, e-education, e-health, and e-government, supporting countries in developing their business competitiveness and socio-economic and political development. A particular challenge of ICT4D is to help poor, socially excluded, marginalized communities. Objectives of this mini-track focus on how digital innovation opportunities such as cyber-physical systems, blockchain, or data analytics can support overcoming crises, socio-economic growth including human capital development, social well-being, and promoting social development. We are interested in ICT4D effects in overcoming crises in management, marketing, customer relationship management, enterprise resource planning, business intelligence, human resource management, alternative trading system, or innovative management systems. Transdisciplinary innovations bridging the digital divide and ensuring fair and sustainable access to technology as a factor in international development are particularly desirable.

Jolanta Kowal, University of Wrocław, jolakowal@gmail.com
Pamela Abbott, The University of Sheffield, p.y.abbott@sheffield.ac.uk
Juho Mäkiö, University of Applied Sciences, Emden / Leer, juho.maekioe@hs-emden-leer.de

Blockchain for Development 
Blockchain is a promising technology. It is based on a shared, distributed ledger, where transactions are registered by consensus in a network of peers, using cryptographic mechanisms that render the records virtually immutable. This enables transparency, auditability, and resilience. Additionally, Blockchains can enforce smart contracts, further reducing uncertainty and promoting confidence among stakeholders and dispensing with middlemen.

There are innovative experiments in high profile areas, such as financial services, healthcare, value chains, intellectual property rights, or crowdfunding. In addition, Blockchain holds a huge potential for development. It can foster more democratic mechanisms and help fight corruption. It can also enable secure and lean ID mechanisms, reduce the number of unbanked, prevent voting fraud and tax evasion, improve management of public benefits, reduce commissions on remittances, or ensure integrity of public records. Using Blockchain, the opportunity exists to address afflicting areas and even leapfrog established solutions in developed countries.

Paulo Rupino da Cunha, University of Coimbra, rupino@dei.uc.pt
Piotr Soja, Cracow University of Economics, eisoja@cyf-kr.edu.pl
Marinos Themistocleous, University of Nicosia, themistocleous.m@unic.ac.cy

Track Chairs   

Obi Ogbanufe, University of North Texas, obi.ogbanufe@unt.edu
Michael Curry, Oregon State University, michael.curry@oregonstate.edu
Kane Smith, University of North Texas, kane.smith@unt.edu
Shuyuan Mary Metcalfe, Florida State University, smho@fsu.edu

Track Description     

Cybersecurity remains a key challenge for organizations despite massive investments over the last two decades. While technological advancements have been made to improve cybersecurity, human vulnerabilities have become the weakest link in security. High-profile events such as defections, espionage, and massive data breaches have led the public to question their own expectations of privacy. While there is an abundance of practices and techniques for employing cybersecurity, many hard problems remain unanswered.

The purpose of this track is to provide a forum for theoretical developments, empirical research findings, case studies, methodologies, artifacts, and other high-quality manuscripts. Sponsored by SIGSEC, we seek to address important questions arising from emerging developments in information security, such as: security analytics, financial crimes, security analytics, and digital forensics? How do system defenders share information to mitigate vulnerabilities and exploits? Does pervasive data collection deter privacy-conscious individuals? Do regulations and policies influence employee security behaviors and organizational security postures?

Minitracks:

Information Security Education, Training, and Awareness 
Information security breaches are largely attributed to employee non-compliance with organizational information security policies. For this reason, information security practitioners and researchers alike have recommended that organizations develop information security education, training, and awareness (SETA) programs that provide employees with the necessary knowledge and skills to act appropriately in the face of information security threats. Organizations have accordingly dedicated significant resources to the implementation and dissemination of SETA programs.

In this regard, IS research can play an important role in identifying the different theories and practices that may be effective in shaping employees’ knowledge and compliance with organizational information security policies. In this mini-track, we welcome all empirical, theoretical, and conceptual works of any and all methodological approaches that examine this topic.

Shadi Shuraida, University of Quebec – Téluq, shadi.shuraida@teluq.ca
Simon Bourdeau, ESG-UQAM, bourdeau.simon.2@uqam.ca
Thibaut Coulon, ESG-UQAM, coulon.thibaut@uqam.ca

IT Governance, Risk, and Compliance in the Context of Security and Privacy 
For many years, researchers addressed security problems purely from a technical perspective. More recently, the focus has shifted to IT Risk, IT Audit, and Compliance. Research papers addressing information assurance issues from a socio-technical, behavioral, and economic perspective may be submitted to this mini-track.

Governance, Risk, and Compliance (GRC) studies connect the impact of IT Risk to the overall Enterprise Risk Management process and give the stakeholders a complete picture of the organization. The track welcomes all papers that fit the track’s theme regardless of methodological persuasions. Literature survey papers are welcome.

Arunabha Mukhopadhyay, Indian Institute of Management Lucknow, arunabha@iiml.ac.in
Raj Sharman, University at Buffalo, SUNY, rsharman@buffalo.edu
Manish Gupta, School of Management, University at Buffalo,, mgupta3@buffalo.edu
Gurpreet Dhillon, IT and Decision Sciences, gurpreet.dhillon@unt.edu

Moving Beyond Traditional Constructs in Information Security Research 
This mini-track aims to investigate new theories and constructs that have not been explored in IS security compliance literature. Therefore, we invite innovative papers that explore new constructs and theories that address a variety of issues pertaining to employees’ behaviors toward IS security in organizations. The goal is to advance our understanding of the IS security noncompliance phenomenon. Cross-cultural studies or comparative studies highlighting differences and similarities regarding employees’ behaviors with IS security in emerging and developing countries are also welcome.

Mohammad Merhi, Indiana University South Bend, mmerhi@iusb.edu
Punit Ahluwalia, University of Texas Rio Grande Valley, punit.ahluwalia@utrgv.edu

Organizational Privacy Leadership and Implementation 
The literature offers a limited understanding of information privacy at the organizational level, with the exception of website privacy policies. Driven by global changes in the technical, legal, managerial, and economical environments, further academic research is needed to investigate the impact of these changes on organizational privacy implementations and leadership positions. This mini-track seeks to help academics and practitioners further explore the challenges faced by privacy leaders, welcoming research that addresses issues in organizational privacy.

Possible topics include, but are not limited to: organizational privacy and leadership, privacy structure within organization, organizational level privacy decisions, organizational compliance with privacy laws, evolutions of organizational privacy implementations, comparing security and privacy leadership within organizations, privacy-centric organization, case studies of organizational privacy, economics of privacy for organizations, organizational privacy culture, and global organizational privacy challenges.

May Bantan, Saudi Electronic University, mb2627@mynsu.nova.edu
France Belanger, Virginia Polytechnic Institute and State University, belanger@vt.edu

Security Analytics 
Industry is relying more heavily on Information Systems and Analytics to discover security anomalies using Big Data and Machine Learning. The intersection of these technological and statistical tools provides opportunities for security researchers to advance Information Systems Security and Analytics knowledge. This mini-track seeks papers focusing on opportunities for research which informs, creates or analyzes large datasets using statistical techniques and tools to uncover unauthorized access, attempts to modify stored or in process information, use of malware and any measures needed to detect, document, or counter security threats. Papers analyzing or assessing audit trails and other security information to identify system events indicating violations of system security as well as adversarial statistical and machine learning applications will also be considered. Theoretical development, empirical findings, methodologies or case studies seeking to examine security analytics are various forms of acceptable research.

Alexander McLeod, Texas State University, a_m919@txstate.edu
Tahir Ekin, Texas State University, t_e18@txstate.edu
Barbara Hewitt, Texas State University, bh05@txstate.edu

Extra Role Security Behaviors in the Workplace 
In addition to compliance with organizational information security policies (OISPs), employee behaviors that go beyond organizational prescription can substantially impact a company’s security posture.  Rapid distribution of the workforce and an evolving threat landscape have increased the value of this facet of behavioral security in recent years. Unfortunately, despite its value, employee disinterest in information security remains one of the greatest challenges to security programs today.  This issue is especially problematic for extra role security behaviors, which are discretionary and less responsive to formal controls. In response, this mini track seeks to expand the knowledge base on extra role security behaviors and the mechanisms that support it. We welcome research using a variety of theories, methodologies, and levels of analysis. Topics may include, but are not limited to human factors, normative influences, relational drivers, identity related mechanisms, information processing and decision making, and organizational enablers of extra role security behaviors.

