Managing academics is like herding cats
this IS research
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 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...
info_outline
When you watch Tik Tok, your maturity in the academic enterprise is zero
this IS research
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....
info_outline
Data is the fuel that sets innovation on fire
this IS research
Most think that algorithms are the modern root cause of innovations. But says not only are organizations today powered by data, they innovate through data. With several other colleagues, Marta is bringing data studies back to the forefront of information systems research. She produces workshops, a forthcoming book, and an online bibliography with seminal readings. We talk to Marta about the relationship between data and meaning, representation versus innovation, and whether we all soon live in a hyperreality created through synthetic data that lost all connection to the real-world. Episode...
info_outline
If you’re writing a paper about AI you are not allowed to talk about AI
this IS research
When we discuss artificial intelligence, what metaphors do we use to illustrate what we mean? Is artificial intelligence some sort of robot—like Ultron—or is it an organism—like a beehive? What happens to our expectations, our thinking, and our conclusions when we change these metaphors, say, from an entitative metaphor (say, an agent) to a relational metaphor (say, belonging to our work network)? We discuss these points with and who wrote a very interesting paper on how management scholars think about artificial intelligence. Episode reading list Ramaul, L., Ritala, P.,...
info_outline
Nick’s rules for a good PhD education
this IS research
We are together in South Bend and teach a class to PhD students in the Mendoza College of Business at the University of Notre Dame. Our joint teaching experience makes us wonder: What should all doctoral students learn or what should we all teach the next generation of IS students? We come up with Nick’s rules for a good PhD education: First, understand what knowledge and inferences are. Second, learn different methods and then deep dive into a primary method. Third, pick a domain and learn its foundations and history. Fourth, develop a mindset of mastery to become the world’s expert on...
info_outline
Should all qualitative researchers use LLMs?
this IS research
One of the big topics at the conference this summer was the use of large language models in the research process, especially in qualitative studies. We expand this discussion by asking: can qualitative research be automated—or augmented? Yes and no. Some of the advantages LLMs bring to the table are hard to ignore. LLMs can act as critical reviewers, as a consistency checker, as a provider of alternative perspectives on unstructured data, or to break path dependencies in the process of data analysis. They can also help find interesting outcomes that qualitative insights could explain. At...
info_outline
Cognitive conflict, courage, humility, and respect: Ingredients for a productive academic discourse
this IS research
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 in beautiful Copenhagen, made possible through a generous invite from 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...
info_outline
Elitism, conflicts of interest, and collusion in the information systems field?
this IS research
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...
info_outline
The great debate
this IS research
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 () and one of the best qualitative scholars we know () to fight this debate on air and come up with their very own end-of-all arguments. The result? It may surprise you:...
info_outline
Ask us anything - Part Two
this IS research
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: ...
info_outlineIs there a formula for doing and publishing research on digital phenomena? And if so, it is the same formula as the scripts for IS papers of the past, or has it changed? We discuss how our field has historically worked with reference theories from other disciplines and how we have moved beyond this one way of doing and publishing research to a variety of ways in which we can build theory about digital phenomena. We suggest that reference theories should not be viewed as immutable sacred cows but rather as a tentative basis of received wisdom, which we must problematize and adapt to move knowledge forward. Doing so requires us to find puzzles in the real world that point to things being different instead of new.
Episode reading list
Truex, D. P., Holmström, J., & Keil, M. (2006). Theorizing in Information Systems Research: A Reflexive Analysis of the Adaptation of Theory in Information Systems Research. Journal of the Association for Information Systems, 7(12), 797-821.
Grover, V., & Lyytinen, K. (2015). New State of Play in Information Systems Research: The Push to the Edges. MIS Quarterly, 39(2), 271-296.
Ba, S., & Pavlou, P. A. (2002). Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior. MIS Quarterly, 26(3), 243-268.
Jiang, L., Hou, J., Ma, X., & Pavlou, P. A. (2025). Punished for Success? A Natural Experiment of Displaying Clinical Hospital Quality on Review Platforms. Information Systems Research, https://doi.org/10.1287/isre.2021.0630.
Grover, V., & Lyytinen, K. (2023). The Pursuit of Innovative Theory in the Digital Age. Journal of Information Technology, 38(1), 45-59.
Baiyere, A., Berente, N., & Avital, M. (2023). On Digital Theorizing, Clickbait Research, and the Cumulative Tradition. Journal of Information Technology, 38(1), 67-73.
Grisold, T., Kremser, W., Mendling, J., Recker, J., vom Brocke, J., & Wurm, B. (2023). Keeping Pace with the Digital Age: Envisioning Information Systems Research as a Platform. Journal of Information Technology, 38(1), 60-66.
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433-1450.
Dell'Acqua, F., McFowland, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper 24-013.
Fisher, G., Mayer, K. J., & Morris, S. (2021). From the Editors—Phenomenon-Based Theorizing. Academy of Management Review, 46(4), 631-639.
Gregory, R. W., & Henfridsson, O. (2021). Bridging Art and Science: Phenomenon-Driven Theorizing. Journal of the Association for Information Systems, 22(6), 1509-1523.
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
Salge, C. A. D. L., & Karahanna, E. (2018). Protesting Corruption on Twitter: Is It a Bot or Is It a Person. Academy of Management Discoveries, 4(1), 32-49.
Abramova, O., Recker, J., Schemm, U., & Barwitzki, L.-D. (2025). Inclusion of Autistic IT Workforce in Action: An Auticon Approach. Information Systems Journal, https://doi.org/10.1111/isj.12588.
Grisold, T., Seidel, S., Heck, M., & Berente, N. (2024). Digital Surveillance in Organizations. Business & Information Systems Engineering, 66(3), 401-410.
Dwivedi, Y. K., Kshetri, N., ... 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.