A new season of podcast episodes is starting and what better place to kick it off as the world’s largest business and management conference. We are recording this episode at AOM 2025 in beautiful Copenhagen, made possible through a generous invite from Attila Marton from CBS who organized a recording studio for us. Being here amid symposia, professional development workshops, panels, and paper presentations makes us wonder: what does it take to produce great, stimulating, and productive academic discourse? Does it depend on the people that get invited to speak, is it about their ideas, or what else? We sit down with our friend Philip Hukal with whom we share some stories from the events we’ve attended at AOM and we distil a few rules that characterize good intellectual debate: let there be cognitive conflict about the merit of ideas, be bold enough to propose new ideas, show humility for the craft and work of others, and be respectful to your colleagues.

Episode reading list

Kulkarni, M., Mantere, S., Vaara, E., van den Broek, E., Pachidi, S., Glaser, V. L., Gehman, J., Petriglieri, G., Lindebaum, D., Cameron, L. D., Rahman, H. A., Islam, G., & Greenwood, M. (2024). The Future of Research in an Artificial Intelligence-Driven World. Journal of Management Inquiry, 33(3), 207-229.

Brynjolfsson, E., Collis, A., Diewert, W. E., Eggers, F., & Fox, K. J. (2025). GDP-B: Accounting for the Value of New and Free Goods. American Economic Journal: Macroeconomics, https://doi.org/10.1257/mac.20210319.

Stelmaszak, M., Wagner, E., & DuPont, N. N. (2024). Recognition in Personal Data: Data Warping, Recognition Concessions, and Social Justice. MIS Quarterly, 48(4), 1611-1636.

Habermas, J. (1984). Theory of Communicative Action, Volume 1: Reason and the Rationalization of Society. Heinemann.

Lehmann, J., Hukal, P., Recker, J., & Tumbas, S. (2025). Layering the Architecture of Digital Product Innovations: Firmware and Adapter Layers. Journal of the Association for Information Systems, 26, https://doi.org/10.17705/1jais.00956.

Is there collusion in our field? Do we have elites running wild, making sure that their work gets published whilst the rest of us struggles to find room to publish our own work? And are we handling conflicts of interest that may exist between authors and the editors who are charged with making decisions about their work? These are serious questions. They target the core of our field, they have the potential to undermine – or bolster – the legitimacy of all our scholarship, and they pose serious material consequences for all scholars, their careers and ultimately their lives. We came across a new paper that reports an analysis of the potential conflict of interest issues in academic publishing, and we use this paper to reflect on our experiences as both authors and editors. We try to draw a few conclusions and recommendations about how we can raise awareness and build institutional trust to minimize if not avoid any questionable or outright unethical practices in publishing.

Episode reading list

Association for Information Systems. AIS Podcast Library, https://aisnet.org/page/aispodcast.

Mindel, V., & Ciriello, R. (2025). Safeguarding Academic Legitimacy: Editorial Conflicts of Interest as a Principal-Agent Problem in Elite Business Journals. SSRN, https://ssrn.com/abstract=5315585.

Recker, J., Rosemann, M., Green, P., & Indulska, M. (2011). Do Ontological Deficiencies in Modeling Grammars Matter? MIS Quarterly, 35(1), 57-79.

Lee, J., & Berente, N. (2012). Digital Innovation and the Division of Innovative Labor: Digital Controls in the Automotive Industry. Organization Science, 23(5), 1428-1447.

Kane, G. C., Young, A., Majchrzak, A., & Ransbotham, S. (2021). Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory Assistants. MIS Quarterly, 45(1), 371-396.

Grisold, T., Berente, N., & Seidel, S. (2025). Guardrails for Human-AI Ecologies: A Design Theory for Managing Norm-Based Coordination. MIS Quarterly, https://doi.org/10.25300/MISQ/2025/18058.

Boh, W., Melville, N. P., Baptista, J., Chasin, F., Horita, F., Ixmeier, A., Johnson, S. L., Ketter, W., Kranz, J., Miranda, S. M., Nan, N., Pentland, B. T., Recker, J., Sadeghi, S., Sarker, S., Sarker, S., Sutanto, J., Wang, P., & Wilopo, W. (2025). Digital Resilience for the Climate Crisis: Theoretical Perspectives and Ideas for Future Information Systems Research. MIS Quarterly, forthcoming.

Merton, R. K. (1968). The Matthew Effect in Science. Science, 159(3810), 56-63.

Tiwana, A., & Safadi, H. (2025). Silence Inside Systems: Roots and Generativity Consequences. Information Systems Research, https://doi.org/10.1287/isre.2022.0586.

Li, J., Li, M., Wang, X., & Thatcher, J. B. (2021). Strategic Directions for AI: The Role of CIOs and Boards of Directors. MIS Quarterly, 45(3), 1603-1643.

Pienta, D., Vishwamitra, N., Somanchi, S., Berente, N., & Thatcher, J. B. (2025). Do Crowds Validate False Data? Systematic Distortion and Affective Polarization. MIS Quarterly, 49(1), 347-366.