Joshua Davis, Missouri State University, joshuadavis@missouristate.edu
Dr. Deepti Agrawal, Appalachian State University, agrawald@appstate.edu

Blockchain for Information Security & Privacy 
There has been a wide interest in both academia and practice regarding Blockchain technology and how it could address many existing organizational problems. Despite the wide interest, it seems that there is a limited understanding of how blockchain can be employed in today’s organizations to enhance the protection of data and informational assets. To that extent, it is pivotal for the Information Systems community, including both academics and practitioners, explore more deeply the practical applications of Blockchain in today’s organizations and what could be impeding such initiatives. We seek high-quality original research papers, both theoretical and empirical, on how blockchain technology can address organizational concerns in regard to Information Security & Privacy in different areas like business, healthcare, education, government, and nonprofit organizations.

Yazan Alnsour, University of Wisconsin – Oshkosh, alnsoury@uwosh.edu
Michael Patton, University of Wisconsin Oshkosh, pattonm@uwosh.edu

Track Chairs   

Asli Akbulut, Grand Valley State University, akbuluta@gvsu.edu
Geoffrey Dick, St. John’s University, gfdick@aim.com
John Muraski, The University of Wisconsin-Oshkosh, muraskij@uwosh.edu

Track Description     

Information systems (IS) educators face several challenges in the current environment, including dealing with declining enrolments, preparing students for the changes in the profession and updating curriculum to integrate new and emerging ideas and technologies such as augmented and virtual reality, artificial intelligence, blockchain, and internet of things. These challenges make sharing IS education-related knowledge and practices especially critical. Therefore, it is important that leading conferences, such as AMCIS, include a strong IS education track. As the official AIS special interest group on education, SIGED is uniquely positioned to organize an IS education track.

This track provides an opportunity for IS educators and researchers to exchange ideas, techniques, and applications through a combination of workshops, panels, and paper presentations. In constantly changing times full of technological disruption, much of our focus is on digital innovation and emerging technologies as well as quality advances in IS and MIS instruction and curriculum. Different submission topics are welcome, ranging from papers aimed at improving the teaching of specific courses to “big picture” papers intended to address broad topics. Submissions using information systems technology to advance education in other disciplines are also welcome.

Minitracks:

Innovative E-Learning Systems and Learning Analytics 
For several years, a digital transformation has taken place in the educational sector. The COVID-19 pandemic has strongly accelerated this process. As a result, many teaching settings are nowadays digitally enhanced.

This minitrack aims to make the gained knowledge of lecturers and researchers about innovative e-learning systems and learning analytics studies available to the community. Papers submitted to this minitrack should focus on exploring practical or theoretical studies. Design-oriented or empirical studies are highly welcome.

Potential topics of interest for this minitrack include, but are not limited to:

  1. Innovative E-Learning Systems:
  • AI-based e-learning systems (chatbots, intelligent tutoring systems, recommender systems, virtual reality-based systems, …)
  • Gamification, Game-based Learning and Nudging
  • Innovative in-class, blended or online learning settings
  • Innovative mobile learning apps
  1. Learning Analytics:
  • Investigating teaching and learning processes
  • Visualizations of students’ learning progress
  • Learning analytics dashboards
  • Learning analytics studies focusing on understanding learning processes

Sebastian Hobert, University of Goettingen, shobert@uni-goettingen.de
Florian Berens, University of Goettingen, florian.berens@uni-goettingen.de

Education in Data Management 
In this digital economy era, data is the lifeblood of an organization. As a result, data management is becoming a critical practice in utilizing data effectively, cost-efficiently, and securely. Good data management ultimately creates value and competitive advantages for an organization. Given the wide spectrum nature of data management, there is high demand for professionals with in-depth knowledge and technical skills in data-related areas, including database management, data engineering, data security, data governance, data analytics, business intelligence, etc. Many higher education institutions have been offering courses related to data management at the undergraduate and graduate level. However, paradigm shifts and new data technologies in the workplace have out-paced data management education. To address the issue along with the SIG ED track theme, this mini track solicits innovative curriculum or course development (design, planning, and implementation), pedagogy, case study, and business projects, in data management education and related areas.

Yao Shi, University of North Carolina Wilmington, shiy@uncw.edu
Xihui Zhang, University of North Alabama, xzhang6@una.edu
Judith Gebauer, University of North Carolina Wilmington, gebauerj@uncw.edu

Technology Enhanced Collaborative Learning
Information and Telecommunication Technologies (ITT) continue to play a considerable role in facilitating collaboration among individuals and organizations around the globe. The use of collaborative systems for teaching, learning, and engagement between both faculty-students and students-students increased considerably at all levels, in particular, during the pandemic and will continue to play a vital role even after the pandemic. The focus of this mini track is to explore theoretical and practical ways to incorporate learning technologies into teaching and learning to foster engagement, and to improve teaching and learning as well as the overall educational experience.

Rassule Hadidi, Metropolitan State University, rassule.hadidi@metrostate.edu

Digital Learning Practices, Especially During Pandemics
As a consequence of the COVID-19 pandemic that hit the entire globe in early 2020, most governments introduced crisis-management measures including “stay-at-home” orders. Such orders have affected, among others, schools and universities. Several governments introduced digital learning offers as a solution to enable students to continue learning from home. In this mini-track, we are interested in research that contributes to the understanding of digital learning systems and practices, not only, but in particular during pandemics such as COVID-19.

Safa’a AbuJarour, An-Najah National University, safaa.abujarour@najah.edu
Mohammed AbuJarour, XU Exponential University of Applied Sciences, m.abujarour@xu-university.de
Gergana Vladova, University of Potsdam, gergana.vladova@wi.uni-potsdam.de

General IS & Education 
The General IS & Education Mini-track aims to host high-quality research papers and best practices on IS Curriculum and Education topics that have not been covered in other SIGED mini-tracks. The mini-track encourages submissions focusing on innovation and quality advances in IS/MIS Education. Teaching cases and different types of submissions, including empirical, theoretical, qualitative, and quantitative research papers, are welcome. Potential topics of interest include, but are not limited to, the following:

  •   Virtual learning environments
  •   Online/hybrid teaching, MOOCs, flipped classrooms
  •   Continuous improvement in IS education
  •   Pedagogical and curricular innovations in IS education and their impact
  •   Student engagement in IS education
  •   Use of social media in IS education
  •   Gamification
  •   Emerging technologies and education
  •   Ethical and social issues related to IS education
  •   The importance of IS education in functional areas
  •   Improving IS/MIS Enrollments
  •   Underrepresentation of women and minorities in IS/MIS majors

Guillermo Rodríguez Abitia, William & Mary, grodriguezabit@wm.edu

IS and the Future of Work 
This track is interested in scholarly work that focuses on IS education from the perspective of workforce development. This track intends to produce models for future-centered curricular guidelines. We envisage research projects that investigate the IS discipline’s identity through its curriculum and its place with respect to other computing disciplines, and how these curricular guidelines address the modern workplace. Proposals for this track may include curriculum research, course planning and materials, case studies, and other IS education-relevant projects in addition to others:

  • Curriculum (design, planning, implementation, etc.)
  • Pedagogy
  • Course planning and design
  • Case studies
  • IS projects
  • Mobile IS learning
  • IS vs. IT vs. CS discussion
  • Experiential IS learning
  • IS planning for workplace preparation
  • Challenges of IS education for the workplace

Radwan Ali, Kennesaw State University, rali@kennesaw.edu
Humayun Zafar, Kennesaw State University, hzafar@kennesaw.edu

Advancing Equity in IS Education 
Improving the success, retention, and graduation rates of structurally disadvantaged students in computing disciplines such as IS has been deemed a national priority.  Structurally disadvantaged students – such as Black, Latinx, and Native American, first-generation, and low-income – are more likely to face systemic barriers which are perpetuated by long-standing inequities in society and higher education.

To advance research on equity in IS education, this mini track seeks papers, panels, demos, and other forms of research dissemination that address four broad areas: (1) pedagogical and curricular innovations that promote academic engagement and improve equitable outcomes; (2) social-psychological factors – such as social belonging, institutional growth mindset, etc. – that contribute to the success of structurally disadvantaged groups; (3) equity-focused and assets-based faculty development interventions designed to create more equitable learning environments; and (4) innovative data science and/or emerging technologies solutions to advance educational equity in higher education in general.

Roderick Lee, Penn State Harrisburg, rlee@psu.edu
Lynette Yarger, Penn State, lyarger@ist.psu.edu
Khaleed Fuad, Penn State Harrisburg, kmf6419@psu.edu

Design Thinking in Educational Approaches

We live in a time after the COVID-19 pandemic, where we are finding our feet in the new normal. Design Thinking, including Design Science, and Design Science Research (DSR) in Education, assists us in guiding and improving the curricula in teaching we deliver. In this track, we welcome discussions on Design Science in Teaching, both in undergraduate and postgraduate courses. We would also accept submissions on the teaching of DSR as research methodology and the application of Design Science Research in practice, for example, Computer Integrated Education.

