Current Research Projects
“The Impact of Technological Change on Knowledge Production and Exchange: Superstar, Gender, and Knowledge Proximity Effects in Strategy Research Seminars” (with Nicolai Foss and Tianjiao Xu, submitted)
“AI-driven Ecosystem Orchestration and Stakeholder Value Implications” (with Nicolai Foss and Yannick Bammens)
“Causal Discovery in Strategic Management Research” (with Yannick Bammens and Jermain Kaminski)
“Inventor Mobility after The Fall of the Berlin Wall” (with Ann Hipp)
“The effect of publicly co-funded industry-science collaboration on scientific production” (with Cindy Lopes-Bento and Maikel Pellens, submitted)
“Causal Machine Learning and Business Decision Making” (with Jermain Kaminski and Carla Schmitt, submitted)
“The Choice of Control Variables: How Causal Graphs Can Inform the Decision” (with Beyers Louw and Mikko Rönkkö, Best Paper Proceedings of the 82nd Annual Meeting of the Academy of Management, Preprint)
Publications
[19] Hünermund, P., Louw, B. (2023). On the Nuisance of Control Variables in Causal Regression Analysis. Organizational Research Methods, forthcoming.
[18] Fišar, M., et al. (2023). Reproducibility in Management Science. Management Science, forthcoming (as part of the Management Science Reproducibility Collaboration).
[17] Grosz, M. P., Ayaita, A., Arslan, R. C., Buecker, S., Ebert, T., Hünermund, P., Müller, S. Rieger, S., Zapko-Willmes, A., Rohrer, J. M. (2023). Natural Experiments: Missed Opportunities for Causal Inference in Psychology. Advances in Methods and Practices in Psychological Science, 7(1): 1–15.
[16] Bammens, Y., Hünermund, P. (2023). Using Federated Machine Learning to Overcome the AI Scale Disadvantage. MIT Sloan Management Review, 65(1), fall issue.
Media: Nikkei Business, MIT SMR Polska
[15] Boeing, P., Hünermund, P. (2023). Is there a slowdown in research productivity? Evidence from China and Germany, in Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research, OECD Publishing, Paris.
[14] Bammens, Y., Hünermund, P. (2023). Ecological community logics, identifiable business ownership, and green innovation as a company response. Research Policy, 52(8): 104826.
[13] Hünermund, P., Louw, B., Caspi, I. (2023). Double Machine Learning and Automated Confounder Selection — A Cautionary Tale. Journal of Causal Inference, 11: 20220078.
Preprint (arXiv)
Media: Faculti.net (audio summary)
[12] Hünermund, P., Barenboim, E. (2023). Causal Inference and Data Fusion in Econometrics. The Econometrics Journal, forthcoming.
[11] Rohrer, J. M., Hünermund, P., Arslan, R. C., Elson, M. (2022). That’s a lot to Process! Pitfalls of Popular Path Models. Advances in Methods and Practices in Psychological Science, 5(2): 1–14.
[10] Bammens, Y., Hünermund, P., Andries, P. (2022). Pursuing Gains or Avoiding Losses: The Contingent Effect of Transgenerational Intentions on Innovation Investments. Journal of Management Studies, 59(6): 1493–1530.
Preprint
Media: Management Studies Insights Blog
[9] Bammens, Y., Hünermund, P. (2021). How Midsize Companies Can Compete in AI. Harvard Business Review, September.
[8] Hamstra, M. R. W., Schreurs, B., Jawahar, I. M., Laurijssen, L. M., Hünermund, P. (2021). Manager narcissism and employee silence: A socio‐analytic theory perspective. Journal of Occupational and Organizational Psychology, 94(1): 29–54.
[7] Boeing, P., Hünermund, P. (2020). A global decline in research productivity? Evidence from China and Germany. Economics Letters, 197.
Preprint
Media: Frankfurter Allgemeine Zeitung (FAZ), Neue Zürcher Zeitung (NZZ), ZEW Policy Brief, ZEW News, Wirtschaftsforum SPD, Marginal Revolution
[6] Bammens, Y., Hünermund, P. (2020). Nonfinancial considerations in eco‐innovation decisions: The role of family ownership and reputation concerns. Journal of Product Innovation Management, 37(5): 431–453.
FFI Best Quantitative Paper Award at European Academy of Management (EURAM) 2018 Conference in Reykjavik, Iceland
[5] Andries, P., Hünermund, P. (2020). Firm-level effects of staged investments in innovation: The moderating role of resource availability. Research Policy, 49(7).
Preprint, Supplemental Material
[4] Czarnitzki, D., Hünermund, P., and Moshgbar, N. (2020). Public Procurement of Innovation: Evidence from a German Legislative Reform. International Journal of Industrial Organization, 71.
Preprint
Media: Oekonomenstimme, ZEWnews
[3] Hünermund, P., Czarnitzki, D. (2019). Innovation Policy and Causality. ifo DICE Report 4 / 2019 (Winter): Innovation Policy, 3–6.
[2] Hünermund, P., and Czarnitzki, D. (2019). Estimating the Causal Effect of R&D Subsidies in a Pan-European Program. Research Policy, 48(1): 115–124.
Preprint, Supplemental Material
Media: Voxeu, Oekonomenstimme, ZEW Aktuell
[1] Hünermund P. (2017). Do Most Companies Even Try to Innovate Anymore?. Harvard Business Review, April.
Book Chapters
[1] Hünermund, P. (2021). Herausforderungen für die Innovationspolitik. In Frenzel, M., Machnig, M., Zenke, I. (Hg.). Post Coronomics — Neue Ideen für Markt, Staat und Unternehmen. Bonn, Germany: Dietz.
Other publications
Hünermund, P., Schmidt-Dengler, P., and Takahashi Y. (2014). Entry and Shakeout in Dynamic Oligopoly. ZEW Discussion Paper No. 14-116.
Paul Hünermund, Ph.D. 