EVERY STUDY IS A CASE STUDY (20 March 2024)

Description

Jan has a boy crush on IS Econ researchers while Nick thinks they reduce all phenomena to regressions. Time to put both myths – and a few others – to rest. We brought on the inimitable and wonderful Gordon Burtch and Brad Greenwood to talk about everything you ever wanted to know about economics, econometrics, difference-in-difference designs, mechanism identifications, analytical modeling, and forbidden comparisons. At the end of it all, Jan’s boy crush has subsided a little bit – which is probably good – and Nick’s theory that every study is just a case study is, well, still a theory. But Gordon and Brad share a wealth of insights and tricks about how to do good econometric research in IS and how to get it published.

Also, just to be clear – the 2024 SIG DITE paper development workshop keynote speakers are not yet confirmed, but it will definitely be worthwhile to attend. In case you are interested, follow AIS SIG DITE.

Episode Reading List

  • Belo, R., Ferreira, P., & Telang, R. (2014). Broadband in School: Impact on Student Performance. Management Science, 60(2), 265-282.
  • Ransbotham, S., Overby, E. M., & Jernigan, M. C. (2021). Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time. Management Science, 67(7), 4341-4361.
  • 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.
  • Zhang, J., & Seidmann, A. (2010). Perpetual Versus Subscription Licensing Under Quality Uncertainty and Network Externality Effects. Journal of Management InformationSystems, 27(1), 39-68.
  • Bapna, R., & Umyarov, A. (2015). Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks. Management Science, 61(8), 1902-1920.
  • Huang, N., Burtch, G., Gu, B., Hong, Y., Liang, C., Wang, K., Fu, D., & Yang, B. (2019). Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments. Management Science, 65(1), 327-345.
  • Boumans, M. (2019). Econometrics: the Keynes–Tinbergen Controversy. In R. W. Dimand & H. Hagemann (Eds.), The Elgar Companion to John Maynard Keynes (pp. 283–289). Edward Elgar.
  • Miranda, S. M., Berente, N., Seidel, S., Safadi, H., & Burton-Jones, A. (2022). Computationally Intensive Theory Construction: A Primer for Authors and Reviewers. MIS Quarterly, 46(2), i-xvi.
  • Starr, E. P., Prescott, J. J., & Bishara, N. D. (2021). Noncompete Agreements in the US Labor Force. The Journal of Law and Economics, 64(1), 53–84.
  • Berthon, P., Pitt, L., Ewing, M., & Carr, C. L. (2002). Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension and Generation. Information Systems Research, 13(4), 416-427.
  • Makri, A. (2021). What do Journalists say About Covering Science During the COVID-19 Pandemic? Nature Medicine, 27, 17-20.
  • Greenwood, B. N., Hardemann, R. R., Huang, L., & Sojourner, A. (2020). Physician–Patient Racial Concordance and Disparities in Birthing Mortality for Newborns. Proceedings of the National Academy of Sciences, 117(35), 21194-21200.
  • 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.
  • Gefen, D., Rigdon, E. E., & Straub, D. W. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-xiv.
  • Sahaym, A., Vithayathil, J., Sarker, S., Sarker, S., & Bjørn-Andersen, N. (2023). Value Destruction in Information Technology Ecosystems: A Mixed-Method Investigation with Interpretive Case Study and Analytical Modeling. Information Systems Research, 34(2), 508-531.
  • 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. SSRN.
  • Milkman, K. L., Patel, M. S., Gandhi, L., Graci, H. N., Gromet, D. M., Ho, H., Kay, J. S., Lee, T. W., Akinola, M., Beshears, J., Bogard, J. E., Buttenheim, A., Chabris, C. F., Chapman, G. B., Choi, J. J., Dai, H., Fox, C. R., Goren, A., Hilchey, M. D., . . . Duckworth, A. L. (2021). A Megastudy of Text-Based Nudges Encouraging Patients to Get Vaccinated at an Upcoming Doctor’s Appointment. Proceedings of the National Academy of Sciences, 118(20), e2101165118.
  • Foerderer, J., Gutt, D., & Greenwood, B. N. (2023). Star Wars: An Empirical Investigation of Star Performer Turnover and Content Supply on Multi-Sided Streaming Platforms. George Mason University School of Business Research Paper. SSRN.

The Home Page of Professor Jan Recker