Topics of interest include:

  • Use any design science approach, e.g., Design-Based Research, DSR, or others in the research on IS teaching or technology-enabled education.
  • The use of Design Science approaches in research on Computer Integrated Education
  • The use of Design Science in the development of curricula
  • The use of Design Science in the development and design of innovative teaching approaches

Hanlie Smuts, University of Pretoria, hanlie.smuts@up.ac.za
Machdel Matthee, University of Pretoria, machdel.matthee@up.ac.za
Tania Prinsloo, Department of Informatics, Pretoria, Gauteng, South Africa, tania.prinsloo@up.ac.za

Ethical and Social issues in the  IS Curriculum 

Just as corporations are expected to produce high-quality products, observe professional and industry standards and promote corporate interests in a way that is professional and observant of societal norms, business schools are expected to maintain academic standards and produce graduates who exhibit professionalism and who are conscious of their role in society with respect to climate change, gender equality, diversity, equity, inclusion, and social justice. Thus, the IS curriculum must be tailored to prepare students to engage in ethical and socially responsible ways in an increasingly globalized society. This mini-track will address ethical and social issues in the IS curriculum and recommend ways to incorporate them in teaching, taking place inside and outside the classroom and in research.

Mary Dunaway, Morgan State University, mary.dunaway@morgan.edu
Mary Macharia, Southern Illinois University Edwardsville, mwmacharia@gmail.com

Track Chairs   

Jennifer Pullin, Virginia Military Institute, pullinje@vmi.edu
Sam Zaza, Middle Tennessee State, Sam.Zaza@mtsu.edu

Track Description  

The IS Leadership and the IT Profession track is aimed at fostering a forum for IS scholars engaging in a range of issues surrounding the practice of IT related research including IS leadership, the IT workforce, career development/training and issues surrounding the IT profession. Specific objectives of the track are to allow members to share their research, develop the discourse between academia and practice, engage in exchange of perspectives, and encourage future collaborations. The track is sponsored by the AIS Special Interest Group on IS Leadership (SIGLEAD) in collaboration with the Society for Information Management (SIM). This track has been led by SIGLEAD and hosted at AMCIS since 2003. The proposed track title is an evolution of the previous Human Capital in Information Systems title as the new title was determined to be more reflective of the SIGLEAD sponsorship, more reflective of growing coordination with SIM and more inclusive of the research interests of both groups.

Though articles on IS leadership and the IT profession abound in the practitioner press, much less attention has been devoted to the topic from an academic perspective. IT professionals – whether leaders at the CIO level, IS project and line staff or external professional service providers – are the human dimension of the discipline and therefore issues surrounding IT practice are of enduring concern to academics and practitioners alike. Mini-tracks will be sought to cover the range of the track interest and authors will be encouraged to submit both conceptual and empirical papers contributing to both research and practice that employ a variety of quantitative and qualitative methodologies.

Minitracks:

Issues in the General IT Leadership
The Issues in the General IT Leadership mini-track is aimed at fostering a forum for IS scholars engaged in issues highly relevant to the practice of managing information systems to share their research, engage in exchange of perspectives, and encourage future collaborations.

Though articles on issues in the IT profession are common in the popular press, much less attention has been devoted to the topic from an academic perspective. Managing IT requires leaders to understand the interplay between managerial decisions and information technologies and systems. Research regarding issues in the IT profession examines the business impacts relating to the decisions that IS leaders must make regarding the people, processes, data and technology that are makeup information systems. Research areas related to issues of the IT profession are informed by the results of the Society of Information Management (SIM) annual survey of IS leadership priorities.

Joseph Taylor, California State University, Sacramento, joseph.taylor@csus.edu
Mike Taein Eom, University of Portland, eom@up.edu
 

IT Profession 
The IT Profession is a term that covers IS/IT professionals playing different roles within organizations. The roles include CIOs, IT managers, IT supervisors, software developers, programmers, data scientists, IT security officers, IT consultants, and IT project managers. While IT Professionals drive success in today’s organizations, the IT Profession has challenges and dilemmas which include; IT value realization, climbing the corporate ladder, diversity in the IS/IT workforce, professional identity, ever changing skillsets, professional development, work-life balance, role of industry certifications, talent management, professional resilience, professional ethics, managing IT workforce among others. Though literature on the IT Profession abounds in the practitioner press, there is need to address the topic from academic perspective. The mini track aims at research that addresses these challenges and dilemmas within the context of organizations and society. The mini-track, sponsored by SIG LEAD will enable scholars and IT Professionals to network and explore areas of collaboration.

May Bantan, Saudi Electronic University, mb2627@mynsu.nova.edu
Diana Young, Trinity University, dyoung1@trinity.edu

IS Leadership 
The mini-track seeks to explore the various dimensions, theoretical bases, and perspectives on IS Leadership Development and to advance the state of scholarship on the issue. Authors are encouraged to submit both conceptual and empirical papers that employ various quantitative and qualitative methodologies. Topics include, but not limited to:

  • CIO and CTO leadership including TMT integration, influence, and leadership styles
  • Chief Digital Officers and emerging new roles in digital innovation and transformation
  • Impact of both technical and non-technical executives on innovation and organizational performance
  • Effect of the board of directors and shareholders on IT policy, governance, and management
  • Impacts of having IS as a secondary role in SME leadership

Stéphane Gagnon, Université du Québec en Outaouais, admin@gagnontech.org
Paola Gonzalez, Dalhousie University, paola.gonzalez@dal.ca

Track Chairs   

Dawn Owens, The University of Texas at Dallas, dawn.owens@utdallas.edu
Abhishek Tripathi, The College of New Jersey, tripatha@tcnj.edu

Track Description     

In today’s highly competitive marketplace, organizations continue to look for ways to make the most of their projects. Information technology (IT) projects specifically continue to face challenges related to uncertainty and changing technology. IT projects have become notorious for high failure rates, significant cost and/or budget overruns. Both research and anecdotal evidence suggests that many IT projects struggle to meet functionality and quality targets. Research has identified multiple reasons for these challenges in IT projects, such as: project escalation, poor risk management, failure to manage user expectations, poor software development or project management processes, inability to learn from past mistakes and successes, or even challenges related to virtual projects. The insights gained from research in this area are often highly relevant to practice and can offer new contributions to existing theory. As a research community, there is still much to be learned and discussed about improving success rates for IT projects. This track welcomes papers that address a diverse range of topics related to IT project management.

Minitracks:

General Topics in IT Project Management 
The Minitrack will feature papers and panel(s) that focus on problems that cut across many traditional IS/T Project Management areas, including, but not limited to, the following topics:

  • Theories used in project management
  • Virtual and distributed project management
  • Patterns of project management
  • Agile project management
  • Knowledge networks
  • Project management methodologies
  • Project leadership
  • Project quality metrics
  • Best practices in project management
  • Project management standards
  • Project success
  • Knowledge sharing and management in IT projects
  • Portfolio project management
  • Project governance models
  • Software and eservices project management
  • Project auditing

Gaurav Shekhar, The University of Texas at Dallas, gauravshekhar2003@gmail.com
Deepak Khazanchi, University of Nebraska at Omaha, khazanchi@unomaha.edu

Emerging Technologies and Project Management 
Emerging technologies such as the internet of things (IoT), sensor networks, artificial intelligence/machine learning (AI/ML), and big data analytics yield a wide range of new applications and project management research issues. These relatively recent technological innovations bring many challenges and also often affect economic interests. Some of these challenges can severely undermine the various resources of organizations. Understanding the full potential of these technological innovations and trends requires that we produce technical solutions and address corresponding changes in the way we manage them. This means that various IT project stakeholders’ work tasks and skills will need to be further understood.

Furthermore, these issues are also a relevant concern for IT leaders (Kappelman, L. et al., 2018). Policies and frameworks related to these trends are critically important for organizations. A greater understanding of these emerging technological trends is required to address the various organizational and socio-political threats (Tripathi & Khazanchi, 2018).

Michael Erskine, Middle Tennessee State University, Michael.Erskine@mtsu.edu
Anoop Mishra, The University of Nebraska at Omaha, amishra@unomaha.edu
Deepak Khazanchi, University of Nebraska at Omaha, khazanchi@unomaha.edu

Track Chairs   

Michael Cuellar, Georgia Southern University, mcuellar@georgiasouthern.edu
Duane Truex, Georgia State University, dtruex@gsu.edu

Track Description     

Meta-research (research on research) is a reflection among Information Systems (IS) scholars on issues surrounding the production of IS research. As such, it is a valuable venue for scholarly discussion within IS. It includes topics like the structure and development of the field, the core and boundaries of the field, field legitimacy, scholar/department/journal/country ranking methods, discussions of research culture and practices, methods for evaluating scholarship, literature reviews, IS methods guideline reviews, as well as novel methods, theories, and debate.