Which research methods are better, quantitative or qualitative? What is more important, getting a richer picture of what goes on in organizations, or seeking generalizable insights about causality? This debate has raged at the very least since Glaser and Strauss popularized the grounded theory method in the mid twentieth century. In 2025, we want to put this debate to rest. We asked one of the best econometric scholars we know (Brad Greenwood) and one of the best qualitative scholars we know (Youngjin Yoo) to fight this debate on air and come up with their very own end-of-all arguments. The result? It may surprise you: We all ought to get mad.

Episode reading list

Chang, H. (2008). Inventing Temperature: Measurement and Scientific Progress. Oxford University Press.

Burtch, G., Carnahan, S., & Greenwood, B. N. (2018). Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity. Management Science, 64(12), 5497-5520.

Greenwood, B. N., Kobayashi, B. H., & Starr, E. P. (2025). Can You Keep a Secret? Banning Noncompetes Does Not Increase Trade Secret Litigation. SSRN, https://ssrn.com/abstract=4771171.

Kraemer, K. L., Dickhoven, S., Tierney, S. F., & King, J. L. (1987). Datawars: The Politics of Modeling in Federal Policymaking. Columbia University Press.

Roth, J., Sant'Anna, P. H. C., Bilinski, A., & Poe, J. (2023). What’s Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature. Journal of Econometrics, 235(2), 2218-2244.

Matherly, T., & Greenwood, B. N. (2024). No News is Bad News: The Internet, Corruption, and the Decline of the Fourth Estate. MIS Quarterly, 48(2), 699-714.

Levitt, S. D., & Dubner, S. J. (2005). Freakonomics: A Rogue Economist Explores the Hidden Side of Everything. William Morrow.

Greenwood, B. N., & Wattal, S. (2017). Show Me the Way to Go Home: An Empirical Investigation of Ride-Sharing and Alcohol Related Motor Vehicle Fatalities. MIS Quarterly, 41(1), 163-187.

King, A. A. (2025). Does Corporate Social Responsibility Increase Access to Finance? A Commentary on Cheng, Ioannou, and Serafeim (2014). Strategic Management Journal, forthcoming. https://doi.org/10.2139/ssrn.4647425.

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

Pentland, B. T. (1999). Building Process Theory with Narrative: From Description to Explanation. Academy of Management Review, 24(4), 711-725.

Lee, J., & Berente, N. (2013). The Era of Incremental Change in the Technology Innovation Life Cycle: An Analysis of the Automotive Emission Control Industry. Research Policy, 42(8), 1469-1481.

Anderson, P., & Tushman, M. L. (1998). Technological Discontinuities and Dominant Designs: A Cyclical Model of Technological Change. Administrative Science Quarterly, 35(4), 604-633.

Brynjolfsson, E., & Hitt, L. M. (1996). Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending. Management Science, 42(4), 541-558.

Noe, R. (2025). Moral Incoherence During Category Emergence: The Contentious Case of Connected Toys. Harvard Business School Working Paper, 24-071, https://www.hbs.edu/faculty/Pages/item.aspx?num=65988.

We continue with our special “Ask us anything” episode to celebrate the centenary of the This IS Research podcast. This time, we handle questions such as “do we have to worry about ontology?" - No; "should we engage in community building?" Yes; and “what have you learned from the podcast?” A whole lot - and we hope you have learned a thing or two along the way as well.

Episode reading list

Meyer, J. W., & Rowan, B. (1977). Institutionalized Organizations: Formal Structure as Myth and Ceremony. American Journal of Sociology, 83(2), 340-363.

James, W. (1907). Pragmatism: A New Name for Some Old Ways of Thinking. Hackett Publishing.

Gal, U., Berente, N., & Chasin, F. (2022). Technology Lifecycles and Digital Innovation: Patterns of Discourse Across Levels of Abstraction: A Study of Wikipedia Articles. Journal of the Association for Information Systems, 23(5), 1102-1149.

Faik, I., Barrett, M., & Oborn, E. (2020). How Information Technology Matters in Societal Change: An Affordance-Based Institutional Perspective. MIS Quarterly, 44(3), 1359-1390.

Leonardi, P. M. (2010). Digital Materiality? How Artifacts Without Matter, Matter. First Monday, 15(6), https://doi.org/10.5210/fm.v15i6.3036.

Goebeler, L., Hukal, P., & Xiao, X. (2024). Four Roles of Physicality in Digital Innovation: A Theoretical Review. Journal of Strategic Information Systems, 33(4), 101862.

Faulkner, P., & Runde, J. (2019). Theorizing the Digital Object. MIS Quarterly, 43(4), 1279-1302.

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., . . . Wright, R. T. (2023). "So what if ChatGPT wrote it?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71, 102642.

