TRACK DESCRIPTIONS

Track Chairs

Sabine Matook, The University of Queensland, UQ Business School, Australia, Sabine.matook@business.uq.edu.au

Edgar Whitley, London School of Economics, United Kingdom, e.a.whitley@lse.ac.uk

Safa’a AbuJarour, American University of Sharjah, UAE, sabujarour@aus.edu

Track Description

Technological advances continue to influence the worlds of work and society, with the launch of commercially available large language AI models being the most recent high profile example.

Researchers have begun the important task of examining various constellations between people and digital technologies, particular AI technologies. We have learned many facets (e.g., adoption and use, affordance, dark side of AI) about the collective of humans and technology, but many aspects are still unknown, especially when people are not aware of the influences of the digital and AI technologies exert. Human-AI collaborations give raise to new socio-technical arrangements that demand investigations of the opportunities and challenges they raise.

Repeatedly calls are made for governmental controls and legal oversight to ensure people are ‘put first’ – i.e. that they are not harmed or harassed, and are equally treated. Yet, it takes time until the laws catch up with the digital innovations and evidence from other areas such as online bullying and harassments show that regulations are often slow to be formed and implemented.

To ensure people come first ethical frameworks and guidelines for responsible research conduct have been proposed to guide developers and designers when creating information systems for people to use. Similarly, research needs to explore the challenges and unintended consequences for disadvantaged and marginalized groups through technology, for example exploring how technologies can lift these members of our society to become equal partners. Finally, research is urgently needed to ensure access and use of advanced technologies by people to serve the human enterprise rather than – having the technology control people. For example, the digital literacy of people must be nurtured to protect human agency.

The conference theme track “People First: Constructing Digital Futures Together” invites innovative and stimulating research articles about the duty and promise of placing people first.

 

Topics of Interest

This track will cover a wide range of topics, including but not limited to:

• Digital literacy and capability development for a world with people first
• Ethical and responsible development of platforms, systems, apps, collaboration arrangements
• Human-centered design in tension with digital agency
• Diversity, equity, and inclusion considerations concerning autonomous technologies
• Educational approaches for a future of digital first
• Governance systems and legal frameworks to safeguard the human enterprise

 

Associate Editors

Alta van der Merwe, University of Pretoria, South Africa

Anand Sheombar, University of Applied Sciences Utrecht, The Netherlands

Arman Sadreddin, Concordia University, Canada

Avijit Sengupta, University of Queensland, Australia

Deepa G. Iyer, Cleveland State University, USA

Hannes Schlieter, Technical University Dresden, Germany

Isabella Seeber, Grenoble Ecole de Management, France

Jalal Sarabadani , San Jose State University, USA

Katie Williams, University of Queensland, Australia

Manuel Wiesche, Technical University of Dortmund, Germany

Noel Carroll, University of Galway, Ireland

Osama Mansour, Lund University, Sweden

Rainer Schmidt, München University of Applied Sciences, Germany

Sam Zaza, Middle Tennessee State University, USA

Stefan Smolnik, University of Hagen, Germany

Ulrika Westergren, Umeå University, Sweden

Victoria Reibenspiess, Washington State University, USA

Wafa Bouaynaya, Université de Picardie, France

Track Chairs

Johann Kranz, Ludwig Maximilian University of Munich, kranz@lmu.de

Hanna Krasnova, University of Potsdam, krasnova@uni-potsdam.de

Rickard Lindgren, University of Gothenburg, rikard.lindgren@ait.gu.se

 

Track Description

The General Track is intended for high-quality research papers and short papers on topics that do not have a specific fit with other tracks, including the conference theme track. It aims to attract unique and novel papers and give authors an additional degree of freedom, also from epistemological, ontological, and methodological standpoints.

Please check the detailed descriptions of other tracks before submitting your paper to the General Track to ensure the best possible fit with your submission. After a careful assessment, the General Track co-chairs might move your paper to other tracks.

The General Track is also the track to which chairs of other tracks chairs are welcome to submit papers since they are not allowed to submit to their track.

 

Associate Editors

Anders Hjalmarsson-Jordanius, University of Borås, Sweden

André Ullrich, University of Potsdam, Germany

Aymeric Hemon-Hildgen, ESSCA School of Management, France

Benedict Bender, University of Potsdam, Germany

Björn Johansson, Linköping University, Sweden

Ciara Fitzgerald, University College Cork, Ireland

Daniel Rudmark, Swedish National Road and Transport Research Institute, Sweden

David Sundaram, University of Auckland, New Zealand

Fatemeh Saadatmand, IT University of Copenhagen, Denmark

Fenne große Deters, University of Potsdam, Germany

Ferdinand Thiess, Bern University of Applied Sciences, Switzerland

Gergana Vladova, University of Potsdam, Germany

Hannes-Vincent Krause, University of Potsdam, Germany

Irina Heimbach, WHU – Otto Beisheim School of Management, Germany

Jonny Holmström, Umeå University, Sweden

Katharina Baum, University of Potsdam, Germany

Laura Amo, University at Buffalo, USA

Liwei Chen, University of Cincinnati, USA

Markus Weinmann, University of Cologne, Germany

Olga Abramova, University of Potsdam, Germany

Olgerta Tona, University of Gothenburg, Sweden

Regina Connolly, Dublin City University, Ireland

Rob Gleasure, Copenhagen Business School, Denmark

Sarah Hönigsberg, University of Jyväskylä, Finland

Tawfiq Alashoor, IESE Business School, Spain

Veeresh Thummadi, University of Galway, Ireland

Xiaofeng Wang, University of Bolzano, Italy

Youngsok Bang, Yonsei University, South Korea

Jens Dibbern, University of Bern, Switzerland

Merrill Warkentin, Mississippi State University, USA

Jens Grossklags, Technical University of Munich, Germany

Jan Recker, University of Hamburg, Germany

Humza Naseer, RMIT University, Australia

Sean Maynard, University of Melbourne, Australia

Track Chairs

Spyros Angelopoulos, Durham University Business School, United Kingdom, Spyros.Angelopoulos@durham.ac.uk

Anastasia Griva, University of Galway, Ireland, anastasia.griva@universityofgalway.ie

Ariana Polyviou, Cyprus University of Technology, Cyprus, ariana.polyviou@cut.ac.cy

 

Track Description

Artificial Intelligence (AI) is a technology with an evolving meaning and encompasses a large number of techniques, tools, and digital artifacts. The investigation of AI is timelier than ever before, as its use diffuses throughout a number of areas, ranging from consumer, agriculture, healthcare, and warfare applications, but also in production and the broader field of operations management. Therefore, the track seeks to further explore the potential of AI within and around the Information Systems field and elucidate the management of it practices and processes.

Concurrently, we consider crucial to reflect on the many challenges, implications as well as the unintended consequences stemming out of the use of AI and its applications for organisations and the society at large. In doing so, we welcome conceptual and empirical papers with a focus on AI that make a clear contribution to the literature of Information Systems. We welcome any methodological stance (qualitative, quantitative, and mixed methods) and we particular welcome contrarian as well as critical views.

 

Topics of Interest

Below we list an indicative list of topics:

• Human-AI collaboration
• Challenges and Opportunities for AI adoption
• Ethical implications, unintended consequences, and the dark side of AI
• AI in organizations: decision-making, operations management, etc.
• Swarm and Collective Intelligence for smart applications
• Business Process Management and AI
• AI-driven innovation
• Algorithmic Aversion and Algorithmic Familiarity
• Humanitarian applications of AI
• Sustainability, resilience, and AI
• AI in emergent situations and risk management
• AI for addressing societal challenges
• AI in healthcare
• The future of work in an AI-driven world
• AI for Information Systems Development
• Intelligent Automation versus AI
• Implications of Explainable AI (XAI)

 

Associate Editors

Alvaro Arenas, IE Business School, Spain

Andreas Alexiou, Tilburg University, The Netherlands

Arash Saghafi, Toronto Metropolitan University, Canada

Athina Ioannou, University of Surrey, United Kingdom

Blair Wang, University of Galway, Ireland

Dimitris Papakiriakopoulos, University of West Attica, Greece

Efpraxia Zamani, The University of Sheffield, United Kingdom

Eleni Lioliou, Queen Mary University of London, United Kingdom

Ganna Pogrebna, University of Sydney Business School, Australia

Guoqing Zhao, Swansea University, United Kingdom

Harris Kyriakou, ESSEC Business School, France

Ilias Pappas, University of Agder, Norway

Konstantina Spanaki, Audencia Business School, France

Mahya Ostovar, University of Galway, Ireland

Matti Mäntymäki, University of Turku, Finland

Mihalis Giannakis, Audencia Business School, France

Mylène Struijk, University of Sydney Business School, Australia

Oteng Ntsweng, National University of Singapore, Singapore

Pierangelo Rosati, University of Galway, Ireland

Ransome Bawack, Audencia Business School, France

Savvas Papagiannidis, Newcastle University, United Kingdom

Thanos Papadopoulos, University of Kent, United Kingdom

Stefano Za, Università degli Studi “G. d’Annunzio” of Chieti-Pescara, Italy

Rasmus Ulfsnes, SINTEF Digital, Norway

Astri Barbala, SINTEF Digital, Norway

Dimosthenis Kotsopoulos, Athens University of Economics and Business, Greece

Lorraine Morgan, University of Galway, Ireland

Sofie Wass, University of Agder, Norway

Vasiliki Koniako, Athens University of Economics and Business, Greece

Cleopatra Bardaki, Harokopio University, Greece

Umair ul Hassan, University of Galway, Ireland

Track Chairs

Ann-Kristin Cordes, Kiel University, Germany, akc@informatik.uni-kiel.de

Matthias Söllner, University of Kassel, Germany, soellner@uni-kassel.de

Triparna de Vreede, University of South Florida, USA, tdevreede@usf.edu

 

Track Description

Organizations and society are experiencing a transformative shift, giving rise to a more digitalized landscape. In the recent years, Artificial Intelligence (AI) is gaining significant momentum across various work and life settings, including automation, data analytics, digital companionship, and forecasting. Various AI methods and tools are employed to derive insights from data, which are then used to bolster and propel digitalization within workspaces and contribute to a sustainable digital future. If this trajectory is held, organizations and societies of the future will be a hybrid synergy of human-AI intelligence.

While it is still difficult to precisely determine the exact global influence of AI on our societies, the impact is already evident at the organizational, technological, and behavioral levels. Along with the transformational benefits, we also see the slivers of the dark side of AI and its unintended negative consequences if not planned, designed, and managed in a strategic and visionary fashion. Therefore, it is crucial to engage in research that evaluates the potential and impact of the evolving nature of AI on the future societies and organizations.

Inquiry into this discipline highlights several questions, such as: How can organizations effectively manage AI? What are the technological prerequisites for AI implementation within organizations? In what ways does AI alter organizational processes? How can employee resistance to change be mitigated? How can transparent and ethical AI be designed? How can AI support digital upskilling and learning within organizations? How can AI contribute to an environmentally responsible organizations and societies? How can generative AI be ethically and responsibly incorporated into the society?

Overall, this track tackles the critical questions surrounding AI’s influence on the organizations and societies digital age.

In this track, we welcome conceptual, empirical, and design-oriented papers that analyze, explain or predict implications of AI on the organizations and societies of the future, or that design AI-based solutions in the context of digital and sustainable societies and workplaces.

 

Topics of Interest

Topics of interest include, but are not limited to:

• AI-enabled transformation of organizational processes
• Interaction, collaboration, and communication in the AI-enabled society
• Impact of AI on sustainable organizations
• Implications of AI on justice, diversity, equity, and inclusion in organizations and societies
• Resistance to AI-driven change
• Ethics, bias, and legal aspects in organizations
• Responsible AI, and explainable AI in organizations and societies
• Digital upskilling of the workforce due to or enabled by AI
• AI-enabled change and learning processes in organizations
• New ways of living and working driven by AI
• AI-enabled digital detox
• AI for well-being
• Impact of generative AI and large language models on organizations and societies
• Human-AI collaboration in organizations

 

Associate Editors

Benedikt Berger, University of Münster, Germany

Benjamin van Giffen, University of St. Gallen, Switzerland

Bjoern Ross, University of Edinburgh, United Kingdom

Denny Yin, University of South Florida, USA

Florian Bühler, Vorarlberg University of Applied Sciences, Austria

Jocelyn Cranefield, Victoria University of Wellington, New Zealand

Johannes Kriebel, University of Muenster, Germany

Karoline Glaser, Technical University of Dresden, Germany

Katharina Ebner, University of Hagen, Germany

Lea Püchel, University of Muenster, Germany

Maike Greve, University of Göttingen, Germany

Matthias Kraus, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Mike Preuss, Leiden University, Netherlands

Milad Mirbabaie, University of Bamberg, Germany

Peter André Busch, University of Agder, Norway

Rehan Syed, Queensland University of Technology, Australia

Scott Thiebes, Karlsruhe Institute of Technology, Germany

Sebastian Lins, Karlsruhe Institute of Technology, Germany

Steffen Finck, Vorarlberg University of Applied Sciences, Austria

Vivek Singh, University of Missouri—St. Louis, USA

Xusen Cheng, Renmin University of China, China

Shixuan Fu, University of science and technology Beijing, China

Muhammed-Fatih Kaya, University of Hohenheim, Germany

Track Chairs

Bastian Wurm, LMU Munich School of Management, Germany, bastian.wurm@lmu.de

Alexander Benlian, Technical University of Darmstadt, Germany, benlian@ise.tu-darmstadt.de

Monideepa Tarafdar, University of Massachusetts Amherst, USA, mtarafdar@isenberg.umass.edu

 

Track Description

Digital technologies are rapidly changing the way we organize and perform work. Algorithms are increasingly augmenting or automating all types of work; not only can they act as supervisors or co-workers to their human counterparts (Tarafdar et al. 2023), but they also regularly coordinate and control how work is done (Möhlmann et al. 2021; Kellogg et al. 2020). Algorithmic decision-making and management can offer substantial benefits for organizations, as it allows to scale business models by coordinating huge numbers of employees and automating managerial decision-making (Benlian et al. 2022). Yet, algorithmic work has serious dark sides wherein workers can suffer from low well-being as a consequence of lack of autonomy (Wiener, Cram and Benlian, 2021) and technostress (Cram et al. 2022). In response, employees have started to engage in what has been referred to as algoactivism; that is, individual and collective tactics to influence, game, or ‘fight back’ against algorithms (Kellogg et al. 2020; Jiang et al. 2021). More generally, this calls us to question the way that current work systems are designed and how we can make them fairer (Gal et al. 2020; Spiekermann et al. 2022).