The overall goal of the track is to showcase unique leading edge empirical, theoretical commentary that comprises what we call meta-research. A proper venue for reflexive work has been lacking within the structure of usual tracks at AMCIS. This kind of overview allows the discipline to assess and choose core premises. It is especially important because of the diversity of topic domains that fit into the overall IS scope, which is essentially multidisciplinary in terms of source foundations. The track provides a coherent framing for papers that might be rejected in other tracks for lack of fit, and a place for theoretically diverse and reflexive scholars to share perspectives. It also looks at the discipline as a scholarly culture.

Minitracks:

Emergent theory in Information Systems Research 
This minitrack provides the opportunity for researchers to present examples, evidence, and analysis of the processes of the emergence of theory in Information Systems (IS) research. In specific schools of thought such as in philosophy, systems theory, science, and art, the concept of emergence implies that what has emerged is different from what it was that came together to produce the final form. Thus, what is seen as evidence of emergence is not its emergent properties but what the properties produced. Many studies that seek to address the nature of theory emergence tend towards ontological perspectives and importantly the contribution of Mill (2002). In discussions about the constitution of IS theories, one may be left with the question of how much might be gained from gnawing on the bones of existing theoretical constructs when the life of a theory is strongest at its inception and manifestation.

Alan Litchfield, Auckland University of Technology, alan.litchfield@aut.ac.nz

Meta-Research General Topics

The Minitrack will be the home for research that focuses on problems that cut across many Meta-Research topics, including, but not limited to, the following topics:

  • Literature Reviews of IS topics – –Papers that review the state of research in a particular area or in the IS field in general
  • Evaluation of Scholarship–This mini-track might cover papers that provide data and methodologies for evaluating scholarship in support of the promotion and tenure (P&T) process.
  • Biblographic Studies – Research that uses Biblographic or other information science methods.
  • Scope, Boundary, and Structure of the IS Field–These papers would include research exploring the nature of the IS field, its scope, and boundaries Patterns of project management
  • Research Methods (Methodological Guidelines/Methodological Improvements)

Hirotoshi Takeda, University of Southern Maine, hirotoshi.takeda@maine.edu

Track Chairs   

Emmanuel Monod, Shanghai University of International Business and Economics, Emmanuel.Monod@outlook.com
Elisabeth Joyce, Edinboro University, ejoyce@edinboro.edu

Track Description     

This track proposes to continue and extend the past tracks on philosophical approaches to Information Systems. Interest in this field appears to be growing, as shown by the two panels at this year’s AMCIS conference. The theme of digital innovation and entrepreneurship would be proposed along the dimensions of social media, digital live AI and digital transformation and BPM. Other IS and philosophical approaches related to the theme may be envisioned.

Minitracks:

Validity Approaches and Strategies in Information Systems Research
Evaluating the quality of research and data is crucial if its findings are to be used as a significant contribution to the body of knowledge. Pedhazur & Schmelkin (1991), in their book, argued that the characterization of validity might refer to the appropriateness of the specific inferences. To some, validity refers to how correctly a method measures what it is envisioned to measure, i.e., a measure of how accurately the research answers the questions it was commissioned to respond to. To others, the validity of a research study refers to how well the results among the study participants represent accurate findings among similar individuals outside the study. This call for the articles aims to encapsulate the approaches and strategies available for the IS researchers to ensure the credibility of their research designs and findings which may facilitate the trustworthiness of their research work.

Nooralisa Mohd. Tuah, Universiti Malaysia Sabah, alisa.tuah@ums.edu.my
Syed Nasirin, Universiti Malaysia Sabah, snasirin@ums.edu.my

Philosophical Ideas for Research Design and Theorizing in IS Research
Any mention of philosophy, especially in front of PhD students, brings about an uncomfortable situation. They take it either as business for the philosophy department or as something that is filled with intimidating terminology. The irony, however, is most of the time they have to deal with questions such as: what your ontological and epistemological stance is; how your methodology and philosophy are interrelated; are you a positivist, interpretive, pragmatist, or realist. Likewise, terminologies such as empiricism and rationalism, which they use frequently without knowing their actual origins, keep on arising. We as IS scholars need to read and understand basic philosophical ideas. Hence, this mini track will invite papers that emphasize but not limited to philosophy of technology in IS context; comparative analysis of different philosophical paradigms (positivists, interpretive, critical realist, pragmatists, etc.), role of eastern philosophy, how philosophy make sense in theorizing, and role of ethics in AI.

Devinder Thapa, University of Agder, devinder.thapa@uia.no
Amir Haj-Bolouri, Business and Informatics, amir.haji-bolouri@hv.se

Philosophical Foundations in Digital Innovation
Digital innovation carries benefits and risks that have not received adequate attention in the IS field. This minitrack will focus on the philosophical foundations in digital innovation, particularly in terms of the underlining motivations and strategies shaped by conceptual perspectives.

Emmanuel Monod, SUIBE, monod@suibe.edu.cn

Track Chairs   

Sara Moussawi, Carnegie Mellon University, smoussaw@andrew.cmu.edu
Raquel Benbunan-Fich, Baruch College, Raquel.Benbunan-Fich@baruch.cuny.edu

Track Description     

As the quantity of data captured about and shared by individuals has exploded over the last two decades, there has been a resurgence of interest in information technologies – such as social networking platforms, collaborative filtering and reputation management systems – that facilitate social interaction among individuals. With the recognition that Social Computing straddles research at the intersection of social behavior and computing technologies, we would like to encourage papers that approach this topic from a plurality of research methods and perspectives. This track welcomes submissions that explore how these Social Computing technologies have transformed how people work, communicate, and play together.

Minitracks:

The Dark Side of Social Media 
The challenges and problems of social media have drawn increasing scholarly attention in recent years, such interest is further fueled by the continued growth in usage and the perpetual change in features. There are pressing questions that remain unanswered and call for further investigation. This mini-track invites papers that identify and address the dark side of social media, the aspects of social media that negatively impact people’s personal lives, disrupt the operation of organizations, and mangle the social fabric. The goal is to raise awareness of the negative aspects of social media use and identify innovative approaches to maintaining a safe and productive environment and creating social well-being for the greater good. Empirical, theoretical, or position papers are welcome in this track.

Qin Weng, University of Arkansas, qinweng@uark.edu
Wendy Wang, University of North Alabama, wendy_phoenix@hotmail.com

Social Media Platform Analytics and Behavioral Modeling 
Social media platforms play an important role for users or companies in e-commerce environments. The power on social media platforms reveals deep meanings; for example, photos, videos, emotions, or microblogs. The sentiment and behaviour behind social media platforms has influence and impact on e-commerce. By using the advantages of social media platforms, enterprises have lots of opportunities to increase the success of e-commerce businesses. The rising social platforms in an online situation that have deep impact in shaping commercial channels on and off the Internet. Certain disciplines also cover the scope of social media such as psychology, computer science, communication, management, marketing, and social science. The purpose of this minitrack is to discuss the impact of social media platforms on business in terms of customer, enterprise, and society perspectives. This minitrack also aims to explore critical factors and relations of social media platforms, commerce, and customer behaviors on e-commerce business.

Wei-Lun Chang, National Taipei University of Technology, wlchang@ntut.edu.tw
Yen-Hao Hsieh, National Formosa University, yhhsiehs@nfu.edu.tw

Decision Making in Online Social Networks: Wisdom and Folly of Crowds
Online Social Networks and Communities (OSN) have transformed how we make decisions. Increasing use of the ‘wisdom of crowds’ as a source of information or reference for those seeking advice raises research and practical interest in understanding how OSN influence and change our everyday decision-making (DM).

The challenges that face users of OSN are information overload and a wide range of online information sources that can complicate decision-making and lead to delays. A further problem is that the most referenced decision-making theories, frameworks, models and concepts were developed in the early 20th century when the influence of online collaboration could not be foreseen. Therefore, it is anachronistic to examine contemporary decision-making practice using more than six decades old models.

The objective of this mini-track is to understand and build theoretical foundations on how OSN can provide support, influence, manipulate, dehumanize and change decision-making at the individual, corporate, and societal levels.

