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.