We have an anniversary to celebrate: one hundred episodes of the This IS Research podcast. We mark the occasion by answering questions we received from our audience: Which bear is the best, who likes a hug more... and what advice would we give about starting as an assistant professor, pivoting your research, and what books to read. All this and much more in part one of our “ask us anything” episode.

Episode reading list

Fort, T. (2003). The Book of Eels. HarperCollins.

Nazar, S. (1999). A Beautiful Mind. Simon & Schuster.

Frankl, V. E. (1946). Man’s Search for Meaning. Beacon Press.

Ashby, W. R. (1956). An Introduction to Cybernetics. Chapman & Hall.

Card, O. S. (1985). Ender’s Game. Tor Books.

Beer, S. (1974). Designing Freedom. CBC Learning Systems.

Simon, H. A. (1947). Administrative Behavior: a Study of Decision-Making Processes in Administrative Organization. Macmillan.

Newell, A., & Simon, H. A. (1972). Human Problem Solving. Prentice-Hall.

March, J. G., & Simon, H. A. (1958). Organizations. John Wiley & Sons.

Urquhart, C., Berente, N., Recker, J. (2021). Naughty Grounded Theory. This IS Research podcast episode, 22 December 2021.

Zwass, V., Berente, N., Recker, J. (2023). Never create a journal unless it is JMIS. This IS Research podcast episode, 31 May 2023.

Berente, N., Recker, J. (2022). Why we love what we do. This IS Research podcast episode, 18 May 2022.

Jason Thatcher is back on the show and he is bringing decades of experiences as a journal editor. So we decided we play a game of round robin where each of us is giving rules of what to do (or not to do) as an editor. How long can we sit on papers before we make decisions? On what basis should we offer revise and resubmit decisions? When is it okay to desk reject a paper? How many reviews are enough? So if you want to learn more about the different editorial superhuman powers and supervillain powers – this is your episode.

Episode reading list

Recker, J. (2020). Reflections of a Retiring Editor-in-Chief. Communications of the Association for Information Systems, 46(32), 751-761.

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

Li, J., Li, M., Wang, X., & Thatcher, J. B. (2021). Strategic Directions for AI: The Role of CIOs and Boards of Directors. MIS Quarterly, 45(3), 1603-1643.

Grisold, T., Berente, N., & Seidel, S. (2025). Guardrails for Human-AI Ecologies: A Design Theory for Managing Norm-Based Coordination. MIS Quarterly, 45, forthcoming.

Davis, J. L. (2020). How Artifacts Afford: The Power and Politics of Everyday Things. MIT Press.

Majchrzak, A., & Malhotra, A. (2019). Unleashing the Crowd: Collaborative Solutions to Wicked Business and Societal Problems. Springer.

Gaskin, J., Berente, N., Lyytinen, K., & Yoo, Y. (2014). Toward Generalizable Sociomaterial Inquiry: A Computational Approach for Zooming In and Out of Sociomaterial Routines. MIS Quarterly, 38(3), 849-871.

Teodorescu, M., Morse, L., Awwad, Y., & Kane, G. C. (2021). Failures of Fairness in Automation Require a Deeper Understanding of Human–ML Augmentation. MIS Quarterly, 45(3), 1483-1499.

Lee, J., & Berente, N. (2012). Digital Innovation and the Division of Innovative Labor: Digital Controls in the Automotive Industry. Organization Science, 23(5), 1428-1447.

Berente, N., Salge, C. A. D. L., Mallampalli, V. K. T., & Park, K. (2022). Rethinking Project Escalation: An Institutional Perspective on the Persistence of Failing Large-Scale Information System Projects. Journal of Management Information Systems, 39(3), 640-672.

Is it okay to use large language models in the research process? For what task, exactly, and to automate the task or to augment the researcher? In this episode, we try to explore whether and how LLMs could be used in five aspects of the research process - for paper writing, reviewing, data analysis, as a subject of research, or as a surrogate for research subjects. We also discuss whether they should be used at all, and what some long-term consequences could be of such a choice, and we develop a number of heuristic rules to help researcher make decisions about using LLMs for research.

Episode reading list

Kankanhalli, A. (2024). Peer Review in the Age of Generative AI. Journal of the Association for Information Systems, 25(1), 76-84.

Yang, Y., Duan, H., Liu, J., & Tam, K. Y. (2024). LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research. arXiv preprint, https://arxiv.org/abs/2504.02234v1.

Li, J., Larsen, K. R. T., & Abbasi, A. (2020). TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning. MIS Quarterly, 44(4), 1733-1772.

Larsen, K. R., Yan, S., & Lukyanenko, R. (2024). LLMs and Psychometrics: Global Construct Validity Integrating LLMs and Psychometrics. 45th International Conference on Information Systems, Bangkok, Thailand.

Anthis, J. R., Liu, R., Richardson, S. M., Kozlowski, A. C., Koch, B., Evans, J., Brynjolfsson, E., & Bernstein, M. (2025). LLM Social Simulations Are a Promising Research Method. arXiv preprint, https://arxiv.org/abs/2504.02234.

Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49(1), 1-28.