Gabrielle Peko, University of Auckland, g.peko@auckland.ac.nz
Valeria Sadovykh, Universtiy of Auckland, ahlerka@hotmail.com

Track Chairs   

Amy Connolly, James Madison University, conno3aj@jmu.edu
Leigh Mutchler, James Madison University, mutchlla@jmu.edu
Daniel Rush, Boise State University, danrush@boisestate.edu

Track Description     

The Social Inclusion track welcomes relevant empirical and qualitative research, in either completed research or emergent research format, that relates to the mission of SIG Social Inclusion (SIG SI). While research about inclusion spans multiple facets of everyday life, this year we adopt the theme of the conference and call for papers related to diversity, equity and inclusion (DEI) and ethical issues related to the adoption and use of emergent technologies, AI and algorithmic biases, and digital platforms and societal challenges for e-inclusion. In addition, we welcome papers that tackle the general topics of inclusion: the under-representation of gender minorities, race, ethnicities, neurodiversity, and abilities in the IS field, intersectionality of identities (such as ethnicity, gender and socio-economic class), socioeconomic divisions that impact access to or use of technology, designing for the differently-abled, the digital divide, underserved groups in the information society, and a range of topics related to human diversity, and the “haves” and “have nots” in an information society.

Minitracks:

General Track 
The purpose of the General Social Inclusion Mini-track is to host high-quality research related to social inclusion, diversity, and equity issues that are not covered by the other SI mini-tracks. The general mini-track encourages submissions that use innovative research methods and/or theories to consider important issues through new lenses and paradigms, such as critical theory, design science, and networking theory. Examples include, not limited to, research about global South issues, LGBTQ+, gender biases, and neurodiversity.

Sam Zaza, Middle Tennessee State University, sam.zaza@mtsu.edu
Stephanie Totty, Middle Tennessee State University, stephanie.totty@mtsu.edu

Using IS for Good 
Information systems (IS) have the potential to improve social welfare through redistribution of power, providing a voice for marginalized people, improving access to education, and increasing economic opportunity (George & Leidner, 2019; Lin, et al., 2015; Ortiz et al., 2019; Silva & Hirschheim, 2007; Vaidya & Myers, 2017). Some development programs that sought to use IS for a good cause have been highly successful, but many other projects, even those well designed and well-funded, have never gotten off the ground (Chipidza & Leidner, 2019). This track is dedicated to research on how IS has been used for good, how and when it is successful, and how and when it tends to fail. The contribution of the track is the development of theory and methods for improving the outcomes when IS is used for Good.

Wallace Chipidza, Claremont Graduate University, wallace.chipidza@cgu.edu
Teagen Nabity-Grover, Boise State University, teagennabitygrov@boisestate.edu

Social Theory in Information Systems Research (STIR ‘23) 
Social theories focus on how societal structures affect individuals as actors within complex systems. This mini-track welcomes papers applying innovative and inclusive social theories to IS research contexts. Examples include actor network theory, socio-technical systems theory, individual differences theory of gender and IT, and similar critical theories, methodologies and paradigms. Papers in this track will address how information and communication technologies (ICTs) may be used to help or hinder social inclusion issues in society, such as digital divide, gender and racial equity, work-life balance and social justice. In line with the main conference theme, Diving into Uncharted Waters, we are especially interested in research that considers how social theories and ICTs can be better applied in unprecedented circumstances, like those we are currently experiencing.

Lauren Rhue, University of Maryland, lrhue@umd.edu
Marc Schmalz, Boise State University, marcschmalz@boisestate.edu

Social Inclusion of Refugees, Migrants, and Marginalized Groups Through Technology 
This minitrack covers an evolving idea that is highly relevant to the Information Systems field: Social Inclusion Through Technology. The goal of this minitrack is to raise awareness and generate scholarly debates about the opportunities and barriers to social inclusion through technology in our ever increasingly interconnected world. We search for papers that help to uncover the beneficial use of digital transformation solutions that could help and empower refugees and host communities using the bright side of existing technologies in integrating refugees into society. In this minitrack, we welcome submissions – either as full research or research in progress – that analyze the role digital technologies play in promoting and facilitating the social inclusion of different social groups in different dimensions of life.

Safa’a AbuJarour, An-Najah National University, safaa.abujarour@najah.edu

Immersive Technologies (AR/VR) and Social Inclusion 
This track seeks papers related to the conference theme of “Diving Into Uncharted Waters” especially as they relate to problems and opportunities with immersive technologies (AR/VR) and social inclusion. Immersive technologies such as augmented reality (AR) and virtual reality (VR) hold untold potential to help marginalized people overcome issues of physical access (such as disabilities or an inability to travel), social isolation, or other barriers. Furthermore, AR/VR provide affordances such as feelings of being physically present and heightened empathy, which may lead to better-lasting effects of training versus digital simulations. Despite its promises, these immersive technologies – if not designed with inclusion and accessibility in mind – may be a double-edged sword that could exacerbate existing inequities of legacy systems.

Chengqi (John) Guo, James Madison University, guocx@jmu.edu
Christopher Kreider, Christopher Newport University, chris.kreider@cnu.edu

Leveraging Technology to Promote Equity, Accessibility, and Inclusiveness 
Social inclusion is the first step towards building an equitable, fair, and impartial society. To advance research and practice on social inclusion, this mini track seeks empirical research, theory development, case studies, and other forms of research dissemination that address five broad areas that emerged during the pandemic disruption: (1) how organizations leveraged or did not leverage technology to advance accessibility, inclusiveness, and equity in the design and implementation of their digital products and services; (2) innovative ways to leverage inclusive design or equity-centered design thinking methods to ensure digital products and services are accessible and inclusive; (3) how organizations leverage technologies to advance equity and inclusiveness in recruitment and retention of students, faculty, and staff; (4) how organizations leveraged smart technologies such as wearables and IoTs to improve existing assistive technologies; and (5) best practices to leverage equity by design to ensure our digital futures.

Roderick Lee, Penn State Harrisburg, rlee@psu.edu
Subhasish Dasgupta, George Washington University, dasgupta@gwu.edu
Kelsey Kirk, Penn State Harrisburg, klk5059@psu.edu

Track Chairs   

Dorit Nevo, Rensselaer Polytechnic Institute, nevod@rpi.edu
Julia Kotlarsky, The University of Auckland, jkotlarsky@auckland.ac.nz
Rajiv Sabherwal, University of Arkansas, RSabherwal@walton.uark.edu

Track Description     

In the digital age, organizations face the challenge of adapting IS sourcing practices to numerous major changes (Dibbern et al. 2020). First, digital technologies increasingly permeate the processes, products, and services of companies (Venkatraman 2017). These include IS services and products offered by a vibrant and increasingly complex ecosystem of providers such as consulting companies, standard software providers, specialized development firms, and digital platforms. Second, the digital transformation entails a number of concurrent technological shifts such as the rise of AI and new architectural paradigms (e.g., microservices, low-code platforms, and serverless computing) that fundamentally change the nature of the task that is being sourced. Examples include relying on intelligent software agents rather than human actors (Rutschi and Dibbern 2020; Willcocks et al. 2016), reconfigure firm boundaries, and add further complexity to the already confusing number of alternative sourcing arrangements that include multi-sourcing (Oshri et al. 2019), cloud-services (Hoffmann et al. 2020; Gozman and Willcocks 2018) and governance mechanisms (Benaroch et al. 2016; Gregory et al. 2013; Huber et al. 2013; Kotlarsky et al. 2020; Wiener et al. 2016). Furthermore, with the growing popularity of data-driven business models issues associated with data sourcing are becoming more prevalent (Wiener et al. 2020). Perhaps even more drastic changes lie ahead in the outsourcing of information services, amidst emerging technologies such as “big data,” blockchains, social media, cloud computing, and artificial intelligence (Sabherwal 2020). To respond to these changes, sourcing professionals will have to adapt their decision and governance practices—offering unique opportunities for researchers to advance understanding of the evolution and socio-technical underpinnings of sourcing practices (Sarker et al. 2019).

Increasing digitization and digitalization has also given rise to new sourcing models that leverage digital platforms to engage the “crowd.” IS researchers have responded to these developments by investigating new business models that rely on crowd involvement and are mediated by digital platforms – e.g., business models associated with gig economy (Wiener et al 2021). This focus on crowdsourcing and digital platforms (e.g., “online marketplaces” (Gefen and Carmel, 2008), “crowdwork platforms” (Gol et al. 2019) and “microsourcing platforms” (Guo et al. 2021)) is closely related to the larger phenomenon of IS sourcing (Nevo and Kotlarsky, 2020).

This track welcomes papers that improve our understanding of how, why, and under what conditions sourcing can make a positive contribution to the digital transformation of firms. It also invites studies that investigate sourcing-related aspects from perspectives of different stakeholders – crowd, platform, or focal firm (crowdsourcer) – including new business models that rely on crowd participation.

