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Professors Nick Berente from the University of Notre Dame and Jan Recker from the University of Hamburg talk about current and persistent topics in information systems research, a field that explores how digital technologies change business and society.

Podcast · By Nick Berente and Jan Recker · English · Official site

Indexed episodes, last 90 days
3
Latest publication
Sep 22, 2026
Audience
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Earliest in this view
Aug 25, 2026

Latest episodes

  1. Episode · Sep 22, 2026

    Welcome, AI Reviewer Two (opens the original)

    Episode notes

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    We all know about the infamous reviewer two. They are late with their reviews, read our paper only halfway, unduly criticize our work, and make us cite their own mediocre work. What if we replaced reviewer two with an AI reviewer? They could be more friendly, developmental, consistent, knowledgeable, timely… and would take an enormous amount of service work off our shoulders. At ICIS2026 and ECIS2027, such an AI reviewer is being trialed already – would it not be timely to see how this technolog

  2. Episode · Sep 8, 2026

    The dawn of the age of autonomous scholarship (opens the original)

    Episode notes · Neutral tone

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    In information systems, we saw the rise of qualitative scholarship in the 1990s. In the 2000s, we saw the rise of analytics in research, fueled by the emergence of big data. In the 2010s, we saw the rise of econometric methods, diff-in-diff designs, and field experiments. What is next? Autonomous scholarship, fueled by AI agents that get infused into research processes. We are the cusp of this new era and are beginning to experiment and trial how research might look like going forward. We discus

  3. Episode · Aug 25, 2026

    Summertime, revision time (opens the original)

    Episode notes

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    While Jan vacated his desk and took some weeks off in the summer, Nick has been busy working on paper revisions. Time to figure out how to handle the review and process. When is it okay to approach editors about a paper under review? Should you write the response before or after you revised the paper? When can you push back against a reviewer suggestion? Do you always have to get new data if reviewers ask you? How about contacting the editor in between review rounds to approve your approach? Tun

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