Novel technologies, such as blockchain, virtual reality and AI, are also fundamentally transforming how organizations allocate and coordinate work. This has led to new forms of organizing (Puranam et al. 2014) and has influenced individual work practices considerably. Freelancing and crowd work allow workers to perform tasks more flexibly, leading to globally distributed teams and entirely new work arrangements, such as digital nomadism (Wang et al. 2020). To remain employable, let alone thrive and prosper, workers will need to adapt their skill sets and careers to leverage the capabilities of these new technologies. As the new generation of digital natives reimagines the future of work, definitions of work and employment are changing at the same time.

For this track, we encourage submissions that address the various facets of the future of work, such as algorithmic management and new forms of organizing, and how they play out on individual, organizational, and societal levels. Submissions are encouraged from all theoretical and methodological perspectives drawing from IS, management, and related disciplines.

 

Topics of Interest

Topics relevant to the track include, but are not limited to:

• Algorithmic management and control
• Algoactivism
• Automation and augmentation of work
• HR/People analytics
• Digitally-enabled new forms of organizing
• Self-organization in decentralized autonomous organizations
• Virtual, mobile and nomadic work across boundaries
• Collaboration with bots and algorithms
• Meaning of work in digital workplaces
• Accountability and fairness of algorithmic work
• Crowd work arrangements and practices
• Digital competencies

 

Associate Editors

Alec Cram, University of Waterloo, Canada

Assia Lasfer, Université Laval, Canada

Bart van den Hooff, Vrije Universiteit Amsterdam, the Netherlands

Daniel Schlagwein, The University of Sydney

Ekaterina Jussupow, University of Mannheim, Germany

Jeroen Meijerink, University of Twente

Joseph Taylor, California State University, Sacramento, USA

João Baptista, Lancaster University

Lior Zalmanson, Tel Aviv University, Israel

Lisa Marie Giermindl, Ostschweizer Fachhochschule, Switzerland

Long Nguyen, Washington State University, USA

Mareike Möhlmann, Bentley University, USA

Mari-Klara Stein, Tallinn University of Technology, Estonia

Martin Adam, Technical University of Darmstadt, Germany

Martin Wiener, Technical University of Dresden, Germany

Niki Panteli, Lancaster University Management School, UK

Nura Jabagi, Université Laval, Canada

Silvia Masiero, University of Oslo, Norway

Ulrich Remus, University of Innsbruck, Austria

Xavier Parent-Rocheleau, HEC Montreal, Canada

 

References

Benlian, A., Wiener, M., Cram, W. A., Krasnov a, H., Matenche, A., Möhlmann, M., … & Remus, U. (2022). Algorithmic Management: Bright and Dark Sides, Practical Implications, and Research Opportunities. Business & Information Systems Engineering, 64(6), 825-839.

Cram, W. A., Wiener, M., Tarafdar, M., & Benlian, A. (2022). Examining the impact of algorithmic control on Uber drivers’ technostress. Journal of Management Information Systems, 39(2), 426-453.

Gal, U., Jensen, T. B., & Stein, M. K. (2020). Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics. Information and Organization, 30(2), 100301.

Jiang, J., Adam, M., & Benlian, A. (2021). Algoactivistic Practices in Ridesharing-A Topic Modeling & Grounded Theory Approach. Twenty-Ninth European Conference on Information Systems (ECIS 2021).

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366-410.

Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. W. (2021). Algorithmic Management of Work in Online Labor Platforms: When Matching meets Control. MIS Quarterly, 45(4), 1999-2022.

Puranam, P., Alexy, O., & Reitzig, M. (2014). What’s “new” about new forms of organizing?. Academy of Management Review, 39(2), 162-180.

Spiekermann, S., H. Krasnova, O. Hinz, A. Baumann, A. Benlian, H. Gimpel, … M. Trenz. (2022). Values and Ethics in Information Systems: A State-of-the-Art Analysis and Avenues for Future Research. Business and Information Systems Engineering, 64(2), 247–264.

Tarafdar, M., Page, X., Marabelli, M. (2023) Algorithms as Co-workers: Human-Algorithm Role Interactions in Algorithmic Work, Information Systems Journal, 33(2), 232-267.

Wang, B., Schlagwein, D., Cecez-Kecmanovic, D., & Cahalane, M. C. (2020). Beyond the factory paradigm: Digital nomadism and the digital future (s) of knowledge work post-COVID-19. Journal of the Association for Information Systems, 21(6), 10.

Wiener, M., Cram, W., & Benlian, A. (2021). Algorithmic control and gig workers: a legitimacy perspective of Uber drivers. European Journal of Information Systems, 32(3), 485–507.

Track Chairs

Dina Koutsikouri, University of Gothenburg, Sweden, dina.koutsikouri@ait.gu.se

Lauren Waardenburg, ESSEC Business School, France, waardenburg@essec.edu

Lena Hylving, University of Oslo, Norway, lenaandr@ifi.uio.no

 

Track Description

Artificial Intelligence (AI) is increasingly impacting many aspects of life and work, evoking both hopes and fears. One of the challenges with AI systems is that, while some are superior in some respects to human intelligence, such as visuospatial processing speed and pattern recognition, they lag in terms of reasoning, learning new skills, creativity, empathy, and practical wisdom. In response, scholars have increasingly shifted their focus from the threat of automation to the potential for human-machine collaboration or augmentation with the aim to keep the ‘human in the loop’ and to develop ‘responsible AI’.

As intelligent technologies rapidly advance and become more ubiquitous, we need to explore these new dimensions of human-machine configurations. In addition, to thoroughly understand how humans can collaborate successfully with increasingly intelligent systems we need rich concepts and theories at our disposal. The emergence of new terms and categories is essential in this regard. An illustrative example is the difference between the concepts of digitization and digitalization. While digitization refers to the conversion of physical information to digital formats, digitalization reflects the socio-technical process by which digital technology is leveraged to achieve digital transformation. Similarly, the ontology for digital technology is based on engineering rationality with rigid categories which are possible to measure and predict. What is thus still missing in relation to AI is a rich conceptual foundation according to which it is possible to explain and fruitfully discuss the complexity of the digital (i.e., the AI artefact) and ‘what it means to be human’ or even ‘what it is to be a human’ and whether this human-machine distinction is even relevant when theorizing AI.

Our motivation for this track is to shine new light on the challenges and opportunities posed by the increasing complexity in the practice and context of organizing for and developing human-AI collaboration. Specifically, we encourage papers that explore the relationship between the human and the digital, and how human and machine collaboration are developed and implemented in organizations. Such understanding is needed to empirically investigate the potential and unintended consequences of implementing and using AI in organizations as well as generating novel perspectives on understanding and theorizing the human and the digital.

 

Topics of Interest

This track invites papers on topics including, but not limited to:

• Empirical studies of un/intended consequences of ‘human-in-the-loop’ configuration
• Integration of AI developers’ domain knowledge when developing AI systems
• Reasoning and planning with humans and machines in the loop
• Studies of fairness and ethical decision-making in AI development
• Empirical cases that demonstrate how human intelligence (e.g., interpersonal skills and judgment) can improve AI systems, and vice versa.
• Empirical studies of how the use of AI affect decision-making in various work contexts (e.g., extreme environments such as emergency services, military)?
• How is AI altering the nature of work, including how people make judgements, make decisions, and create knowledge?
• Management of AI systems for a better society (beyond economic imperatives such as sustainability and safety, realizing social benefits and possibilities for AI) / Possibilities to craft Human-AI configurations to serve humanity
• What are the preconditions for scaling human-AI collaboration?
• Conceptual/theoretical frameworks for studying human collaboration with artificial agents and intelligent systems / New dimensions of human-machine collaboration
• AI-driven work augmentation
• Role of judgment in human-AI work/decision-making
• Critical perspectives on human-AI interactions
• Design principles for digital practices integrating human and artificial intelligence

 

Associate Editors

Angelos Kostis, University of Umeå, Sweden

Anne Sophie Mayer, Vrije Universiteit Amsterdam, Netherlands

Attila Márton, Copenhagen Business School, Denmark

Bendik Bygstad, University of Oslo, Norway

Charlotta Kronblad, Stockholm School of Economics, Sweden

Charlotte Arghavan Shahlaei, School of Information Technology, Halmstad University, Sweden

Christine Abdalla Mikhaeil, IÉSEG School of Management, France

Cristina Alaimo, LUISS Guido Carli, Italy

Domenico di Prisco, LUISS Guido Carli

Gustaf Juell-Skielse, University of Borås, Sweden

Imran Kahn, University of Gothenburg, Sweden

Johannes Dahlke, Twente University, Netherlands

Leif Sundberg, Umeå University, Sweden

Lu Cau, University West, Sweden

Marigo Raftopoulos, Tampere University, Finland

Marta Stelmaszak Rosa, Portland State University, USA

Prins Marcus Valiant Lantz, Roskilde University, Denmark

Raissa Pershina, University of Oslo, Norway

Samuli Laato, Tampere University, Finland

Simon Larsson, School of Business Economics and Law, Gothenburg University, Sweden

Tomislav Karačić, Vrije Universiteit, Amsterdam, Netherlands

Carolina Salge, University of Georgia, USA

Arno de Caigny, IESEG School of Management, France

Swen Gaudl, Gothenburg University, Sweden

Marisa Ponti, University of Gothenburg, Sweden

Track Chairs

Patrick Zschech, Leipzig University, Germany, patrick.zschech@uni-leipzig.de

Barbara Dinter, Chemnitz University of Technology, Germany,
barbara.dinter@wirtschaft.tu-chemnitz.de

Patrick Mikalef, Norwegian University of Science and Technology, Norway, patrick.mikalef@ntnu.no

 

Track Description

In today’s digital world, data is generated at an unprecedented rate, creating a need for organizations to use business analytics (BA) and big data to gain insights into their operations, stakeholders, and dynamic environments. Generally speaking, BA summarizes all methods, processes, technologies, applications, skills, and organizational structures necessary to analyze past or current data to manage and plan business performance. It is inherently forward-looking and centers its analyses on diagnostics, prediction, and prescription tasks. Big data is a natural companion as only large and possibly rich datasets enable comprehensive decision models to assist these tasks. The rise of big data over the past few years has naturally created ample opportunities to generate important insights, gain a competitive advantage, and foster the digital transformation of societies and organizations.

While these technological advancements offer significant benefits, it is essential to recognize that people are the primary stakeholders of the human enterprise. As such, it’s critical to take a human-centered approach to analytics and big data, ensuring that data is used to benefit people and society as a whole. Thus, organizations have a responsibility to ensure that their use of data is ethical and respects the rights and dignity of individuals. This includes protecting the privacy and security of personal data, being transparent about how data is used, and avoiding discriminatory practices that may perpetuate existing social inequalities. Furthermore, organizations must recognize the limitations of data and analytics, which can only provide insights based on the information available. As such, it’s important to complement data-driven decision-making with human judgment and critical thinking.

In this context, human-machine co-creation emerges as a critical factor as it recognizes the unique strengths of both human and machine actors and leverages them to create more accurate and meaningful insights. Human experts provide contextual knowledge, intuition, and creativity, while machines process and analyze vast amounts of data more quickly and efficiently. By working together, they can uncover patterns and insights that may be difficult to detect using traditional methods.

This track aims to promote multi- and interdisciplinary contributions dealing with organizational, technological, cultural, ethical, and societal perspectives and challenges of BA and big data. We welcome submissions based on quantitative and qualitative work as well as theoretical, design, action, or behavioral research. Following the theme of the conference, we encourage papers with special emphasis on human-centered approaches and the role of collaboration in promoting an equitable and prosperous society. Papers solely dealing with AI and machine learning are not the focus of this track.