Minitracks:

Crowdsourcing through Digital Platforms
Crowdsourcing through digital platforms affords large groups of people to contribute to an overarching goal, usually via virtual communities. Today anyone in the world with basic knowledge or resources has work opportunities afforded by digital platforms which link buyers and sponsors with a crowd or community. Inspired by the conference theme of “Diving Into Uncharted Waters”, this mini-track aims to investigate the high-impact potential of crowdsourcing, the gig-economy, sharing-economy, and platform-economy for economic and social benefit.

Increasing digitization and digitalization has also given rise to new sourcing models that leverage digital platforms to engage the “crowd.” IS researchers have responded to these developments by investigating new business models that rely on crowd involvement and are mediated by digital platforms – e.g., business models associated with gig economy (Wiener et al 2021). This focus on crowdsourcing and digital platforms, “crowdwork platforms” and “microsourcing platforms” is closely related to the larger phenomenon of IS sourcing (Nevo and Kotlarsky, 2020).

Timothy Olsen, Gonzaga University, olsent@gonzaga.edu
Joseph Taylor, California State University, Sacramento, joseph.taylor@csus.edu
Pitso Tsibolane, University of Cape Town, pitso.tsibolane@uct.ac.za

Artificial Intelligence (AI) and AI-powered platforms in IS sourcing arrangements and eco-systems
IS sourcing arrangements (e.g., outsourcing, multi-sourcing and crowd sourcing) include complex ecosystems involving multiple organizations and individuals. Proliferation of AI-powered platforms creates even more complex dynamics for the IS sourcing arrangements. AI-powered platforms might be used for knowledge management, managing tasks, work activities or resources in IS sourcing arrangements. A better understanding of the use AI-powered and its orchestration will enhance the effectiveness of IS sourcing arrangements. Thus, this mini track attempts to explore the use of AI-powered platforms for IS sourcing purposes through different aspects such as knowledge management, managing tasks, work activities or resources in IS sourcing arrangements. We also welcome submissions on other AI and sourcing related topics, such as sourcing of AI technologies and services, and how it is different from traditional IT (out)sourcing.

Maduka Subasinghage, Auckland University of Technology, maduka.subasinghage@aut.ac.nz
Reihaneh Bidar, University of Queensland, r.bidar@uq.edu.au

Track Chairs   

Indira Guzman, California State Polytechnic University Pomona, irguzman@cpp.edu
José Pineda, California State University, Long Beach, jose.pinedadelgado@csulb.edu
Flávio Horita, Federal University of ABC, flavio.horita@ufabc.edu.br

Track Description     

The AMCIS Spanish, Portuguese, and Latin America track promotes IS/IT/MIS research in and about Latin America. Latin America makes up a large part of the Americas and its population speaks primarily Spanish or Portuguese. This track opens a space for rigorous and high-quality IS/IT/MIS research that is written in Spanish or Portuguese while also accepting papers in English focused on Latin America.

Minitracks:

MIS/IT/IS Research in Portuguese 
The AMCIS 2023 Spanish, Portuguese, and Latin America track promotes IS/IT/MIS research in and about Latin America. This mini-track opens a space for rigorous and high-quality information systems research that is written in Portuguese.

Taiane Ritta Coelho, Federal University of Parana, taianecoelho@ufpr.br
Marcia Cassitas Hino, Tuiuti University – Paraná, Brazil, marcia.hino@utp.br

MIS/IT/IS in Latin America 
The AMCIS 2023 Spanish, Portuguese, and Latin America track promotes IS/IT/MIS research in and about Latin America. This minitrack opens a space for rigorous and high-quality information systems research in Latin America that is written in English.

Daielly Mantovani, University of Sao Paulo, daielly@usp.br
Gladys Simpson, Florida International University, gsimpson@fiu.edu

MIS/IT/IS Research in Spanish 
The AMCIS 2023 Spanish, Portuguese, and Latin America track promotes IS/IT/MIS research in and about Latin America. This mini track opens a space for rigorous and high-quality information systems research that is written in Spanish.

Donna Roper, Universidad de Panamá, donna.roper@up.ac.pa
José Jimenez, Universidad de Panamá, jose.jimenezp@up.ac.pa
Ariel La Paz, University of Chile, lapaz@fen.uchile.cl

Track Chairs   

Jack Becker, University of North Texas, Jack.Becker@unt.edu
Lazar Rusu, Stockholm University, lrusu@dsv.su.se

Track Description     

Several AMCIS tracks focus on the uses of digital and information technologies in decision making. This track returns to the fundamentally important Strategic and Competitive Uses of Information and Digital Technologies (SCUIDT). The Information Age ushered in the use of information and digital technologies for generating business value and gaining competitive advantage. Indeed, for many businesses today, their very critical success depends upon both tactical and strategic uses of every aspect of their information and digital technologies. The need for speed, efficiency, agility, and mobility continues to place information and digital technologies into the forefront of organizational strategies and tactics. Furthermore, the timely use of big data methodologies and analytics is sparking demand for data scientists in all fields. Submissions to the Strategic & Competitive Uses of Information and Digital Technologies track may include complete papers and research-in-progress (ERF). Papers may be conceptual, theoretical, or empirical research, or case studies. Any research that focuses on the strategic and competitive use of information and digital technologies (SCUIDT) will find a home in this track (See also General Mini-track).

Minitracks:

Digitization and Strategic IT-enabled capabilities 
While IT and digitization are relevant factors in firm success, firms’ ability to synthesize information and knowledge is becoming of greater salience in shaping firm performance and innovation. In the present era of breakthroughs in computing capabilities of IT systems, firms must explore avenues for gaining strategic advantage through improved information management. Digitization, manifested through different IT-enabled capabilities such as IT-enabled Information Management Capability (IMC), enables firms to respond to rapidly changing market needs, provides resourceful information for better decision making, facilitates flexibility to fulfil more customers’ needs, and enables digital innovation. The recent pandemic did not only tested the existing business models but also acted as a catalyst for innovative applications of IT in businesses. The challenges and IT enabled solutions during these times have the potential to change the way businesses utilize IT enabled capabilities.

Bidyut Hazarika, Western Michigan University, bidyut.hazarika@wmich.edu
Mariana Andrade, The University of Georgia, andrade@uga.edu
Utkarsh Shrivastava, Western Michigan University, utkarsh.shrivastava@wmich.edu

IT and Data Governance in the Era of Digital Transformation 
Information Technology (IT) plays today a key role in digital successful companies. This role calls for a specific focus on IT and data governance in order to achieve business value from digital investments. On the other hand, business-IT alignment continues to be essential for organizations due to the strategic benefits brought to organizations and the contribution to the improvement of their performance. Today’s organizations are very committed to engaging in a digital transformation journey in order to create business value. Therefore, this requires from organization’s management to focus on having effective IT and data governance mechanisms in their organization that as a result will enable business-IT alignment and data-based decision-making. In the era of digital transformation, we noticed that the research in IT and data governance has continued to grow in importance; therefore, is still a need to explore new insights into the theories and practices in this research topic.

Edimara Luciano, Pontifical Catholic University of Rio Grande do Sul, eluciano@pucrs.br
Parisa Aasi, Stockholm University, parisa@dsv.su.se
Gianluigi Viscusi, Imperial College, g.viscusi@imperial.ac.uk

Strategic Impact of Digitized Products 
The digital transformation of the business environment has been keeping companies and economies in a constant challenge over the last years. In this rapid internal and external transformational process, digitized products and services are becoming increasingly important to achieve and maintain competitive advantage. The combination of physical and digital components, their interdependencies, and the resulting potentials on an organizational and environmental level enable companies to innovate their products, processes, and even whole business models. Additionally, it is important for companies to understand how they can achieve and maximize the impact of digitized products and services. Due to the topicality of these issues, relevant and future-oriented research in digitized products and services is of tremendous significance. Consequently, there is a strong need for additional insights into the strategic impact of digitized products and services on businesses processes and business models.

Christian Leyh, Technische Hochschule Mittelhessen (THM) – University of Applied Sciences, christian.leyh@w.thm.de
Katja Bley, TU Dresden, katja.bley@tu-dresden.de
Raoul Hentschel, Chair of Business Informatics, esp. IS in Manufacturing and Commerce, raoul.hentschel@tu-dresden.de

The Strategic Implications of Digitalization in Organizations
Recent research suggests that strategic digital innovation outcomes in organizations depend on the varied roles that users and designers of digital technologies play. Traditionally, technology affordance research has been focused on how different goal-oriented actors (i.e., individuals, organizations, or ecosystems) interact with digital technologies to address their needs. Research has now diversified towards investigating how digital technologies and platforms drive the development of strategic product, service, social, and environmental innovations by looking at the architecture of digital market offerings by designers and governance of platforms by owners. Contrastingly, technology constraints highlight how actors can be held back from addressing their needs when interacting with a certain technology. Recent research from emerging and developing economies shows that constraints-driven digital technologies and platforms can be used to create simultaneous economic, social, and environmental value. This mini-track calls for similar research considering diverse perspectives on the strategic implications of digitalization.

