Research

Our team is actively working on the challenges and opportunities that arise from the development of artificial intelligence. Our activities include the exploration of how to redesign organisations to efficiently benefit from the automation of knowledge work and decision-making; the investigation of how to do better organisation science with AI and the evaluation of how the conversation on organisational responsibilities during the innovation process is changing. Topics researched include: AI for qualitative research; AI for decision-making; AI-augmented creativity; Algorithm accountability; Open-source development of AI.

Selected Publications

2025

Laamanen, T., Weiser, A. K., von Krogh, G., & Ocasio, W. (2025). Artificial Intelligence in Adaptive Strategy Creation and Implementation: Toward Enhanced Attentional Control in Strategy Processes. Long Range Planning, 102561.
Shrestha, Y. R., Buechsenschuss, R., & Tinguely, P. N. (2025). Leveraging AI-Enabled People Analytics for Designing Organizations. In Hoffmann, C. H. (Ed.), Artificial Intelligence, Entrepreneurship and Risk: Reflections and Positions at the Crossroads between Philosophy and Management (pp. 333-352). Wiesbaden: Springer Fachmedien Wiesbaden, https://doi.org/10.1007/978-3-658-45544-6_17.

2024

Rajaram, K. & Tinguely, P. N. (2024) Generative Artificial Intelligence in Small and Medium Enterprises: Navigating its Promises and Challenges, Business Horizons, 67(5), 629-648, https://doi.org/10.1016/j.bushor.2024.05.008.

2023

Tinguely, P. N., Lee, J. & He, V. F. (2023) Designing Human Resource Management Systems in the Age of AI. Journal of Organization Design, 12, 263-269, https://doi.org/10.1007/s41469-023-00153-x.
Park, C., von Krogh, G., Stadtfeld, C., Meboldt, M, and Shrestha, Y. (2023). Healthcare hackathons as open innovation. Nature Reviews Bioengineering, https://doi.org/10.1038/s44222-023-00070-4.
von Krogh, G., Roberson, Q., and Gruber, M. (2023). Recognizing and Utilizing Novel Research Opportunities with Artificial Intelligence. Academy of Management Journal, 66(2), 367–373.2022.
Weiser, A. K., & von Krogh, G. (2023). Artificial intelligence and radical uncertainty. European Management Review, 20(4), 711-717.

2022

Feuerriegel, S., Shrestha, Y. R., von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611-613.
Bailey, D. E., Faraj, S., Hinds, P. J., Leonardi, P. M., & von Krogh, G. (2022). We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing. Organization Science, 33(1), 1–18.

2021

Shrestha, Y. R., He, V. F., Puranam, P. and von Krogh, G., (2021) Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize? Organization Science 32 (3) 856-880.
Shrestha, Y. R., Krishna, V. and von Krogh, G., (2021) Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges. Journal of Business Research, 123, 588-603.

2020

Tinguely, P., Shrestha, Y. R. and von Krogh, G. (2020) How Does Your Labor Force React to COVID-19? Employing Social Media Analytics for Preemptive Decision Making. California Management Review Insights.
He, V. F., Puranam, P., Shrestha, Y. R., & von Krogh, G. (2020). Resolving governance disputes in communities: A study of software license decisions. Strategic Management Journal, 41(10), 1837–1868.

2019

Shrestha, Y. R., Ben-Menahem, S., & von Krogh, G (2019). Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review, 61 (4), 66-83.
Yang, Y., Shrestha, Y. R., & Guo, J. (2019). On the Complexity of Bribery with Distance Restrictions. Theoretical Computer Science. Volume 760, Pages 55-71.

2018

von Krogh, G. (2018). Artificial Intelligence in Organizations: New Opportunities for Phenomenon-Based Theorizing. Academy of Management Discoveries, 4(4), 404-409.