 

Topics of Interest

Suggested topics include, but are not limited to:

• The role of business intelligence, BA, and big data for human-centered digital futures
• Human-machine collaboration and co-creation in BA
• BA for human dignity, social good, societal empowerment and digital responsibility
• Data humanism, data harm, and societal implications of datafication
• Data privacy, data quality, and data governance
• Data-driven business model innovation, data entrepreneurship, and the digital ecosystem big data
• Adoption, routinization, maturity, use, and innovative applications of BA and big data
• Business value and monetizing of BA and big data
• Opportunities and challenges of sharing data and open data
• Operational, real-time, or event-driven business analytics
• Fair and trustworthy artificial intelligence
• Explainable artificial intelligence and interpretable machine learning
• Process mining and robotic process automation
• Visual analytics to address organizational and/or societal challenges

 

Associate Editors

Adir Even, Ben-Gurion University of the Negev, Israel

Aijun Zhang, Wells Fargo, USA

Alexander Mädche, Karlsruhe Institute of Technology, Germany

Amit Deokar, University of Massachusetts Lowell, USA

Arisa Shollo, Copenhagen Business School, Denmark

Arpan Kar, Indian Institute of Technology Delhi, India

Biljana Mileva Boshkoska, Jožef Stefan Institute, Ljubljana, Slovenia

Caddie Gao, Monash University, Australia

Christian Janiesch, TU Dortmund University, Germany

Christoph Flath, University of Würzburg, Germany

Cristina Trocin, Católica Porto Business School, Portugal

Ciara Heavin, University College Cork, Ireland

Dimitri Petrik, University of Stuttgart, Germany

Elisabetta Raguseo, Polytechnic of Torino, Italy

Greg Richards, University of Ottawa, Canada

Gunther Gust, University of Würzburg, Germany

Henning Baars, University of Stuttgart, Germany

Imad Bani Hani, Halmstad University, Sweden

Ivo Blohm, University of St. Gallen, Switzerland

Jessica Braojos, IQS School of Management, Spain

John Krogstie, Norwegian University of Science and Technology, Norway

Jonathan Foster, Sheffield University, United Kingdom

Kai Heinrich, University of Magdeburg, Germany

Konstantin Hopf, Bamberg University, Germany

Konstantina Valogianni, IE Business School, Spain

Laura Ruiz, University of Granada, Spain

Manjul Gupta, Florida International University, USA

Maria Boura, Athens University of Economics and Business, Greece

Najmul Islam, Lappeenranta-Lahti University of Technology, Finland

Natalia Kliewer, Freie Universität Berlin, Germany

Niklas Kühl, University of Bayreuth, Germany

Nuno Laranjeiro, University of Coimbra, Portugal

Oliver Müller, University of Paderborn, Germany

Olivera Marjanovic, University of Technology Sydney, Australia

Patrick Delfmann, University of Koblenz, Germany

Ramesh Sharda, University of Oklahoma, USA

Rameshwar Dubey, Liverpool John Moores University, United Kingdom

Remko Helms, Open Universitat, Netherlands

Rogier van de Wetering, Open Universitat, Netherlands

Simon Woodworth, University College Cork, Ireland

Stephan Aier, University of St. Gallen, Switzerland

Sule Balkan, Ameriprise Information Management, USA

Sven Weinzierl, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Thomas Setzer, Catholic University of Eichstätt-Ingolstadt, Germany

Tobias Brandt, University of Münster, Germany

Willam Yeoh, Deakin University, Australia

Carolina Salge, University of Georgia, USA

Sandra Zilker, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Track Chairs

Thomas Grisold, University of St. Gallen, Switzerland, thomas.grisold@unisg.ch

Amy Van Looy, Ghent University, Belgium, Amy.VanLooy@UGent.be

Anna Maria Oberländer, University of Bayreuth, Germany, anna.oberlaender@fim-rc.de

 

Track Description

The aim of this track is to explore digital innovation processes and digital process innovation joining the forces of business process management (BPM) and digital innovation (DI) research. On the one hand, business process managers, designers, and participants are facing the emergent–and often unpredictable–opportunities and challenges related to digital technologies. The rapid uptake of fast maturing digital technologies and infrastructures, such as mobile, social, cognitive, and cloud computing have significant, but still poorly understood implications for the design, automation and overall management of business and innovation processes, which enhance customer value. On the other hand, digital innovation blurs the boundaries between process and outcome implying new logics of BPM. While the majority of the academic body of BPM and DI knowledge treats these domains  as separate fields of study, our interest lies in exploring the dynamic relationship between BPM and DI and their potential to create new forms of value for organizations and customers alike.

This track invites contributions that explore the relationship between business process management and digital innovation. In particular, we are interested in how business process management can foster digital innovation processes and outcomes, and in turn, how digital innovation changes the way we think about the design and management of business process work. We are also interested in how digital technologies, such as artificial intelligence, blockchain, process mining, robotic process automation or the Internet of Things, affect exploitative and explorative BPM activities. We are looking for studies that explore how organizations deal with the increasing availability of data to analyse, improve or prototype business processes that create new forms of customer value. Furthermore, we are keen to see studies that addresses the critical ‘human-centric’ aspects (such as governance, capability building, adoption success etc.) in the interplay of BPM and DI.

We invite conceptual and empirical studies that provide a description, explanation, or prediction of the consequences of digital innovation on contemporary business process work or the effects of business process management on digital innovation processes or outcomes. We encourage interdisciplinary research integrating theories, methods and findings from other fields, such as organizational and management sciences.

 

Topics of Interest

Topics of interest related to the intersection of BPM and digital innovation include, but are not limited to:

• How the digital age, in particular digital innovation, challenges our established assumptions about business process work and management
• The role of humans in business process management contexts, for example, with respect to adopting new digital technologies
• Agile process designs for highly uncertain business environments
• Designing and managing business processes in ways that enhance efficiency but also allow for the integration of emerging revenue opportunities
• Emergent digital technologies for supporting digital innovation processes or activities in the context of business process management
• Explorative BPM by means of new digital technologies
• Rethinking the notion of a business process in the context of digital platforms and ecosystems
• Designing (innovation) processes to support innovation and entrepreneurial activities
• The socio-technical facets that need to be considered for the success of digital innovation in the context of BPM
• Assessing and steering digital innovation processes and digital process innovation
• Fostering an interdisciplinary dialogue among adjacent research domains to better understand the implications of digital innovation, e.g., organizational studies and management science

 

Topics of interest related to broader implications for BPM include, but are not limited to:

• How do process designers, managers, and participants react to and interact with DI?
• Digital technologies supporting resilience of business process work
• Ambidextrous BPM
• BPM for enabling adaptive changes in response to unexpected events, such as a global crisis
• Using various types of big data to analyze, improve and prototype business processes
• AI based change of designing business processes and routines
• Methods to guide robotic process automation
• Innovative, validated approaches in the area of process mining and process analytics
• Implications of the Internet of Things for process design, monitoring and/or management
• Using blockchain in business process coordination
• (Re-)designing human-centric elements to maximize BPM success in the digital age

 

Submissions on other BPM-related topics are also welcome.

 

Associate Editors

Adelia Del Rio Ortega, Universidad de Sevilla, Spain

Brian Pentland, Michigan University, USA

Christian Mahringer, University of Stuttgart, Germany

Daniel Beimborn, University of Bamberg, Germany

Gregor Polancic, University of Maribor, Slovenia

Henrik Leopold, Kühne Logistics University, Germany

Inge van de Weerd, Utrecht University, Netherlands

Irene Vanderfeesten, KU Leuven, Belgium

Iris Beerepoot, Utrecht University, Netherlands

Jan Mendling, Humboldt Universität, Germany

Jan vom Brocke, University of Münster, Germany

Jennifer Haase, Humboldt Universität, Germany

Katharina Drechsler, University of Cologne, Germany

Luise Pufahl, Technical University of Munich, Germany

Maximilian Röglinger, University of Bayreuth, Germany

Michael Rosemann, Queensland University of Technology, Australia

Mojca Stemberger, University of Ljubljana, Slovenia

Niels Martin, University of Hasselt, Belgium

Ralf Plattfaut, University of Duisburg-Essen, Germany

Waldemar Kremser, Johannes Kepler University, Germany

Julian Lehmann, Arizona State University, USA

Track Chairs

Jeannette Stark, Technical University of Dresden, Germany, Jeannette.stark@tu-dresden.de

Annamina Rieder, Simon Fraser University, Canada, annamina_rieder@sfu.ca

Greta L. Polites, Kent State University, USA, gpolites@kent.edu

 

Track Description

More than ever, new personalized information systems emerge and unite people, enterprises, and societies. These information systems bring many advantages but are also associated with adverse effects. Being overwhelmed with information and requests to adapt to new technologies often impedes focusing on relevant information and may even lead to attention deficit. This may be worsened by multitasking on various devices and constantly interacting with a smartphone. Thus, information systems need to highlight the role of people as the primary stakeholder and integrate cognitive and emotional aspects to prepare the individual to use these systems efficiently.

We invite contributions on the design and use of information systems that reflect cognitive implications, requirements, and consequences for information systems users. Cognitive considerations in guiding or “nudging” users’ choices become relevant, e.g., encouraging people to behave in a socially and environmentally responsible fashion or adopt a healthier lifestyle. Furthermore, contributions are invited that provide an understanding of how digital technology shapes human cognition and emotion and investigate how users interact with technology. We welcome novel qualitative and quantitative empirical insights and conceptual research that contributes to theory development and offers directions for future research. We encourage research grounded in reference disciplines such as cognitive psychology, human-computer interaction, or neuroscience.

 

Topics of Interest

Topics of interest include for example:

• effects of digital technologies on human behavior
• shaping cognition, emotion, and behavior through emergent technology (e.g., virtual reality, augmented reality, persuasive system design)
• user interaction with algorithms, algorithm aversion, and algorithm appreciation
• cognitive biases and heuristics in the context of novel digital technologies
• differences in user behavior and cognitive processes when using different devices (smartphones, PCs, tablets), smartphones as our “extended mind”
• online persuasion and deception (e.g., fake news, fake reviews, e-commerce strategies)
• design of information systems for digital nudging in various domains (e.g., online shopping, online donations, privacy settings, crowdsourcing and funding, energy consumption, and choice of healthy products)
• cognitive mechanisms underlying persuasive system design
• neuroIS studies on information systems design and use (i.e., neurocognition, neurophysiology, eye tracking)
• cognitive overload and technostress caused by interruptions and consumption of information through digital devices
• fostering creativity in digital settings
• evaluation of user experience and user attitudes toward innovative interaction designs
• cognitive requirements and consequences of human-centric design of information systems

 

Associate Editors

Alexander Chung, FAS Ulaval, Canada

Alexander Kupfer, University of Innsbruck, Austria

Alireza Nili, Queensland University of Technology, Australia

Alper Beser, TU Dortmund University, Germany

Bernhard Lutz, University of Freiburg, Germany

CK Kaligotla, Simon Fraser University, Canada

Christian Leyh, THM Business School, Germany

Constantin Houy, Saarland University, Germany

Dominik Siemon, LUT University, Finland

Eric Walden, Texas Tech University, USA

Jason Burton, Copenhagen Business School, Denmark

Jella Pfeiffer, University of Gießen, Germany

Jie Mein Goh, SFU Beedi School of Business, Canada

Jim Burleson, Orfalea College of Business, California Polytechnic State University, USA

Kamel Rouibah, Kuwait University, Kuwait

Maria Madlberger, Webster University, USA

Maria Neubauer, Technical University of Dresden, Germany

Michael Knierim, Karlsruhe Institute of Technology (KIT), Germany

Navid Tavanapour, University of Hamburg, Germany

Rajendra K. Bandi, Indian Institute of Management, India

René Riedl, University of Applied Sciences Upper Austria, Austria & Johannes Kepler University Linz, Austria

Roozmehr Safi, University of Missouri, USA

Saman Bina, Baylor University, USA

Saurav Chakraborty, University of Louisville, USA

Sofi Sherman, The Academic College of Tel-Aviv-Yaffo, Israel

Stefan Greulich, Technical University of Dresden, Germany

Stephan Schlögl, MCI – the Entrepreneurial School, Switzerland

Sybren De Kinderen, Eindhoven University of Technology, Netherlands

Torsten Eymann, Fraunhofer FIT Bayreuth, Germany

Zachary Sheffler, University of Massachussetts Amherst, USA

Track Chairs

Christine Legner, University of Lausanne, Switzerland, christine.legner@unil.ch

Boris Otto, TU Dortmund University, Germany, boris.otto@tu-dortmund.de

Cinzia Cappiello, Politecnico di Milano, Italy, cinzia.cappiello@polimi.it

 

Track Description

Data-driven innovation is less and less created by one single organization or along the traditional value chain, but rather takes place in ecosystems that comprise a variety of actors (among them public institutions, enterprises, and individuals). In these ecosystems, data needs to be exchanged and shared in a secure and reliable way. This brings about important questions regarding governance, quality, security, and the value of data, relevant aspects in the design, emergence, and adoption of platforms for data sharing.

To promote data-driven innovation in ecosystems, the EU and its member states have put emphasis on data sharing and the creation of data spaces and platforms. However, there are only a few academic contributions that explore how data should be properly and effectively represented and managed in such scenarios. Moreover, research on data-related topics is typically carried out by scholars with different disciplinary perspectives, such as AI and data science, management, or database systems. To provide a common ground and further develop this field of research, this track brings together academics and practitioners working on the different aspects related to data management and sharing in ecosystems.

This track acknowledges the fact that, in order to share data, organizations must provide a proper description of their data and define what data they share, for which purpose and with whom. They should provide provenance details and ensure high quality of their data anyway, whether they share data in ecosystems or just use data internally. This means that data ecosystems should not be designed only to share data, but also to assess and guarantee the quality and reliability of the shared datasets.