Arman Sadreddin, Concordia University, arman.sadreddin@concordia.ca
Suchit Ahuja, Concordia University, suchit.ahuja@concordia.ca

Impact of IT on Strategic Innovation & Competitive Advantage 
Strategic innovation is essential for competitive advantage. Information and digital technologies (IT) are vital elements in facilitating innovations in strategy, business models, and management practice. Thus, IT and digital capabilities, and associated IT-enabled capabilities and strategies have emerged as a business imperative to foster strategic innovation and realize resultant performance gains in recent times.

There is a growing stream of literature that mirrors developments in practice regarding the role of IT in enabling several forms of innovation and innovative business strategies. This mini-track seeks to add to this discourse and solicits studies that examine nuances associated with leveraging IT for a variety of forms of innovation, competitive advantage, and performance. Papers in this mini-track would explore how IT enables any or several innovative strategies for firm performance. Although the focus is on studies at the firm level, studies at the individual, team, group, or industry levels are also welcome.

Jiban Khuntia, University of Colorado Denver, jiban.khuntia@ucdenver.edu
Terence Saldanha, University of Georgia, terence.saldanha@uga.edu
Abhishek Kathuria, Indian School of Business, abhishek_kathuria@isb.edu

Track Chairs   

Arturo Castellanos, William & Mary, aacastellanosb@wm.edu
Jon Beard, Iowa State University, jwbeard@iastate.edu
Dominik Bork, TU Wien, dominik.bork@tuwien.ac.at

Track Description     

Systems analysis involves examining business problems (opportunities) and identifying possible solutions, whereas systems design includes the identification, specification, and implementation of an information technology solution. The combined field of Systems Analysis and Design (SAND) deals with all issues related to the development of systems and is of central importance to the Information Systems discipline, including understanding how businesses can create value with new digital technologies. The SAND track provides a forum for discussing research related to systems development tools, methodologies, and other activities throughout the systems development life cycle (SDLC). This includes requirements determination, modeling techniques and languages, agile systems development practices, empirical evaluation of analysis and design methods, user involvement in systems development, open-source development, design of systems architecture, and other technical and organizational issues in systems development.

Minitracks:

The Applications of Systems Analysis and Design Models in Less Developing and Developing Countries 
Many organisations everywhere around the globe, including those in developing regions, are intimately involved in developing and implementing their Information Systems (IS) projects. To admiringly develop these IS projects, those organisations have spent lots of funding and time to ensure they are fitted with the latest system design and analysis methods. Nonetheless, the literature is still scarce, with published evidence showing that these companies claim to have successfully used these acquired analysis and design techniques. Consequently, these intricate system analysis and design models endorsed in developed nations may only remain theoretical with limited use. Moreover, many of these system analysis and design techniques had never succeeded in the claimed benefits made when they were acquired, which begs the principal research question of the present deployment state of system analysis and design in these companies, particularly in the less developing and developing regions.

Hadzariah Ismail, Universiti Malaysia Sabah, had@ums.edu.my
Syed Nasirin, Universiti Malaysia Sabah, snasirin@ums.edu.my
Nooralisa Mohd. Tuah, Universiti Malaysia Sabah, alisa.tuah@ums.edu.my
Suraya Miskon, Universiti Teknologi Malaysia, suraya@utm.my

Sustainability and social fairness in context of information system design 
Information technology, and sciences are critical levers of societal transformation to achieve sustainable development. Digital technologies especially can pose a threat to the environment and society, but they can also pave the way out of crises. Thus, information systems (IS) research, which investigates the application of information technology in organizations to support operations, management and decision-making, needs to pay particular attention to achievement of the UN Sustainable Development Goals. However, research and practice on this crucial topic are mainly lacking, especially since the field is experiencing dynamic development. For example, little consideration is given to the needs and the involvement of developing countries or minorities in IS development, or to the energy consumed while producing hardware. There is, furthermore, still a lack of sufficient framework conditions to ensure non-discrimination as early as technology development. Both policymakers and, in particular, companies are responsible here.

Gergana Vladova, University of Potsdam, gergana.vladova@wi.uni-potsdam.de
André Ullrich, Weizenbaum Institute for the Networked Society, andre.ullrich@weizenbaum-institut.de
Bianca Herlo, Berlin University of the Arts, bianca.herlo@udk-berlin.de

Exploring the Phenomenon of Low Code Development Platforms 
From the early start of the IS discipline, practices, organization, and management of IS Development, have been central research areas. New techniques and methods are becoming popular to develop systems as quickly and efficiently as possible, especially with business development goals in mind.

However, in practice, IS development projects continue to fail at a high rate, as measured by delays, time and budget overruns, and the inability to meet expected functionality and quality.

Low code development platforms (LCDPs) may be a solution to overcome these as they allow the quick development and deployment of applications without the need for a programmer.

This minitrack provides a forum for discussing research related to LCDPs based on a phenomenon-driven approach. We seek papers that focus on organizational, group, and individual levels analysis of LCDPs. We invite submissions based on conceptual/theoretical or empirical studies using qualitative, quantitative, or mixed methods.

Edona Elshan, Institute of Information Management, edona.elshan@unisg.ch
Ernestine Dickhaut, University of Kassel, ernestine.dickhaut@uni-kassel.de
Andreas Janson, Institute of Information Management, andreas.janson@unisg.ch
Philipp Ebel, University of St. Gallen, philipp.ebel@unisg.ch

Track Chairs   

Jerry Fjermestad, New Jersey Institute of Technology, jerry@njit.edu
David Eisenberg, New Jersey Institute of Technology, de63@njit.edu

Track Description     

The future of work in a digital world track focuses on advancing the fundamental understanding of digital transformations’ role in the human, societal, and technological dimensions of work. New technologies have augmented the ways businesses create, access, and communicate information resources. These functional attributes have enhanced the current incorporation and future demand of an evolving “new workforce,” which entails a knowledge-intensive focus – the knowledge worker. The future of work track is a multi-disciplinary approach that addresses the human and societal dimensions as well as the technological innovation and the potential impact on future work.

The mere availability of new technologies and existing labor resources does not ensure enhancements in operational strategizing and corresponding efficiencies and innovation. The interactions of workers and technologies introduce vast complexities that involve obstacles that must be identified, understood, and managed. Technological innovations should be integrated with advances in learning, adult learning, workforce training, social, behavioral, and economic science perspectives, i.e. intellectual capital. Potential min-tracks should contribute to fundamental advances in optimizing the human-technology team, the science and technology of future workforce development and education, work environments, and positive work outcomes for workers and society.

Minitracks:

Emerging issues on workforce and collaborations in the digitized/virtual work environments 
Since the COVID-19 pandemic, the concept of the workplace rapidly has been switched from conventional physical premises to online-based digitized work platforms. Technological advances and evolving virtual digital workplaces immediately transform all stakeholders’ requirements – how to work, how to communicate, how to evaluate performance, where to locate, and what to create.

The purpose of the mini-track is to offer a forum to present various research ideas and topics, particularly focusing on 1) behavioral and perceptional issues related to virtual work collaboration in digitized work environments, 2) any emerging technologies (e.g., metaverse) to create new digital workplaces and environments, 3) situational changes such as the inclusion of older and new generation of workforce along with emerging technologies, 4) enablers and/or prohibitors toward innovative business process transformation in a digital workplace, and 5) Security and privacy concerns in digital workplaces. The mini-track welcomes conceptual, qualitative, and quantitative research papers.

Soo Il Shin, Kennesaw State University, sshin12@kennesaw.edu
J.B. (Joo Baek) Kim, The University of Tampa, jkim@ut.edu
Jin Sik Kim, Gary W. Rollins College of Business, The University of Tennessee at Chattanooga, jinsik-kim@utc.edu
Haejung Yun, Ewha Womans University, yunhj@ewha.ac.kr

Preparing Organizations for the Future of Work 
In this mini-track we focus on organizational approaches for managing the future of work. This can include but is not limited to organizational strategies (e.g., capabilities and policies); and practices (e.g., processes, routines, tools, technologies, and architectures).

Topics may include:

  • Leadership capabilities required to sustain new forms of digital work?
  • The capabilities and competencies required by organizations in response to the changing needs of digital workers?
  • How organizations can incorporate new technologies such as virtual reality, AI-supported work, robots, and autonomous agents into their strategies and practices?
  • Technology governance policies and processes required to support new forms of digital work?
  • Employee readiness for sudden and unexpected disruptions to work practices resulting from the forced adoption of new technologies?
  • Privacy and security implications for organizations of new forms of digital work?
  • What platforms and enterprise architectures are required to manage rapid changes in the digital technologies used to support work?

