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Is hunting journal articles making us miss the boat of big ideas?

this IS research

Release Date: 02/19/2025

Managing academics is like herding cats show art 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...

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When you watch Tik Tok, your maturity in the academic enterprise is zero show art 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....

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Data is the fuel that sets innovation on fire show art 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...

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If you’re writing a paper about AI you are not allowed to talk about AI show art 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.,...

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Nick’s rules for a good PhD education show art 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...

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Should all qualitative researchers use LLMs? show art 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...

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Cognitive conflict, courage, humility, and respect: Ingredients for a productive academic discourse show art 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...

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Elitism, conflicts of interest, and collusion in the information systems field? show art 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...

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The great debate show art 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:...

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Ask us anything - Part Two show art 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: ...

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More Episodes

Is the journal publishing process and the “game” around journal publishing forcing us to give up on big ideas and instead work on small ideas about trivial matters? We are not so sure. We think that science needs many different types of academics, and they have all sorts of different ideas, big and small, and we need outlets for expressing every single one of them. But outlets, like ideas, are not all equal. Journals are an incremental genre leaning toward rigor and thus risk type-2 errors. Book are an expansive genre learning towards big ideas – and thus risk type-1 errors. So the question is rather what type of scholar you are and whether you can handle the very different processes and mechanisms – those associated with big ideas that take a long time to develop, versus the production of smaller ideas and insights that incrementally push our knowledge forward.

References

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Bechky, B. A., & Davis, G. F. (2025). Resisting the Algorithmic Management of Science: Craft and Community After Generative AI. Administrative Science Quarterly, 70(1), 1-22.

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Safadi, H., Lalor, J. P., & Berente, N. (2024). The Effect of Bots on Human Interaction in Online Communities. MIS Quarterly, 48(3), 1279-1296.

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Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of Business Process Management (2nd ed.). Springer.

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