 

Topics of Interest

This track invites contributions on topics related to data management and sharing in ecosystems, including but not limited to the following:

• Data sharing and multilateral forms of data management
• Data sharing for data-driven innovation in ecosystems
• Data collaboratives and data cooperatives
• Governance of data platforms and ecosystem
• Data quality definition, assessment, and improvement
• Data privacy, security, and sovereignty in ecosystems
• Data economics and data accounting
• Incentive systems for data sharing
• Data quality and the value of data
• Data value chains within and across organizations
• Data spaces, data platforms and other data sharing infrastructures
• Distributed data architectures in business networks and ecosystems

 

Associate Editors

Barbara Krumay, Johannes Kepler University Linz, Austria

Barbara Pernici, Politecnico di Milano, Italy

Elena Parmiggiani, University of Science and Technology (NTNU), Norway

Elizabeth Teracino, University of Lausanne, Switzerland

Felix Naumann, Hasso-Plattner-Institute, Germany

Frederik Möller, TU Braunschweig, Germany

Gero Strobel, Universität Duisburg-Essen, Germany

Ismael Caballero, University of Castilla-La Mancha, Spain

Kristin Weber, Technical University Würzburg-Schweinfurt (THWS), Germany

Marius Mikalsen, University of Science and Technology (NTNU), Norway

Mark de Reuver, Delft University of Technology, Netherlands

Markus Helfert, Maynooth University, Ireland

Martin Gersch, Freie Universität Berlin, Germany

Mathias Klier, University of Ulm, Germany

Mattia Salnitri, Politecnico di Milano, Italy

Olivia Benfeldt, Copenhagen Business School, Denmark

Thorsten Schoormann, University of Hildesheim, Germany

 

Track Chairs

Christoph Peters, University of St. Gallen, Switzerland & University of Leipzig, Germany, Christoph.Peters@unisg.ch

Christoph Breidbach, The University of Queensland, Australia, c.breidbach@business.uq.edu.au

Lia Patricio, University of Porto, Portugal, lpatric@fe.up.pt

 

Track Description

Services are fundamental on an individual, team, organizational, and societal level and are prevalent in a plethora of different forms serving varying functions: human-centered services, digital services, data-driven, hybrid intelligence services, and many more. Typically, they are provided as part of service systems comprising a multitude of human stakeholders as well as newly emerging technologies and corresponding capabilities. Current service-related research topics in Information Systems (IS) include the role of AI (e.g., chatbots like ChatGPT) in diverse service scenarios, data-based value co-creation in platform ecosystems, and how digital technology applied in service provision and management can facilitate sustainability, diversity, common good, social responsibility.

This track aims to integrate research perspectives from service science and IS and we invite scholars to submit their work at the intersection of digital technology and service. We are interested in work anchored in any research paradigm and methodology that uncovers how value that benefits people is co-created among human and machine actors and can ultimately lead to higher levels of economic, ecologic, or social sustainability. This can be achieved through any research topic relating to the role that digital technology play in service co-creation, including how service systems can be enabled by AI, IoT technologies, and digital platforms. We posit that a deeper understanding of how to design, implement, and manage digital technology in service systems is essential to realizing a better, more sustainable future world for humans.

We explicitly welcome research that puts the role of humans in digital service ecosystems centre-stage, and address service science principles such as co-creation and a sociotechnical system’s perspective. This way, service researchers within the IS discipline can contribute to constructing our digital future in terms of a global and digitally connected human-centred service society. This track invites submissions that report current and relevant research results on services and service innovations as well as service engineering and service systems engineering. The context of service is not restricted for this track and can range from personal services to fully automated services and types of hybrid services.

We call for relevant and rigorous research that reaches beyond traditional disciplinary boundaries. The interdisciplinary nature of Service Science supports diversity of research paradigms. We invite qualitative and quantitative empirical as well as design-oriented papers. Conceptual or theoretical contributions that serve to better understand all kinds of services and service systems are also welcome.

 

Topics of Interest

Potential topics include, but are not limited to:

• Sustainable, inclusive, and empowering human-centered services and service systems
• AI-, BI-, hybrid intelligence-, and analytics-based service systems
• Human-centered service design and provision
• Sustainable, inclusive, and empowering service and service systems
• Digital Public Servitization
• Platform-based services, markets, networks, and ecosystems
• Value co-creation at an individual, team, organizational, or societal level
• Engineering and modelling of services and service systems
• Service modularization and modular service structures
• Sociotechnical design of work and service systems
• Digital innovation in services and service systems
• The role and integration of humans and technology in future service systems
• Services in the Metaverse and AR/VR/MR environments
• Data-driven and digital services and service business models
• Conversational agents, service robots and artificial intelligence in service provision
• Service process management

 

Associate Editors

Carina Benz, Karlsruhe Institute of Technology (KIT)

Christian Bartelheimer, Paderborn University, Germany

Christian Kurtz, University of Hamburg, Germany

Christoph Peters, University of St. Gallen, Switzerland and University of Kassel, Germany

Gerhard Satzger, Karlsruhe Institute of Technology, Germany

Jens Pöppelbuß, Ruhr-University Bochum, Germany

Jorge Grenha Terxeira, University of Porto, Portugal

Karim Sidaoui, Radboud University, The Netherlands

Lorena Blasco-Arcas, ESCP Business School, Madrid Campus

Mahei Li, University of Kassel, Germany

Martin Semmann, University of Hamburg, Germany

Maximilian Schreieck, University of Innsbruck, Austria

Mohamed Zaki, University of Cambridge, United Kingdom

Nick Große, Technical University of Dortmund, Germany

Nila Windasari, Institut Teknologi Bandung

Paul Maglio, UC Merced, USA

Sara Hofmann, University of Agder, Norway

Silviana Tana, Australian National University, Australia

Thomas Widjaja, University of Passau, Germany

Track Chairs

Maren Gierlich-Joas, Copenhagen Business School, Denmark, mg.digi@cbs.dk

Abayomi Baiyere, Copenhagen Business School, Denmark, aba.digi@cbs.dk

Thomas Hess, Ludwig-Maximilians-University of Munich, Germany, thess@lmu.de

 

Track Description

In a growing number of industries, new paths of value creation are enabled by the development of digital technologies. To remain competitive, companies use digital technologies to transform their existing business models or to facilitate new ones. These digital transformations often affect large parts of organizations, leading to far-reaching changes in the economy and society. Therefore, it is important to understand digital technology-enabled changes in value creation, capture and realization, exchanges and combinations of resources, delivery of new digital services and products, process innovation, and thus, new digital business models (Hedman and Kalling 2003).

Once implemented, these digital technology-enabled changes can lead to digital transformation which comes with changes in organizations’ identities and value propositions (Wessel et al. 2021). In line with the conference theme “People First: Constructing Digital Futures Together”, companies have to monitor the impact of digital transformation on their employees and society in general to ensure employee well-being, customer satisfaction, human-centeredness, respect of privacy, and ultimately, long-term success.

As an established part of ECIS since 2014, this track will examine the impact of technological developments on companies in the light of digital transformation. Furthermore, the track also invites submissions that focus on how companies can successfully manage the digital transformation process and related organizational changes (Chanias et al. 2019, Matt et al. 2015). Submissions are encouraged from all theoretical and methodological perspectives drawing from IS, management, and related disciplines.

 

Topics of Interest

Topics include but are not limited to:

• Digital technologies as “enablers” of new business models
• Effects of digital transformation on the organizational structure
• Management of digital transformation processes and leadership concepts
• Development and implementation of digital transformation strategies
• New work practices, work arrangements, and changes in the nature of work
• Development of digital competencies within companies
• The impact of digital technologies on the relationship between firms and their stakeholders
• Sustainable digital transformation and organizational performance
• People-centered, and worker-centered digital transformation initiatives

 

Associate Editors

Adrian Yeow, SUSS, Singapore

Ana Ortiz de Guinea Lopez de Arana, HEC Montréal, Canada

Anjuli Franz, TU Darmstadt

Antonia Köster, University Potsdam, Germany

Emmanuel Ayaburi, Cleveland State University, USA

Erdelina Kurti, Malmö University, Sweden

Felix Wortmann, University of St. Gallen, Switzerland

Gongtai Wang, Queens University, Canada

Jan Stockhinger, WWU Münster, Germany

Janina Sundermeier, Freie Universität Berlin, Germany

Jonna Järveläinen, JYU Turku

Joseph Nwankpa, Miami University, USA

Maija Ylinen, Tampere University, Finland

Marko Niemimaa, University of Agder, Norway

Markus Zimmer, Leuphana University, Germany

Moritz Bruckner, University Augsburg

Nicola Ens, Copenhagen Business School, Denmark

Nicolai Fabian, University of Groningen, The Netherlands

Oktay Türetken, Eindhoven University of Technology, Netherlands

Olga Kokshagina, EDHEC Business School, France

Pauline Weritz, University Twente, Netherlands

Roxana Ologeanu-Taddei, Business School Toulouse, France

Suchit Ahuja, Concordia University, Canada

Tapani Rinta-Kahila, The University of Queensland, Australia

Tina Blegind-Jensen, Copenhagen Business School, Denmark

William Baber, Kyoto University, Japan

Dennis R. Metzler, University of Augsburg, Germany

Track Chairs

Roman Rietsche, Bern University of Applied Sciences, Bern, Switzerland, roman.rietsche@bfh.ch

Thiemo Wambsganss, Bern University of Applied Sciences, Bern, Switzerland, thiemo.wambsganss@bfh.ch

Wendy Günther, Vrije Universiteit Amsterdam, Netherlands, w.a.gunther@vu.nl

 

Track Description

The increasing digitization of learning and teaching is revolutionizing education, opening new possibilities for personalized and inclusive learning experiences, and extending access to education beyond traditional boundaries. However, the rapid pace of technological change and the emergence of new digital trends pose significant challenges for educators, students, and policymakers. This research track explores the latest trends and directions for digitized learning and teaching, examining their impact on education and society and identifying strategies to overcome the associated challenges.

The Digitized Learning and Teaching track provides a platform to discuss current research on topics related to the impact of emerging technologies such as generative AI, the metaverse, and EdTech on teaching and learning. The advancements in recent years have changed what we teach (e.g., curriculum design, meta-cognitive skills), how we teach (e.g., pedagogical concepts, tools) and where and when we teach (e.g., hybrid learning, blended learning, virtual reality).

We look forward to submissions on conceptual-theoretical, design-oriented, or behavior-oriented contributions. The track welcomes research on digital education, which deals with the influence of digitalization on (higher) education and vocational training. With existing trends and discussions involving immersive technologies in digital education, we also welcome studies that discuss and elaborate on how to use immersive environments to train different soft and metacognitive skills. Questions also arise about the skills that learners in the digital age need to succeed in the job market and how these skills can be systematically trained. Additionally, the track is open to research with disruptive technologies such as big data analytics, artificial intelligence (AI), Virtual Reality, 3D printing, etc. Overall, this track provides an opportunity to exchange conceptual ideas and empirical findings regarding curriculum, pedagogy, learning environments, and pedagogical innovations via the use of technologies to improve learning in educational institutions and beyond.

 

Topics of Interest

Among others, the track considers topics such as:

• Pedagogical concepts to support digital education, e.g., for effectively teaching soft skills and metacognitive skills
• Design theories for developing socio-technical systems for digital education
• Using learning analytics to improve teaching and learning concepts
• Evaluating concepts for the use of e.g., chatbots, pedagogical conversational agent, smart personal assistants in teaching and learning settings
• Assessing the effectiveness of IS-based technologies in improving student outcomes
• AI-based solutions such as generative AI to better support learning and teaching
• The impact of learning analytics on student performance and intended learning outcomes, as well as the work, tasks, and responsibilities of educators
• Teaching cases
• IS education on emerging domains (FinTech, e-Government, healthcare, and more)
• Use of blockchain technology in education and its potential for example in credentialing and certification
• Educating future researchers on the use of computationally intensive tools for theory construction
• Chances and opportunities for teaching in virtual worlds such as metaverses
• Strategies for ensuring equitable access to digitized learning and teaching opportunities related to digital divide and support of marginalized learners
• Issues of data collection, model building, and evaluation in the context of learning analytics
• Ethical and social implications of trends such as generative AI, including issues related to privacy, data protection, and algorithmic bias
• Approaches for life-long learning and continuous education for IS professionals

 

Associate Editors

Andreas Janson, University of St. Gallen, Switzerland

Andrew Ellis, Bern University of Applied Sciences, Switzerland

Benjamin Paaßen, Universität Bielefeld, Germany

Dominik Gutt, Rotterdamt School of Management, Erasmus University, Netherlands

Edona Elshan, University of St. Gallen, Switzerland

Ernestine Dickhaut, University of Kassel, Germany

Jibril Albachir Frej, École Polytechnique Fédérale de Lausanne, Switzerland

Manuel Schmidt-Kraepelin, Karlsruhe Institute of Technology, Germany

Miriam Leuchter, University of Kaiserslautern-Landau, Germany

Mohammad Rezazade Mehrizi, Vrije Universiteit Amsterdam, Netherlands

Nikolaus Obwegeser, Berner Fachhochschule, Switzerland

Philipp Ebel, University of St. Gallen, Switzerland

Richard Lee Davis, École Polytechnique Fédérale de Lausanne, Switzerland

Sarah Oeste-Reiß, University of Kassel, Germanyx

Wallace Chipidza, Claremont Graduate University, USA

Track Chairs

Willem Standaert, HEC Liège – Management School of the University of Liège, Belgium, Willem.standaert@uliege.be

Sirkka L. Jarvenpaa, McCombs School of Business, University of Texas at Austin, USA, Sirkka.jarvenpaa@mccombs.utexas.edu

Xiao Xiao, Copenhagen Business School, Denmark, xx.digi@cbs.dk

 

Track Description

This track focuses on the transformational power of digital technology in professional, recreational, and varied forms of digital sports (i.e. gaming and eSports) while keeping humans at the center. Sports and digital technologies have become intricately intertwined and together redefine physical-digital resource interactions in the Metaverse.

Boundaries between the physical and digital world in sports are blurring. Sportwatches and other wearables can be used by amateur and professional sportspeople alike to transform physical activities and bodily information into digital resources, which in turn enable physical health and performance improvements. As more advanced cases, we can consider digital set-ups of stationary bicycles (e.g., Peloton or Zwift) that allow geographically distributed workouts and (professional) competitions. Also, sports governing bodies are increasingly digitalizing refereeing, judging, and the fight against doping in sports (e.g., Video-Assisted Refereeing or AI-Powered Judging).

While for traditional sports, digitalization involves tinkering about how to stay as true-to-life as possible and to retain the integrity of the competition, newly found sports (e.g., Drone Racing League) succeed in seamlessly merging the worlds of sport and eSport. As such, sports provide one of the most productive use cases for emerging technologies such as the Metaverse and Non-Fungible Tokens (e.g., for fan engagement). Finally, competitive racing (e.g., Indy Autonomous Challenge) provides a platform for both advancing and promoting autonomous AI technology, which can be a game changer for human mobility.