Mary Tate, Victoria University of Wellington, mary.tate@vuw.ac.nz
Yi-Te Chiu, Victoria University of Wellington, yi-te.chiu@vuw.ac.nz
Alexander Richter, Victoria University of Wellington, alex.richter@vuw.ac.nz
Alireza Nili, Queensland University of Technology, a.nili@qut.edu.au

Track Chairs   

Chee-Wee Tan, Copenhagen Business School, ct.digi@cbs.dk
Langtao Chen, Missouri University of Science and Technology, chenla@mst.edu
Tom Meservy, Brigham Young University, tmeservy@byu.edu

Track Description     

The goal of the Virtual Communities and Collaboration track is to disseminate research and extend our knowledge of how collaboration manifests in virtual communities. Following a continuing trend toward globalization and remote or hybrid work arrangements, virtual communities and collaboration are becoming indispensable elements within organizations. Virtual communities constitute groups of individuals who interact and pursue mutual goals within computer-mediated environments. Prevalent across digital spaces ranging from crowd platforms to social media to virtual worlds among others, organizations are leveraging on the collective wisdom of virtual communities to improve business processes and bolster firm performance. Consequently, there is a necessity for researchers and practitioners to address cognitive, behavioral, social, and technical issues in such virtual collaborative environments. Research areas range from design issues in collaborative environments, to sense of community and engagement in virtual communities, to the impact of virtual communities and collaboration in domains as diverse as business, education, and government. The track aims to solicit contributions from a range of ontological and epistemological perspectives to not only deepen our understanding of virtual communities and collaboration but also enhance the theoretical foundation for research, share insightful empirical findings related to these venues, and provide guidance to practitioners.

Minitracks:

Behavioral and Design Issues in Virtual Communities 
A lot of research in the information systems discipline is comprised of two paradigms: the behavioral-science paradigm and the design-science paradigm. In virtual communities or metaverse, humans and organizations utilize technology to maintain relationships and social networks  in order to pursue mutual goals and interests. While the process of constructing and evaluating innovative IT artifacts enables design-science researchers to understand the problem addressed by the artifacts and the feasibility of the approach to the solutions, the behavioral-science researchers evaluate the outcomes and implications of technology use. Behavioral and design science paradigms serve as a complete research cycle in IS research. Therefore, mixed research relating to behavioral and design science can help to increase our understanding of virtual communities. We welcome research addressing behavioral issues, design issues or a mixed stream of both to make theoretical contributions and practical implications in the area of virtual communities.

Xusen Cheng, Renmin University of China, xusen.cheng@ruc.edu.cn
Xiangbin Yan, University of Science and Technology Beijing, xbyan@ustb.edu.cn

Collaboration in Online Communities: Information Processing and Decision Making
Online communities consist of individuals who share a common interest and who use the internet to communicate with each other and work together in pursuit of shared interests. Individuals seek out information online for both utilitarian and hedonic reasons. Online forums are one example of a pervasive platform where individuals can submit and receive answers to questions as well as browse the experiences of others. Individuals with questions often turn to these forums, either directly or indirectly (through search engine results), to find answers to problems they face. While research has begun to address utilitarian and hedonic seeking and consumption of information, there is still much left unknown. This mini-track focuses on research related to understanding information processing and decision making in the context of online communities.

Kelly Fadel, Utah State University, kelly.fadel@usu.edu
Matthew Jensen, University of Oklahoma, mjensen@ou.edu

Diversity, Equality, and Inclusion in Virtual Communities 
Diversity, Equality, and Inclusion (DEI) practices benefit virtual communities by eliminating discrimination and ensuring that participants, regardless of their background, receive the support they need to contribute to the best of their abilities. Through fostering a DEI culture, virtual communities can offer an equal voice to participants with diverse backgrounds. In turn, having an equal voice in virtual communities not only aids in nurturing collective creativity and innovation, but it also serves to retain participants and attract new blood to these communities.

This mini-track acts a forum for the exchange of scholarly ideas and managerial practices on DEI-related issues within virtual communities. It aims to expand our knowledge of the conceptualization and operationalization of DEI in virtual communities as well as how DEI shapes the design of contemporary platform-mediated communities. We are especially interested in research that sheds light on how DEI can be realized in virtual communities.

Yue Cheng, Nanchang University, chengyue@ncu.edu.cn
Dan Ma, Southwestern University of Finance and Economics, madan94@swufe.edu.cn
Hongying Tan, Southwestern University of Finance and Economics, tanhongying@swufe.edu.cn

Value Appropriation and Creation in Virtual Collaborative Environments 
Virtual communities have emerged as a game-changing collaboration paradigm that facilitates interactions among individuals, groups, and organizations in the pursuit of mutual goals. As virtual communities reshape the boundaries and structures of human collaborations, comprehending human behaviors in online environments and deriving design considerations for digital services that optimize collaborative practices is imperative for realizing collaboration in the virtual space.

This mini-track provides a forum for the exchange of research ideas and business practices on the interplay of human behaviors and virtual collaborative environments at the individual, group, organization, and societal levels. It aims to expand our knowledge on how technologies govern and shape human behaviors in virtual communities as well as how such technology-mediated human behaviors, in turn, inform the design of virtual collaborative environments. We are particularly interested in research that sheds light on how digital services contribute to value appropriation and creation in virtual collaborative environments.

Zhao Cai, University of Nottingham Ningbo China, zhao.cai@nottingham.edu.cn
Fangfang Hou, Xi’an Jiaotong-Liverpool University, fangfang.hou@xjtlu.edu.cn
Zhengzhi GUAN, University of Science and Technology of China, zhengzhi.guan@nottingham.edu.cn

Fake News, Rumors and Other Unintended Consequences of Engagement in Virtual Communities
Virtual communities enabled by social media are providing new opportunities for people to engage with each other. Recently, such engagements have been exploited to spread fake news, rumors, biased reporting, or for promoting unsupported viewpoints. Such interactions have the potential to significantly influence the discourse of social, political, moral, or economic debate. It cannot be denied that virtual communities hold a lot of potential for beneficial and positive engagement among the community members but there is a need to examine some of these unintended consequences prevalent in virtual communities.

The objective of this mini-track is to provide a forum for discussion and presentation of original research highlighting some of these unintended consequences and subsequent challenges/or solutions to deal with them. We seek papers that address nature of unintended consequence of engagements in virtual communities from a theoretical, conceptual, or empirical perspective. Both quantitative and qualitative studies are welcome.

Vikas Jain, The University of Tampa, vjain@ut.edu
Vishal Midha, Illinois State University, vmidha@ilstu.edu

Leadership in Virtual Collaborative Environments 
We seek to address important questions arising from emerging developments in virtual communities and collaboration, such as IT self-leadership, emergent, shared, confederate, and transformational leadership. The technology used may range from email, texting, teleconferencing, CMC, artificial intelligence, GSS, social media, crowd-sourcing, and virtual worlds, to name a few. Topics include:

  • Virtual team leadership (emergent, shared, transformational)
  • The future of work and new leadership roles and their effect in collective intelligence
  • Emergent leadership in online communities and discussion boards
  • Team behaviors in virtual and OSS communities
  • Individuals’ IT self-leadership and its effect on collaboration performance, organizational outcomes

Yeliz Eseryel, East Carolina University, eseryelu17@ecu.edu
Jerry Fjermestad, NJIT, jerry.l.fjermestad@njit.edu

Global Issues in Group Decision-Making: Opportunities and Challenges

In the current turbulent/COVID pandemic state everything is becoming virtual. Emerging issues like big data, visual analytics, cyber security, e-health, and m-commerce are giving new meaning to globally distributed decision-making. Coordination among individuals with varying skills distributed locally or across oceans is becoming common. Distributed teams face many challenges which are further compounded in globally distributed teams because of diversity, nationality, and cultural differences. As old issues are resolved, new challenges emerge that require knowledge from multiple disciplines such as information systems, social sciences, international management, leadership, and political science. Given the richness and research potential of this area, it is essential to brainstorm and bring diverse points of view to develop underlying theories and frameworks.

This mini-track will include the following (but are not limited to):

  • e-Collaboration during pandemic, i.e, COVID
  • Supply/Chain collaboration issues
  • Fake news impact on e-Collaboration
  • Disaster management
  • Delivering health services through collaboration

A. K. Aggarwal, University of Baltimore, aaggarwal@ubalt.edu
Doug Vogel, Harbin Institute of Technology, vogel.doug@gmail.com
Yuko Murayama, Tsuda University, murayama@tsuda.ac.jp