It only took us five years but we finally got Stefan Seidel on the podcast. We have been talking about him and his scholarship for a while. Today we finally get to ask him about his recent technology regulation paper, his view on grounded theorizing in information systems, his forthcoming special issue on Ethics, Regulation, and Policy that will start processing submissions in late 2026--and his bet with Nick Berente about who wins the race to 8000 citations.

Episode reading list

Seidel, S., Frick, C. J., & vom Brocke, J. (2025). Regulating Emerging Technologies: Prospective Sensemaking through Abstraction and Elaboration. MIS Quarterly, 49(1), 179-204.

Recker, J., Zeiss, R., & Mueller, M. (2024). iRepair or I Repair? A Dialectical Process Analysis of Control Enactment on the iPhone Repair Aftermarket. MIS Quarterly, 48(1), 321-346.

Seidel, S., & Urquhart, C. (2013). On Emergence and Forcing in Information Systems Grounded Theory Studies: The Case of Strauss and Corbin. Journal of Information Technology, 28(3), 237-260.

Strauss, A. L., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage.

Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Publishing Company.

Seidel, S., Berente, N., Guo, H., Oh, W. (2026): Ethics, Regulation, and Policy: The Challenge to Institutions in the Digital Age. MIS Quarterly Special Issue, submissions due November 2026.

Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organizational Research Methods, 16(1), 15-31.

Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433-1450.

Butler, T., Gozman, D., & Lyytinen, K. (2023). The Regulation of and Through Information Technology: Towards a Conceptual Ontology for IS Research. Journal of Information Technology, 38(2), 86-107

Gümüsay, A. A., & Reinecke, J. (2024). Imagining Desirable Futures: A Call for Prospective Theorizing with Speculative Rigour. Organization Theory, 5(1), https://doi.org/10.1177/26317877241235939.

Grisold, T., Berente, N., & Seidel, S. (2025). Guardrails for Human-AI Ecologies: A Design Theory for Managing Norm-Based Coordination. MIS Quarterly, 49(4), 1239-1266.

Seidel, S., Recker, J., & vom Brocke, J. (2013). Sensemaking and Sustainable Practicing: Functional Affordances of Information Systems in Green Transformations. MIS Quarterly, 37(4), 1275-1299.

Some academics go into the office every day; some are rarely ever seen on campus. Is one way better than the other? Who better to ask than the brilliant Ella Hafermalz who spent her career on the topic of remote work and its implications for belonging, community, collaboration, and performance. She points out that academia has always been a distributed and flexible profession. Researchers need flexibility and freedom to figure out their own best way of solving problems and doing their work, some of which may mean sitting at a desk, but maybe also involve lab or field work. On the other hand, pure freedom for individual academics makes a university nothing more than a collection of hired guns without a true community. How do we find the best balance and what is a good balance to begin with?

Episode reading list

Chang, S. (2025): China's unemployed young adults who are pretending to have jobs. BBC News, 11 August 2025, https://www.bbc.com/news/articles/cdd3ep76g3go.

Hafermalz, E., & Riemer, K. (2021). Productive and Connected While Working from Home: What Client-facing Remote Workers can Learn from Telenurses about 'Belonging Through Technology'. European Journal of Information Systems, 30(1), 89-99.

Huysman, M. (2025). Studying AI in the Wild: Reflections from the AI@Work Research Group. Journal of Management Studies, https://doi.org/10.1111/joms.70021.

The Professor and the Madman. https://www.imdb.com/title/tt5932728/.

Hafermalz, E. (2021). Out of the Panopticon and into Exile: Visibility and Control in Distributed New Culture Organizations. Organization Studies, 42(5), 697–717.

Rovelli, C. (2022). Helgoland: The Strange and Beautiful Story of Quantum Physics. Penguin Books.

Carroll, S. (2019). Something Deeply Hidden: Quantum Worlds and the Emergence of Spacetime. Dutton.

Sting, F. J., Tarakci, M., & Recker, J. (2024). Performance Implications of Digital Disruption in Strategic Competition. MIS Quarterly, 48(3), 1263-1278.

Archive.org: Philosophy 185 Heidegger: Lectures from the course Philosophy 185 Heidegger by Hubert Dreyfus. https://fourble.co.uk/podcast/philosophy185heidegger.

Baudrillard, J. (1981). Simulacra and Simulation. University of Michigan Press.

Retkowsky, J., Hafermalz, E., & Huysman, M. (2024). Managing a ChatGPT-empowered Workforce: Understanding its Affordances and Side Effects. Business Horizons, 67(5), 511-523.

Haubrich, G. F., Soekijad, M., & Hafermalz, E. (2025). 'What's Up with Work?'Bringing Screens into a Theory of Hybrid Working Situations. Academy of Management Annual Meeting Proceedings, https://doi.org/10.5465/AMPROC.2025.10670abstract.

Tekeste, M. (2025). Under Pressure: Becoming the Good Enough Academic. Organization, https://doi.org/10.1177/13505084251383285.

LinkedIn Community: The Digital Visibility Group: https://www.linkedin.com/groups/13346086/.

A key problem in empirically oriented research, especially inductive and abductive work, is figuring out which theoretical lens or scaffold to apply to uncover novel insights. In other words, which theory should you use? We discuss a few heuristics scholars can draw on to reach a higher level of scholarly maturity, namely disposition, empirical salience, outcome definition, skepticism, and reflexivity.

Episode reading list

Recker, J. (2021). Scientific Research in Information Systems: A Beginner's Guide (2nd ed.). Springer.

Quine, W. V. O. (1961). Two Dogmas of Empiricism. In W. V. O. Quine (Ed.), From a Logical Point of View (pp. 20-46). Cambridge University Press.

Duhem, P. (1998). Physical Theory and Experiment. In M. Curd & J. A. Cover (Eds.), Philosophy of Science: The Central Issues (pp. 257-279). Norton.

Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.

Glikson, E., & Woolley, A. W. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals, 14(2), 627-660.

Recker, J., Zeiss, R., & Mueller, M. (2024). iRepair or I Repair? A Dialectical Process Analysis of Control Enactment on the iPhone Repair Aftermarket. MIS Quarterly, 48(1), 321-346.

Kotter, J. P. (1996). Leading Change. Harvard Business School Press.

Kerr, N. L. (1998). HARKing: Hypothesizing After the Results are Known. Personality and Social Psychology Review, 2(3), 196-217.

Lindberg, A., Berente, N., Howison, J., & Lyytinen, K. (2024). Discursive Modulation in Open Source Software: How Communities Shape Novelty and Complexity. MIS Quarterly, 48(4), 1395-1422.

Lindberg, A., Berente, N., Gaskin, J., & Lyytinen, K. (2016). Coordinating Interdependencies in Online Communities: A Study of an Open Source Software Project. Information Systems Research, 27(4), 751-772.

Chandar, B. (2025): AI and Labor Markets: What We Know and Don't Know. https://digitaleconomy.stanford.edu/news/ai-and-labor-markets-what-we-know-and-dont-know/.