The famous mantra by Nelson Mandela (“Sport has the power to change the world… to unite people in a way that little else does”) stems from the pre-digital age and in the meantime, online streaming allows sports competitions large and small to easily extend their reach globally. Consequently, the streaming wars are increasingly determined by live (e)Sports coverage. Also, social media platforms enable highly emotional engagement among sportspeople and fans and also allow for co-creation among fans, teams, and athletes (e.g., Fan Controlled Football).

Furthermore, sports organizations aim to leverage social media platform to highlight Diversity, Equity, and Inclusion initiatives, nevertheless issues remain related to racism and other forms of discrimination both on and off the pitch. Likewise, digital reach and influence can be inappropriately used by companies and countries that want to improve their reputation by associating with sports (i.e. “sports washing”). Other dark sides of digitalization in this realm include addictions to gaming and sports betting.

Against the background of digital technology transforming the playing field, the goal of this track is to examine:

• how traditional sports organizations, entrepreneurs, and individuals have approached digitalization across different sporting areas;
• how digitalization changes the nature, practices, and organization of eSports and gaming;
• how immersive (e)Sports experiences can be designed in the Metaverse and possible implications for well-being;
• how the (e)Sports context can contribute to our understanding of digitalization and management phenomena.

 

Topics of Interest

Topics of interest include but are not limited to:

• Digitalization, (e)Sports, and sustainability (e.g., environment, DEI, peace)
• Digital innovation for refereeing, judging, or the fight against doping in (e)Sports
• Innovative uses of technologies (e.g., social media, fan tokens, Metaverse) for (e)Sports fan engagement
• Digital technology (e.g., AR or analytics) adoption and use in (e)Sports and gaming
• (Generative) Artificial Intelligence in (e)Sports and gaming
• Digital technology (e.g., blockchain), new business models, and professionalization in (e)Sports and gaming
• Data privacy, ownership, and portability in sports
• Digital platforms and ecosystems for sports
• Digital transformation of sports and gaming organizations
• Synergies between physical and digital sports in the Metaverse
• Datafication of recreational sports and well-being monitoring
• The dark side of digitalization in (e)Sports and gaming

 

Associate Editors

Arne Grüttner, University of St. Gallen, Switzerland

Arno De Caigny, IESEG School of Management, France

Christopher Califf, Western Washington University, USA

Daniel Wesmattelmann, University of Münster, Germany

Eeva Kettunen, University of Jyväskylä, Finland

Elena Mazurova, HEC Liège – Management School of the University of Liège, Belgium

Esko Penttinen, Aalto University, Finland

Felix Tan, University of New South Wales, Australia

Jeffrey Treem, The University of Texas at Austin, USA

Jonas Hedman, Copenhagen Business School, Denmark

Jonas Landgren, University of Gothenburg, Sweden

Raghava Mukkamala, Copenhagen Business School, Denmark

Sanna Tiilikainen Aalto University, Finland

Simeon Vidolov, Technological University Dublin, Ireland

Tony Ammeter, The University of Mississippi, USA

Track Chairs

Christy MK Cheung, Hong Kong Baptist University, Hong Kong, ccheung@hkbu.edu.hk

Marten Risius, University of Queensland, Australia, m.risius@business.uq.edu.au

Tommy Chan, The University of Manchester, United Kingdom, tommy.chan@manchester.ac.uk

 

Track Description

This track aims to develop theoretical and practical insights into issues related to social and ethical implications of information and communication technology (ICT) use, with the goal to thrive towards a sustainable and digitally-enabled future. This track thus aligns with the ECIS 2024 conference theme of “People First: Constructing Digital Futures Together”. It answers current calls for socially conscious and value-oriented IS research (Aanestad et al. 2021; Qureshi et al. 2020; Spiekermann et al. 2022).

We welcome papers that address knowledge gaps in (1) the nature of the problem under investigation, (2) negative aspects associated with the problem, and (3) solutions that can mitigate the problem.

The track is open to all methodological approaches.

 

Topics of Interest

We invite both full research and research-in-progress papers.

• Undesirable/unintended use of ICTs: Cyberbullying, addiction, polarisation, vigilantism, doxing, mis/disinformation, illegitimate surveillance, online extremism, activism, etc.
• Societal issues of current and emerging ICTs on labour market: Unemployment, deskilling, substitution, algorithmic biases, and discrimination, etc.
• Responsible use of ICTs: Ethical ICT governance, ethical guidelines for ICT application, societal concerns in ICT planning and governance, etc.
• (Un)ethical uses of ICTs and the data they generate in elections, organisations, marketing, etc.
• Digital inclusion/exclusion, equality/inequality, wellbeing, literacy, diligence, resilience
• ICT-based prevention and intervention strategies for social and ethical issues

 

Associate Editors

Aaron Cheng, London School of Economics and Political Science, United Kingdom

Amany Elbanna, Royal Holloway University of London, United Kingdom

Andrea Lagna, University of Manchester, United Kingdom

Aseem Pahuja, University of Manchester, United Kingdom

Ayoung Suh, Sungkyun Kwan University, South Korea

Bart Knijnenburg, Clemson University, USA

Ben Choi, Nanyang Technological University, Singapore

Bikesh Raj Upreti, University of Queensland, Australia

Carmen Leong, University of New South Wales, Australia

Claudia Müller-Birn, Free University of Berlin, Germany

Daniel Pienta, Baylor University, USA

Dimitra Skoumpopoulou, Northumbria University, United Kingdom

Hongxiu Li, Tampere University, Finland

Julia Krönung, Hagen University, Germany

Kevin Bauer, University of Mannheim, Germany

Kevin M. Blasiak, TU Vienna, Austria

Laurence Marie Anna Habib, Oslo Metropolitan University, Norway

Mahsa Honary, Lancaster University, United Kingdom

Marc Cheong, Melbourne University, Australia

Morteza Namvar, University of Queensland, United Kingdom

Nisreen Ameen, Royal Holloway University of London, United Kingdom

Randy Wong, University of Auckland, New Zealand

Snehasish Banerjee, University of York, United Kingdom

Stephen McCarthy, University College Cork, Ireland

Wenxi Pu, University of Manitoba, Canada

Yangjun Li, Beijing Institute of Technology, China

Yong Liu, Aalto University, Finland

Zach Lee, University of Leicester, United Kingdom

Tatiana Martinez, University of Manchester, UK

References

Aanestad, M., Kankanhalli, A., Maruping, L., Pang, M.-S., and Ram, S. 2021. “Special Issue — Call for Papers — Digital Technologies and Social Justice,” MIS Quarterly, (0:0), pp. 1-8.

Qureshi, I., Bhatt, B., Gupta, S., and Tiwari, A. A. 2020. “Call for Papers: Causes, Symptoms and Consequences of Social Media Induced Polarization (Smip),” Information Systems Journal (0:0), pp. 1-12.

Spiekermann, S., Krasnova, H., Hinz, O., Baumann, A., Benlian, A., Gimpel, H., Heimbach, I., Köster, A., Maedche, A., Niehaves, B., Risius, M., and Trenz, M. 2022. “Values and Ethics in Information Systems,” Business & Information Systems Engineering (64:2), pp. 247-264.

Track Chairs

Juho Lindman, University of Gothenburg, Sweden, Juho.lindman@ait.gu.se

Kalina Staykova, Warwick Business School, United Kingdom, Kalina.Staykova@wbs.ac.uk

Matti Rossi, Aalto University, Finland, matti.rossi@aalto.fi

 

Track Description

Blockchain/DLT technologies challenge prevailing myths concerning the supremacy of centralized computing architectures and offer new opportunities to develop radically new digital financial services. At the same time, the new technology architecture has been criticized as being ‘unnecessary’ or ‘unfit’ to deal with real issues in finance and beyond. FinTech, which refers to using novel technologies such as blockchain to design, deliver, and optimize financial services, describes various technological interventions within digital finance. FinTech includes a variety of innovative services within private finance (e.g., P2P payment platforms, money remittances, saving accounts, P2P lending platforms, and alternative credit scoring) and commercial finance (e.g., crowdfunding and security trading without human intervention), as well as within the operational backbone of traditional financial institutions. Blockchain-based applications in this area include cryptocurrencies, digital cash, underlying blockchain technology architecture (DLT, including Ethereum), smart contracts and automatic execution of contracts, open banking initiatives, InsurTech, RegTech (compliance, AML, and KYC), WealthTech (e.g., automatic investment advice), financial services for underbanked and unbanked people, and cybersecurity approaches and services.

We encourage empirical work in these areas relating to the design and use of blockchain-based innovations in FinTech.

 

Topics of Interest

Topics for this track include but are not limited to the following:

• Novel approaches to development of blockchain (e.g., blockchain interoperability)
• De-Fi Platforms
• Blockchain platform governance and standards (e.g., Decentralized Autonomous Organizations)
• Smart contracts
• Crypto assets (Cryptocurrencies, NFTs, etc.) and tokens
• Stable coins and CBDCs
• Decentralised identity and wallet solutions
• Blockchain failure in the financial industries
• Innovation in capital markets (trading, crowdfunding, peer-to-peer lending)
• Use of AI and blockchain in WealthTech, InsurTech and PropTech
• Use of AI and blockchain in Web3
• Blockchain for financial inclusion
• Regulatory approaches of innovative financial services and RegTech (AML, security issues)
• Security of blockchain-based platforms

 

Associate Editors

Alexander Rieger, University of Arkansas, USA

Arthur Carvalho, Miami University, Oxford, Ohio, USA

Gerhard Schwabe, University of Zurich, Switzerland

Grace Fox, Dublin City University, Ireland

Henry Kim, Schulich School of Business, York University, Toronto, Canada

Jonas Valbjørn Andersen, IT University Copenhagen, Denmark

Liudmila Zavolokina, University of Zurich, Switzerland

Livia Norstrom, University West, Sweden

Manlu Liu, Rochester Institute of Technology, Rochester, New York, United States

Matthew Mullarkey, University of South Florida, USA

Moris Strub, Warwick Business School, United Kingdom,

PK Senyo, Southampton Business School, University of Southampton, Southampton, Hampshire, United Kingdom

Raffaele Ciriello, University of Sydney, Australia

Sergio Guerreiro, University of Lisbon, Portugal

Venkata Marella, DTU – Technical University of Denmark, Denmark

Yi Ding, Walwick Business School, United Kingdom

Jonas Jonas Valbjørn Andersen, IT University Copenhagen, Denmark

Kari Koskinen, Aalto University, Finland

Carsten Sorensen, Copenhagen Business School, Denmark

Track Chairs

Marc-Fabian Körner, University of Bayreuth, Germany, marc.koerner@fim-rc.de

Gilbert Fridgen, University of Luxembourg, Luxembourg, gilbert.fridgen@uni.lu

Jiyong Park, University of Georgia, USA, jiyong.park@uga.edu

 

Track Description

Designing and implementing approaches for a more sustainable future and mitigating the impacts of global climate change by accelerating decarbonization is a societal and moral imperative of our time (Fuldauer et al. 2022). To strengthen the three pillars of sustainability and to speed up the corresponding sustainability transition, various scholarly fields have acknowledged the obligation to understand and to design solutions for sustainability-related problems (Gholami et al. 2016; Soergel et al. 2021; Seidler et al. 2017). Gholami et al. (2016) highlighted that the solution could not be generated by one discipline. Rather, tackling Grand Global Challenges requires collaborative multi‐disciplinary efforts to which the information systems (IS) profession can contribute critical knowledge and expertise in various ways (Elliot 2011; Melville 2010; Seidel et al. 2017; Watson et al. 2010).

Thus, feasibility and clear intention galvanized IS scholars to adopt sustainability as an important topic in their research. As IS researchers, it is on us to understand, explain, and shape the positive and negative consequences that flow from the (currently limping) transition toward a more sustainable future. But merely recognizing our obligation is not sufficient – we must embark on analysing the potential costs, duties, and obligations of decisions that particularly relate to the development, implementation, and use of Green Information Systems (Green IS). Green IS is pivotal for strategic sustainable solutions. It addresses issues associated with IS use by individuals, groups, organizations, and society to support environmentally sustainable practices and processes to emerge and diffuse (Watson et al. 2010). Green IS pinpoints that IS can play a pivotal role in enabling more sustainable solutions and encapsulates the responsibility of IS researchers and practitioners toward environmentally, economically, and socially sustainable development. In particular, we seek for contributions that shed light on the role of individuals in the ongoing sustainable transition.

This conference track is tightly bound to the AIS Special Interest Group on Green Information Systems (SIGGreen). SIGGreen recognizes that the IS discipline can have a central role in creating an ecologically sustainable society. The scope of SIGGreen is to discuss, develop ideas, and promote the role of IS in the global green agenda for mitigating climate change and fostering decarbonization through research, education, and community engagement. It spans the dual responsibilities of the IS profession to both reduce its impact on the environment and use its particular expertise to enable others to do so. Hence, this track is meant to provide a platform for those in our discipline concerned with how information systems can help reduce human impact on the natural environment. We welcome the entire spectrum of information systems research and invite innovative, rigorous, relevant, and exciting research on Green IS and sustainability. We also appreciate interdisciplinary work as long as a substantive engagement with the information system discourse is maintained.

 

Topics of Interest

Potential topics include, but are not limited to:

• Design of information systems to address ecological, social, and/or ethical challenges
• The role of IS for promoting the pivotal role of individuals in a sustainable future
• The role of IS in the current energy transition
• IS-based approaches to foster decarbonization
• IS to support sustainable, innovative, and smart mobility solutions
• IS to support sustainable consumer decisions
• IS to support smart and sustainable cities and districts
• Transformations toward sustainable business models (e.g., circular economy)
• Applications of emerging IS innovations (e.g., AI, blockchain) to sustainability realms
• Decision support for environmentally sustainable development
• IS for social good
• Green IS development
• The role of IS in energy sectors (electricity, heat, mobility, …)
• Meeting and collaborating virtually: reducing the need to travel
• The affordances of existing and emerging (green) information systems for enacting sustainable development

 

Associate Editors

Alena Buchalcevova, University of Economics, Prague, Czech Republic

Anne Ixmeier, Ludwig-Maximilians-University of Munich, Germany

Chadi Aoun, Carnegie Mellon University

Claris Chung, University of Canterbury, New Zealand

David Kreps, University of Galway, Ireland, david.kreps@nuigalway.ie

Florian Johannsen, University of Applied Sciences Schmalkalden, Germany

Friedrich Chasin, University of Cologne, Germany

Jacqueline Corbett, Université Laval Québec, Canada

Jaeung Sim, University of Connecticut, USA

John Rios, University of Georgia, USA

Julia Lanzl, University of Hohenheim, Germany

Juuli Lumivalo, University of Jyväskylä, Finland

Kenan Degirmenci, Queensland University of Technology, Australia

Leif Flak, University of Agder, Norway

Magnus Rotvit Perlt Hansen, Roskilde University, Denmark

Marina Fiedler, University of Passau, Germany

Martin Weibelzahl, University of Applied Science Augsburg, Germany

On-Ook Oh, CU Denver Business School, USA

Philipp Staudt, Carl von Ossietzky University, Germany

Robert Keller, Kempten University of Applied Sciences, Germany

Tamara Roth, University of Arkansas, troth@walton.uark.edu

Terence Saldanha, University of Georgia, USA

Verena Tiefenbeck, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Xikun Jiang, University of Copenhagen, Denmark, xikun@di.ku.dk

Youngseok Thomas Choi, Kingston University London, United Kingdom

Jyoti Mishra, University of Leeds, UK

References

Elliot, S. (2011): Transdisciplinary perspectives on environmental sustainability: A resource base and framework for IT-enabled business transformation. In: MIS Quarterly 35 (1), pp. 197–236.

Fuldauer, L.I., Thacker, S., Haggis, R.A. Fuso-Nerini, F., Nicholls, R.J., Hall, J.W. (2022): Targeting climate adaptation to safeguard and advance the Sustainable Development Goals. In: Nat Commun 13, 3579.

Gholami, R., Watson, R. T., Hasan, H., Molla, A., Bjorn-Andersen, N. (2016): Information systems solutions for environmental sustainability: How can we do more? In: Journal of the Association for Information Systems 17 (8), pp. 521–536.

Melville, N. P. (2010): Information systems innovation for environmental sustainability. In: MIS Quarterly 34 (1), pp. 1–21.

Seidel, S., Bharati, P., Fridgen, G., Watson, R. T., Albizri, A., Boudreau, M-C., Butler, T., Kruse, L. C., Guzman, I., Karsten, H., Lee, H., Melville, N. P., Rush, D., Toland, J., Watts, S. (2017): The sustainability imperative in information systems research. In: Communications of the Association for Information Systems, 40 (3).

Seidler, A-R, Henkel, C., Fiedler, M., Kranz, J. (2017): Greening the organisation: An institutional logics approach to corporate pro-environmentalism. In: British Academy of Management Conference 2017, (BAM 2017). British Academy of Management Conference 2017, (BAM 2017). Warwick, GB, September 5-7.

Soergel, B., Kriegler, E., Weindl, I. et al. (2021): A sustainable development pathway for climate action within the UN 2030 Agenda. In: Nat. Clim. Chang. 11, pp. 656–664.

Watson, R. T., Boudreau, M-C., Chen, A. J. (2010): Information systems and environmentally sustainable development: energy informatics and new directions for the IS community. In: MIS Quarterly 34 (1), pp. 23–38.

Track Chairs

Heiko Gewald, Neu-Ulm University of Applied Sciences, Germany, heiko.gewald@hnu.de

Doug Vogel, Harbin Institute of Technology, China, vogel.doug@gmail.com

Nilmini Wickramasinghe, Swinburne University of Technology, Australia, nilmini.work@gmail.com

 

Track Description

Globally, healthcare systems are struggling with the monumental challenges of providing quality care to a growing, aging population, as well as facilitating the monitoring and management of exponentially increasing chronic diseases such as diabetes or obesity and trying to stem exponentially increasing costs to deliver quality care and access.

Health IT has the potential to deliver a measurable impact on managing these challenges and support a healthcare value proposition of better quality of care, better access to care and better value care. However, to date, evidence is scarce as to whether Health IT lives up to this promise and the expected benefits from IT have yet to be fully realized.

This track seeks conceptual, empirical and design science research and research in progress papers that address this conundrum and serve to enhance our knowledge on all facets of digital health.

 

Topics of Interest

We specifically look for papers dealing with:

• the challenges of the ageing population
• well-being / wellness-tourism / medical-tourism
• mobile Health solutions and electronic assists

Topics of interest also include, but are not limited to:

• Behavior changing digital interventions and persuasive technology
• Telemedicine and telehealth and their impacts on health and economic outputs
• Adoption, diffusion, and assimilation of health information systems
• Wearable health devices and their health outcomes
• Virtual Communities and their impact on patient empowerment and patient safety.
• User-Generated Content and its impact on healthcare practices and providers
• Health IT for the physically and cognitively challenged
• Design and implementation of health information technologies
• Evaluations of EMR, EHR or PHR solutions
• Privacy and security of health information
• Healthcare analytics and corresponding data visualization
• Specific IT/IS adoption and usage patterns of the elderly
• Digital health platforms and communities for the elderly
• The impact of technology usage on well-being of the elderly
• Theories and research frameworks for investigating age-related IS phenomena
• Methodological challenges of investigating elderly people’s technology usage
• Impact of technology training on elderly’s perceptions and behaviors
• Effective design of digital technologies for elderly people
• Computer and IT-related self-efficacy of the elderly
• Understanding of elderly people’s technology needs, expectations, and requirements
• User interface design, usability and accessibility issues
• Integration of elderly people in the design of technology
• Non-intrusive or minimally intrusive surveillance for independent living
• Design requirements for technologies supporting independent living
• Medication management, compliance, training, and safety for independent living
• Visions for future technologies for elderly people
• IOT technologies for assisted living
• Meta-analyses and meta-syntheses of research on elderly people and IS
• IT-Security for elderly people (esp. phishing, scamming etc.)
• Trust and distrust of elderly people in digital technologies
• How IT has enabled and supported patient-centered value-based care
• Social Media for the elderly
• Patient-, caregiver-, -guardian, and clinician-centric design methods
• Convergence and management of consumer and medical devices, informatics, and systems

 

Associate Editors

Alex Wang, Edith Cowan University, Australia

Amir Andargoli, Swinburne University of Technology, Australia

Angela Yu, Renmin University of China, China

Aycan Aslan, University of Goettingen, Germany

Bjoern Schreiweis, University of Kiel, Germany

Blooma John, Canberra University, Australia

Burkhardt Funk, Leuphana University Lüneburg, Germany

Claudia Mueller, University of Siegen, Germany

Elizabeth Baker, Virginia Commonwealth University, USA

Frada Burstein, Monash University, Australia

Heinz-Theo Wagner, Neu-Ulm University of Applied Sciences, Germany

Henry Linger, Monash University, Australia

Indrit Troshani, University of Adelaide, Australia

Jacky Zhang, Tianjin University, China

Jörg Leukel, University of Hohenheim, Germany

Juergen Seitz, DHBW Heidenheim, Germany

Kourosh Dadgar, University of San Francisco, USA

Maike Greve, University of Goettingen, Germany

Maximilian Haug, Neu-Ulm University of Applied Sciences, Germany

Melanie Reuter-Oppermann, University of Twente, Netherlands

Michael Fellmann, University of Rostock, Germany

Michael Gau, University of Liechtenstein, Liechtenstein

Mirou Jaana, University of Ottawa, Canada

Navin Misser, HU University of Applied Sciences Utrecht, Netherlands

Peggy Richter, Technical University of Dresden, Germany

Peter Liang, Louisiana State University, USA

Phil Zhou, Tonji University, China

Philipp Brune, Neu-Ulm University of Applied Sciences, Germany

Prem Jayaraman, Swinburne University of Technology, Australia

Qianqian Zhang, Harbin Institute of Technology, China

Rüdiger Breitschwerdt, Mobile University of Technology

Shanshan Guo, Shanghai International Studies University, China

Shuiqing Chen, Harbin Institute of Technology, China

Tobias Mettler, University of Lausanne, Switzerland

Xiaoxiao Liu, Xi’an Jiaotong University

Xitong Guo, Harbin Institute of Technology, China

Yuanyuan Dang, South China University of Technology, China

Track Chairs

Constantinos K. Coursaris, HEC Montréal, Canada, coursaris@hec.ca

Chee-Wee Tan, The Hong Kong Polytechnic University, chee-wee.tan@polyu.edu.hk

Wietske Van Osch, HEC Montréal, Canada, wietske.van-osch@hec.ca

 

Track Description

New and exciting opportunities are emerging in the field of Human-Computer Interaction (HCI) due to advances in digital technologies, which range from immersive experiences involving Augmented and Virtual Reality (AR / VR) to intelligent agents and robotics. But at the same time, these digital technologies have given rise to unprecedented challenges with associated demands on how to optimize user experience. This in turn renders a human-centered perspective in contemporary studies on human-AI teaming, human-robot interactions, and the metaverse, among others, of paramount importance.

This HCI Research in MIS track offers a forum for Management of Information Systems (MIS)-focused HCI researchers to not only engage in constructive and meaningful dialogues on contemporary HCI topics, but to also exchange ideas related to the field of HCI. Particularly, the track places emphasis on the design, evaluation, adoption, and usage of information technology, especially in terms of improving user experience and performance.

 

Topics of Interest

This track welcomes submissions that aim to further our understanding of HCI at the individual, work group, organization, or society levels, using any type of research method. Given the diverse goals of this workshop, a non-exhaustive list of potential topics is provided below:

• Adaptive, context-aware interface design
• Metaverse and immersive environments (AR/VR)
• Data analytics in HCI
• Human-Centered Artificial Intelligence (AI)
• Human-Robot Interactions
• Neuroscientific approaches to HCI
• Diversity, Equity, and Inclusion (DEI) issues in HCI
• Ethics and responsibility in interface design
• Gamified approaches to HCI
• Dark Side of HCI (e.g., technostress)
• Conversational and intelligent agents
• Implications and consequences of HCI advances on individuals, collectives, and society
• Privacy and security issues in HCI
• Interface design for individual and/or collective usage
• Interface design for the elderly, the young, and/or other communities with special needs
• Design and evaluation of mobile and/or web interfaces

 

Associate Editors

Andreas Eckhardt, University of Innsbruck, Austria

Bingqing Xiong, Deakin University, Australia

Boying Li, University of Nottingham Ningbo China, China

Dov Te’Eni, Tel Aviv University, Israel

Eric Lim, University of New South Wales, Australia

Fangfang Hou, Xi’an Jiaotong-Liverpool University, China

Fiona Fui-Hoon Nah, City University of Hong Kong, Hong Kong

Lakshmi Iyer, Appalachian State University, USA

Mengyao Fu, Laboratory for AI-Powered Financial Technologies Limited, Hong Kong

Na Jiang, BNU-HKBU United International College, China

Polyxeni (Xenia) Vasilakopoulou, University of Agder, Norway

Suranga Nanayakkara, National University of Singapore, Singapore

Torkil Clemmensen, Copenhagen Business School, Denmark

Vasso Stylianou, University of Nicosia, Cyprus

Track Chairs

Annette M. Mills, University of Canterbury, New Zealand, annette.mills@canterbury.ac.nz

Christoph Weinert, University of Bamberg, Germany, Christoph.weinert@uni-bamberg.de

Jennifer Claggett, Wake Forest University, USA, claggett@gmail.com

 

Track Description

Since its inception, the field of IS has made significant strides in understanding the range of issues impacting the implementation and use of IT/IS innovations in various settings. However, this last decade has witnessed unprecedented changes and digital transformation that affect and will increasingly affect almost every aspect of life. This new environment comes with new economic, societal, technological and ethical challenges. The unrelenting pace of technological innovation and transformation, with new and emerging information systems and technologies, including artificial intelligence, machine learning, Internet of Things, and their combinatorial effects provides tremendous opportunity for transforming lives, and creating new social and economic opportunities for people. As new spaces, tools and ways of working, consuming, relaxing, communicating and building relationships emerge, so too do opportunities for discrimination, inequality, fraud, exploitation, and penetration in professional and private lives. To address, organisations like the OECD have set forth ambitious goals to balance rights, interests and values, empower people, and ensure safe digital futures for all. Nations, societies and organisations must be tasked with developing technologies, policies, processes and regulations in ways that balance the new digital future with inclusivity, empowerment, protection, rights and the safety of people.

The extant literature on IT/IS innovation, adoption and diffusion has advanced our knowledge of how IT/IS can be successfully implemented in ways that reshape organisational operations. However, addressing the larger economic, societal and ethical challenges requires reflection, exploration and rethinking the theories, methods and contexts that dominate adoption research. This calls for new theories and methodologies or ways of engaging and reshaping existing theories/methodologies to address the complexities that are revolutionising national economies, organizational operations, societies, the environment and individuals’ lives.

This track invites research that provides fresh theoretical and methodological insights on IT/IS innovation, adoption, use and diffusion. We especially encourage contributions that propose new theoretical perspectives and methodological approaches to understanding adoption, implementation, use and diffusion of IT/IS innovations that puts people first. Studies that use novel conceptual, analytical, design-oriented, or empirical approaches, and describe theoretically original and practically relevant research are welcome.

 

Topics of Interest

Potential topics include but are not limited to:

• Organizational, societal and individual adoption, use and discontinuance of digital technologies
• Co-creation of responsible IT/IS adoption and use experiences.
• Empowering people through IT/IS
• Adoption, use and diffusion of digital technologies and machine/AI actors for inclusivity, equity and sustainability
• Enablers and inhibitors of IT adoption, collaboration, use and diffusion
• Combinatorial IT adoption, implementation and use for organizations, societies, and individuals
• Multi-level analysis of IT adoption, implementation, use and diffusion
• Interplay between IS/IT adoption, use and user protection
• Longitudinal investigation of dynamics of IT adoption, implementation, use and diffusion
• Innovative uses of digital technologies and impacts (both negative and positive) on nations, organizations, societies, and individuals in all aspects of life
• Multidisciplinary perspectives on acceptance, implementation, use and diffusion of IT/IS
• Dark Sides of IT/IS adoption and use experiences
• New theoretical perspectives on, and methodological approaches to examining adoption, use, diffusion of and transformation through IT/IS

 

Associate Editors

Alex Zarifis, PSL University, France

Allen Tseng, Central Michigan University, USA

Anand Jeyaraj, Wright State University, OH, USA

Andrew Schwarz, Louisiana State University, USA

Andy Weeger, University of Applied Sciences Neu-Ulm, Germany

Arturo Cano Bejar, Arizona State University

Christian Maier, Ludwig-Maximilians-University of Munich, Germany

Florian Pethig, University of Mannheim, Germany

Hanlie Smuts, University of Pretoria, South Africa

Hugo Lam, University of Liverpool, United Kingdopm

Isaac Vaghefi, City University of New York, NY, USA

JJ Po-An Hsieh, Georgia State University, GA, USA

Manfred Schoch, University of Augsburg, Germany

Melody Zou, Walwick Business School, United Kingdom

Mike Dinger, University of South Carolina Upstate, USA

Nehir Tanyel , University of Cincinnati

Sven Laumer, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Tim Weitzel, University of Bamberg, Germany

Yi-Te Chiu, Victoria University of Wellington, New Zealand

Zeeshan Bhatti, University of Portsmouth, United Kingdom

Siyuan Li, Raymond A. Mason School of Business: William & Mary, USA

Nelly Todorova, University of Canterbury, New Zealand

Track Chairs

Oliver Krancher, IT University of Copenhagen, Denmark, olik@itu.dk

Ilan Oshri, University of Auckland, New Zealand, ilan.oshri@auckland.ac.nz

Thomas Huber, ESSEC Business School, France, Huber@essec.edu

 

Track Description

In the digital age, new technologies and changes in ecosystems allow organizations to fundamentally change how they perform and organize work, collaborate across organizational boundaries, and generate value with digital technology (Fitzgerald et al., 2014). At the same time, as digital technologies penetrate into more and more aspects of professional and private life, there is a need for information systems (IS) management to not only help harness the new opportunities of the digital age but also to set up structures to ensure that these new opportunities are capitalized to improve the human condition.

These fundamental changes require organizations to rethink in multiple ways their approaches to IS governance, strategy, and sourcing. As more and more digital technologies are developed and assembled through platform ecosystems, IS management extends beyond corporate strategy, corporate governance, and the management of dyadic sourcing relationships to include platform strategies, platform governance (Hurni et al., 2019), and the management of multilateral sourcing relationships (Oshri et al., 2019). Cloud technologies, low-code platforms, and IT consumerization empower employees to source and design their own digital solutions, challenging existing notions of formal governance and control (Krancher et al. 2018, Wiener et al., 2019). The surge of artificial intelligence (AI) has made data an even more important organizational resource, requiring practitioners and researchers to understand solutions and challenges to data governance, data strategy, and data sourcing (Markus, 2017; Newell & Marabelli, 2015, Tarafdar et al., 2017). Moreover, while new technologies and competitive environments require organizations to rapidly develop and reconfigure digital solutions, they also need to ensure the stability of increasingly integrated digital infrastructures, calling for an understanding of how organizations can ensure both agility and stability (Tallon et al, 2019). Last but not least, new technical developments and legal requirements also call for IS managers to set up structures that regulate unwanted consequences of the use of digital technologies such as algorithmic discrimination and the enormous carbon footprints associated with AI and other technologies.

This track welcomes papers that improve our understanding of these and other challenges related to IS governance, strategy and sourcing in the digital age. We welcome all types of research, including empirical, conceptual, design, and simulation research.

 

Topics of Interest

Topics of interest include, but are not limited to:

• Digital strategizing and strategy implementation
• Strategic impact of emerging digital technologies (e.g., AI, blockchain, AR & VR) on business models and governance structures
• Sourcing of emerging digital technologies
• Sourcing configurations and sourcing arrangements for the digital age (multi-sourcing, plural sourcing, crowdsourcing, cloud sourcing, etc.)
• Sourcing as a driver of digital transformation processes
• Impact of IS strategy, governance, and sourcing on agility and stability
• Critical perspectives on IS strategy, governance, and sourcing
• Algorithmic governance, management of algorithmic learning processes, management of autonomous agents
• Technology-driven changes in strategy, governance, and sourcing practices
• Sustainability aspects of IS strategy, governance, and sourcing
• Platform governance and platform strategy
• Data governance, strategy, and data sourcing

 

Associate Editors

Aljona Zorina, IESEG School of Management, France

Angelika Zimmermann, Loughborough University, United Kingdom

Arne Buchwald, Vlerick Business School, Belgium

Brian Dunn, Utah State University, USA

Cancan Wang, IT University of Copenhagen, Denmark

Christoph Müller-Bloch, ESSEC Business School, France

Daniel Gozman, University of Sydney, Australia

Dennis Steininger, University Kaiserslautern-Landau (RPTU), Germany

Erran Carmel, American University, USA

Giovanni Vaia, Ca’ Foscari University of Venice, Italy

Jade Brooks, University of Auckland, New Zealand

Jessica Slamka, University of Applied Science Munich, Germany

Kai Spohrer, Frankfurt School of Finance & Management, Germany

Markus Westner, OTH Regensburg, Germany

Nico Wunderlich, IT University of Copenhagen, Denmark

Nils Urbach, Frankfurt University of Applied Sciences, Germany

Paul Drews, Leuphana University of Lueneburg, Germany

Per Rådberg Nagbøl, IT University of Copenhagen, Denmark

Pratim Datta, Kent State University, USA

Sachin Kumar, University of Bern, Switzerland

Till Winkler, University of Hagen, Germany

Xi Wu, Bocconi University, Italy

Ying Zhang, University of Auckland, New Zealand

 

References

Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014) “Embracing Digital Technology: A New Strategic Imperative,” MIT Sloan Management Review, 55(2), 1-12.

Hurni, T., Huber, T. L., Dibbern, J., & Krancher, O. (2021). Complementor dedication in platform ecosystems: rule adequacy and the moderating role of flexible and benevolent practices. European journal of information systems, 30(3), 237-260.

Markus, M. L. (2017) “Datification, Organizational Strategy, and IS Research: What’s the Score?” Journal of Strategic Information Systems, 26(3), 233-241.

Newell, S., & Marabelli, M. (2015) “Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’,” Journal of Strategic Information Systems, 24(1), 3-14.

Oshri, I., Dibbern, J., Kotlarsky, J., & Krancher, O. (2019). An information processing view on joint vendor performance in multi-sourcing: the role of the guardian. Journal of Management Information Systems, 36(4), 1248-1283.

Tallon, P. P., Queiroz, M., Coltman, T., & Sharma, R. (2019). Information technology and the search for organizational agility: A systematic review with future research possibilities. The Journal of Strategic Information Systems, 28(2), 218-237.

Tarafdar, M., Beath, C., & Ross, J. (2017) “Enterprise Cognitive Computing Applications: Opportunities and Challenges,” IT Professional, 19(4), 2-8.

Wiener, M., Mähring, M., Remus, U., & Saunders, C. (2016) “Control Configuration and Control Enactment in Information Systems Projects: Review and Expanded Theoretical Framework,” MIS Quarterly, 40(3), 741-774.

Track Chairs

Michael Zaggl, Aarhus University, Denmark, zaggl@mgmt.au.dk

Ann Majchrzak, University of Southern California, USA, majchrza@usc.edu

Karl Werder, University of Cologne, Germany, werder@wiso.uni-koeln.de

 

Track Description

Research methods in information systems (IS) are quickly evolving and new methods emerge that benefit from technological advances and richer data sources. These innovative research methods comprise new ways of data collection, processing, and analysis enabling new insights on digital artefacts and their relation to relevant social and technical constructs (Berente et al., 2018). They are well suited to study, for instance, digital innovation, digitalization, and other aspects of the digital economy by analyzing digital traces in connection with innovative digital technologies. Innovative research methods include text analytics (Zhou et al., 2018; Majchrzak et al., 2021), for instance, through natural language processing or topic modelling (Yang et al., 2022), collecting and analysing digital traces (Belanger & Crossler, 2019; Pentland et al., 2020), and online behavioral data (Müller et al., 2016), but also conducting large scale digital experiments (Somanchi et al., 2023) and simulations (e.g., agent-based modeling, NK models, etc.). These methods allow IS researchers to capture existing and novel constructs in order to answer novel research questions that IS scholars could not answer without such data and generate new theory (Berente et al., 2018).

This track aims to increase our understanding of IS phenomena (Yoo et al., 2010; Kohli & Melville 2019; Hund et al., 2021; Nylén & Holmström, 2015; Svahn et al., 2017; Werder et al., 2020)—such as digital innovation, online reputation, online behavior, or machine-human interactions,— through the application of innovative and computationally intensive methods. We invite scholars to submit their work on innovative research methods, for instance, when applying an innovative method in an existing research challenge, when advancing  computationally intensive methods, or when mixing innovative methods with more traditional techniques.

 

Topics of Interest

Potential topics include, but are not limited to:

• Developing innovative research methods or method combinations
• Measuring online reputation and product innovation using digital trace data
• Using innovative research methods for exploring behavior, affect, and decision making in online innovation communities and digital collectives
• Applying innovative research methods for investigating the use of digital innovation with digital traces
• Predicting innovation outcomes based on machine-human interactions
• Identifying and exploring micro-foundations of digital innovation
• Understanding coordination in digital environments, e.g., through text analytics
• Unpacking the mechanisms of digitization of innovation processes
• Exploring the value captured via digital services and digital innovation
• Quantitative or mixed-methods investigations into the evolution of digital infrastructures and digital innovation

 

Associate Editors

Aron Lindberg, Stevens Institute of Technology, USA

Janek Richter, University of Cologne, Germany

Joern Block, University of Trier, Germany

Keld Pedersen, Aarhus University, Denmark

Mario Schaarschmidt, Newcastle Business School, Northumbria University, United Kingdom

Michal Hron, University of Economics and Business in Prague, Czech Republic

Michela Beretta, Aarhus University, Denmark

Oana Vuculescu, Aarhus University, Denmark

Phil Hennel, University of Bremen, Germany

Susan Hilbolling, Aarhus University, Denmark

Tim Schweisfurth, TU Hamburg-Harburg, Germany

Yao Sun, New Jersey Institute of Technology, USA

Rongen (Sophia) Zhang, Baylor University, USA,

 

References

Belanger, F. & Crossler, R. E. Dealing with digital traces: Understanding protective behaviors on mobile devices Journal of Strategic Information Systems, 2019, 28, 34-49.

Berente, N.; Seidel, S. & Safadi, H. Data-Driven Computationally Intensive Theory Development Information Systems Research, 2019, 30, 50-64.

Hund, A.; Wagner, H.-T.; Beimborn, D. & Weitzel, T. Digital innovation: Review and novel perspective Journal of Strategic Information Systems, 2021, 30, 101695.

Kohli, R. & Melville, N. P. Digital innovation:A review and synthesis Information Systems Journal, 2018, 29, 200-223.

Majchrzak, A.; Malhotra, A. & Zaggl, M. How Open Crowds Self-Organize Academy of Management Discoveries, 2021, 7, 104-129.

Müller, O.; Junglas, I.; vom Brocke, J. & Debortoli, S. Utilizing big data analytics for information systems research: challenges, promises and guidelines European Journal of Information Systems, 2016, 25, 289-302.

Pentland, B. T.; Recker, J.; Wolf, J. R. & Wyner, G. Bringing Context Inside Process Research with Digital Trace Data Journal of the Association for Information Systems, 2020, 21, 1214-1236.

Somanchi, S.; Abbasi, A.; Kelley, K.; Dobolyi, D. & Yuan, T. T. Examining User Heterogeneity in Digital Experiments ACM Transactions on Information Systems, 2023.

Svahn, F.; Mathiassen, L.; Lindgren, R. & Kane, G. C. Mastering the Digital Innovation Challenge MIT Sloan Management Review, 2017, 58, 13-16.

Werder, K.; Seidel, S.; Recker, J.; Berente, N.; Gibbs, J.; Abboud, N. & Benzeghadi, Y. Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation California Management Review, 2020, 62, 86-102.

Yang, Y.; Zhang, K. & Fan, Y. sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics Information Systems Research, 2022

Yoo, Y.; Henfridsson, O. & Lyytinen, K. The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research Information Systems Research, 2010, 21, 724-735.

Zhou, S.; Qiao, Z.; Du, Q.; Wang, G. A.; Fan, W. & Yan, X. Measuring Customer Agility from Online Reviews Using Big Data Text Analytics Journal of Management Information Systems, 2018, 35, 510-539.

Track Chairs

Stefan Morana, Saarland University, Germany, stefan.morana@uni-saarland.de

Marc T. P. Adam, The University of Newcastle, Australia, marc.adam@newcastle.edu.au

Milena Head, McMaster University, Canada, headm@mcmaster.ca

 

Track Description

Information systems (IS) have become a ubiquitous element in private, organizational, and societal contexts. The appropriate design of IS artifacts has been of interest to researchers and practitioners for decades and has become increasingly important, especially since digital technologies have increasingly shaped our everyday lives. Systems engineers must address the design, implementation, and evaluation of novel artifacts so that the resulting digital technologies can be used in meaningful ways. 

Design research in IS is concerned with informing the design of artifacts by establishing and applying (design) theories, exploring and testing models, providing design guidelines, and designing and evaluating computing artifacts. This track stimulates that extends the scientific knowledge base for design research in IS in general and, in particular, co-creation of our digital future with human and machine actors. We seek research that produces design knowledge about computing artifacts for addressing real-world problems, methodological contributions for designing such systems, and knowledge about the implications of specific design elements. We welcome a diversity of submissions focusing on designing, developing, and evaluating artifacts, adding to design research’s theoretical and methodological knowledge base.

 

Topics of Interest

Suggested Topics:

• Behavior design, gamification, and persuasive systems
• Conversational interfaces, chatbots, voice assistants, and digital assistants
• Design processes, principles and evaluation of design, modularity in design in information systems, and theorizing in design science research
• Design science and cross-disciplinary research
• Emerging methods and tools for design science research
• Ethics and legal aspects in design science research
• Considering emotion, flow, and technostress in information systems design
• Using NeuroIS methods and tools for the design of neuroadaptive systems and interfaces
• Participatory design and human-centered design of information systems
• Usability and user experience engineering

 

Associate Editors

Andreas Drechsler, Victoria University of Wellington, New Zealand

Anuja Hariharan, Karlsruhe Institute of Technology, Germany

Benedikt Brendel, Technical University of Dresden, Germany

Debra van der Meer, Florida International University, USA

Eva Bittner, University of Hamburg, Germany

Hannes Rothe, ICN Business School, France

Isabelle Wattiau, ESSEC Business School, France

Ivo Benke, Karlsruhe Institute of Technology, Germany

Lauri Wessel, Europa-Universität Viadrina Frankfurt (Oder), Germany & Norwegian University of Science and Technology (NTNU), Norway

Leona Chandra Kruse, Universität Liechtenstein, Liechtenstein

Mala Kaul, University of Nevada, Reno, USA

Ryan Schuetzler, Brigham Young University, USA

Sofia Schöbel, Universität Osnabrück, Germany

Timm Teubner, TU Berlin, Germany

Tuure Tuunanen,University of Jyväskylä, Finland

Philipp zur Heiden, Paderborn University, Germany

Xuecong (Alex) Lu, University at Albany, USA

Track Chairs

Alexander Richter, Victoria University of Wellington, New Zealand, alex.richter@vuw.ac.nz

Janine Hacker, University of Liechtenstein, Liechtenstein, janine.hacker@uni.li

Matthias Trier, Paderborn University, Germany & Copenhagen Business School, Denmark, trier@upb.de

 

Track Description

Social media have become an integral aspect of the lives of billions of people worldwide. These platforms drive changes in how we build relationships, communicate, collaborate, and exchange goods, services, and information. Aligning with the ECIS conference theme, “People First: Constructing Digital Futures Together,” social media platforms are designed around and for their users.

The pervasive use of social media necessitates a deeper comprehension of its role and long-term effects on digital transformation at individual, organizational, and societal levels. The contributions of digital media are further noticeable in research on virtual worlds, which offer a unique platform for immersive and interactive experiences. Such research can provide insights into the implications of digital transformation on individual, organizational, and societal levels, and can help identify opportunities and challenges for leveraging these technologies. By exploring these topics, we can gain a more nuanced understanding of the social and organizational impacts of digital technologies and develop strategies for leveraging their potential to drive innovation and growth.

This track invites studies that advance our understanding of social media and collaboration tools in transforming work and contributing to future forms of digital work. Regarding submissions related to virtual worlds, we are interested in studies that examine how individuals, groups, or organizations navigate and engage with AR/VR virtual environments or derive value from the metaverse. Studies that take a market or commerce perspective on the metaverse are not in the focus of this track.

We especially encourage research that reaches out beyond IS theories, is grounded in multiple reference disciplines and applies intriguing new perspectives to document and understand the transformational impact of social media and virtual worlds.

 

Topics of Interest

Topics include, but are not limited to:

• Theories on social media and about digital collaboration
• Digital work in and with social media and virtual worlds (e.g. the Metaverse)
• Digital leadership and virtual teams
• Social channels of enterprise knowledge sharing and collaborative work
• Co-existence and interweaving of different online and offline (social) communication networks in companies
• Blurring boundaries of private and business (e.g. Consumerization, Shadow IT)
• Social aspects of novel forms of digital work e.g. hybrid work or work with AI team mates
• Organizational networking with social media and collaboration technologies and related dynamic effects
• User behaviour on social media, collaboration platforms (e.g. co-creation), and in virtual worlds
• Success and “health” of online social communities
• Socialness of and in social media and collaboration platforms
• Development and use of social media analytics
• Digital methods for understanding social media collaboration (e.g. design science approaches, the computational turn; big data methods)
• Critical perspectives on social media (e.g. social and information overload; technostress).
• Societal impact of social media and digital collaboration

 

Associate Editors

Annika Baumann, University Potsdam, Germany & Weizenbaum Institute, Germany

Brad McKenna, University of East Anglia, United Kingdom

Christian Meske, Ruhr-University Bochum, Germany

Daniel Le Roux, Stellenbosch University, South Africa

Douglas A. Parry, Stellenbosch University, South Africa

Emma Forsgren, Leeds University, United Kingdom

Emma Gritt, Leeds University Business School, United Kingdom

Evelyn Ng, University of Sydney, Australia

Helena Vallo Hult, University West, Sweden & NU Hospital Group, Sweden

Joschka Hüllmann, University of Twente, Netherlands

Judith Molka-Danielsen, Molde University College, Norway

Julian Marx, University of Melbourne, Australia

Marc-André Kaufhold, Technical University of Darmstadt, Germany

Mateusz Dolata, University Zurich, Switzerland

Maximilian Förster, University of Ulm, Germany

Michael Leyer, University of Marburg, Germany

Moreen Heine, Universität zu Lübeck, Germany

Oliver Posegga, Universität Bamberg, Germany

Shahper Richter, Victoria University of Wellington, New Zealand

Sherah Kurnia, University of Melbourne, Australia

Stefan Stieglitz, University of Duisburg-Essen, Germany

Stoney Brooks, Middle Tennessee State University, USA

Tim Majchrzak, University of Adger, Norway

Weifang Wu, Copenhagen Business School, Denmark

Yulia Litvinova, Max Planck Institute for Intelligent Systems, Germany

Marlen Rimbeck, TU Bergakademie Freiberg, Germany

Maura Soekijad, Vrije Universiteit Amsterdam, the Netherlands

Welf Weiger, Alfaisal University, Saudi Arabia

Track Chairs

Dirk S. Hovorka, University of Sydney, Australia, Dirk.hovorka@sydney.edu.au

Benjamin Mueller, University of Bremen, Germany, muellerb@uni-bremen.de

Emmanuelle Vaast, McGill University, Canada, emmanuelle.vaast@mcgill.ca

 

Track Description

Research on the development, deployment and expansion of digital systems is frequently presented in a dichotomous manner: Some research sets expectations of optimistic instrumentalism in which we can create and manage a sustainable technological future; alternatively, more negative “dark side” research verges on dystopian expectations of technology run amok resulting in personal, societal and environmental distress. But these related accounts of the consequences of digitalization in the future are largely based on extrapolation of the past/present into a singular undifferentiated future (Son, 2015; Urry, 2016). If we are to envision the complexity of digital possibilities, we must first recognize the multiplicity of futures. This in turn requires that we loosen our grasp of empiricism and broaden our relationship to futures (Hovorka & Peter, 2021b). To explore, conceptualize and create the post-digital worlds in which digital technologies are ordinary, ubiquitous and are part of the everyday background (Dourish & Bell, 2011; Mueller et al., 2021), we must take futures seriously, on their own terms.

This track seeks well-grounded research which will help researchers build novel concepts (Frank, 2009) and instruments (Peter et al., 2020; Slaughter, 2004; Tonkinwise, 2014) to foray into futures as a site of inquiry. This is a necessary step in generating forward-looking theory that will enable society to recognize and perhaps to construct digital futures and to act appropriately when precautions warrant intervention (Markus & Mentzer, 2014). The focus is not on making predictions or preparing for the “arrival of the future” but in using futures-thinking to better understand the implications of our current research and prepare researchers and practitioners to recognize novel and unprecedented phenomena in the production of futures (e.g. Zuboff, 2019).

Exciting submissions will approach this challenge through conceptual, theoretical or methodological contributions. A wide range of futures studies approaches are under-utilized in information systems research (Markus & Mentzer, 2014; Slaughter, 2021) and extending these into new realms is welcomed. Papers which contribute forward-looking theory or methods that rethink the processes of theory formulation, theory replacement, or theory envisioning are invited. These include modeling of societal-environmental-political impacts and consequences of technology-at-scale.

Also of particular interest are papers that present speculative or creative processes (Hovorka & Peter, 2021a; Jasanoff & Kim, 2015) addressing specific methodological setups for engaging with post-digital futures; philosophical grounding of the past-present-future (Chiasson et al., 2018); future technology ethics (Jasanoff, 2016); or design activities engaging those with a stake in the future (Candy & Kornet, 2019; Dunne & Raby, 2013; Wilkie et al., 2017; Wilson, 2009). Papers that use futures themselves as a site of inquiry to inform present research and action have a great potential of being considered for our track’s desired program.

 

Topics of Interest

Possible topics include but are not restricted to:

• Researching futures to inform present research
• Anthropologic, ethnographic or speculative design approaches
• Ethical futures: what do we own the future?
• Beyond digital trajectories: Modeling future worlds
• Precautionary principles: guardrails for dual-use technologies?
• Socio-technical construction of the future
• Utopias, dystopias and SF as speculative science
• Non-empirical approaches to knowledge
• Bridging epistemic distance
• Digital Transformation in a digital world
• Reconceptualizing the organization

 

Associate Editors

Arto Lanamaki, University of Oulu, Finland

Bernd-Carsten Stahl  , De Montfort University, United Kingdom

Donncha Kavanagh, University College Dublin, Ireland

Elizabeth Davidson, University of Hawaii, USA

Fred Niederman, St Louis University, MO, USA

Julian Prester, University of Sydney, Australia

Kai Riemer, University of Sydney, Australia

Katja Thoring, Technical University of Munich, Germany

Mads Bodker, Copenhagen Business School, Denmark

Omar El Sawy, University of Southern California, USA

Pernille Ryden, IT University of Copenhagen, Denmark

Roland Mueller, Berlin School of Economics and Law, Germany

Sandra Peter, University of Sydney, Australia

Stig Strandbæk Nyman, Copenhagen Business School, Denmark

 

References

Candy, S., & Kornet, K. (2019). Turning foresight inside out: An introduction to ethnographic experiential futures. Journal of Futures Studies, 23(3), 3-22.

Chiasson, M., Davidson, E., & Winter, J. (2018). Philosophical foundations for informing the future(s) through IS research. European Journal of Information Systems, 27(3), 367-379.

Dourish, P., & Bell, G. (2011). Divining a digital future: Mess and mythology in ubiquitous computing. Mit Press.

Dunne, A., & Raby, F. (2013). Speculative everything: design, fiction, and social dreaming. MIT Press.

Frank, U. (2009). The construction of possible worlds as an opportunity and challenge for business informatics. In J. Becker, H. Krcmar, & B. Niehaves (Eds.), Theory of Science and Design-Oriented Information Systems (pp. 167-180). Physica-Verlag.

Hovorka, D. S., & Peter, S. (2021a). Research Perspectives: From Other Worlds: Speculative Engagement Through Digital Geographies. Journal of the Association for Information Systems, 22(6), 1736-1752.

Hovorka, D. S., & Peter, S. (2021b). Speculatively Engaging Future(s): Four Theses. Management Information Systems Quarterly, 45(1), 461-466.

Jasanoff, S. (2016). The Ethics of Invention: Technology and the Human Future. WW Norton & Company.

Jasanoff, S., & Kim, S. H. (2015). Dreamscapes of modernity: Sociotechnical imaginaries and the fabrication of power. University of Chicago Press.

Markus, M. L., & Mentzer, K. (2014). Foresight for a responsible future with ICT. Information Systems Frontiers, 16(3), 353-368.

Mueller, B., Diefenbach, S., Dobusch, L., & Baer, K. (2021). From Becoming to Being Digital. i-com, 20(3), 319-328.

Peter, S., Riemer, K., & Hovorka, D. S. (2020). Artefacts from the Future – Engaging Audiences in Possible Futures with Emerging Technologies for Better Outcomes Twenty-Eighth European Conference on Information Systems, Marrakesh, Morocco.

Slaughter, R. (2004). Futures beyond dystopia: Creating social foresight. Psychology Press.

Slaughter, R. A. (2021). Stumbling towards the light: Four decades of a life in futures. Futures, 132, 102794.

Son, H. (2015). The history of Western futures studies: An exploration of the intellectual traditions and three-phase periodization. Futures, 66, 120-137.

Tonkinwise, C. (2014). How We Intend to Future: Review of Anthony Dunne and Fiona Raby, Speculative Everything: Design, Fiction, and Social Dreaming. Design Philosophy Papers, 12(2), 169-187.

Urry, J. (2016). What is the Future? John Wiley & Sons.

Wilkie, A., Savransky, M., & Rosengarten, M. (2017). Speculative Research: The lure of possible futures. Routledge.

Wilson, M. W. (2009). Cyborg geographies: towards hybrid epistemologies. Gender, Place and Culture, 16(5), 499-516.

Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Profile Books.