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Karl Werder is an Associate Professor in the Section Digital Business Innovation of the IT University of Copenhagen, DK, where he co heads the Master's Programme in Digital Innovation & Management. He investigates sociotechnical tensions of digital innovation, that is, why and how AI's inherent properties simultaneously enable and constrain performance of and within organizations.
His research revolves around three streams. AI for decision making investigates when do people accept AI-supported decisions, and when do they reject them. Systems development for performance investigates which development practices actually enhance performance. Organizing for digital innovation investigates how should firms organize alliances, data, and capabilities to innovate digitally.
Cao, L., Werder, K. & Mohan, K. (2026). When AI Crosses Boundaries: Rethinking Governance in Boundary-Spanning Work. Computer.
Werder, K., Cao, L., Park, E. H. & Ramesh, B. (2025). Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective. Journal of Medical Internet Research, 27(1), e51785.
Werder, K., Cao, L., Ramesh, B. & Park, E. H. (2024). Empower Diversity in AI Development: Diversity Practices that Mitigate Social Biases from Creeping into Your AI. Communications of the ACM, 67(12), 31-34.
Bockelmann, T., Werder, K., Recker, J., Lehmann, J. & Bendig, D. (2024). Configuring Alliance Portfolios for Digital Innovation. Journal of Strategic Information Systems, 33(1), 101808.
Park, E. H., Werder K., Cao, L. & Ramesh, B. (2022). Why do Family Members Reject AI in Health Care? Competing Effects of Emotions. Journal of Management Information Systems, 39(3), 765-792.
Jabbari, M., Recker, J., Green, P. & Werder, K. (2022). How do Individuals Understand Multiple Conceptual Modeling Scripts? Journal of the Association for Information Systems, 23(4), 1037-1070.
Werder, K., Ramesh, B. & Zhang, R. (2022). Establishing Data Provenance for Responsible Artificial Intelligence Systems. ACM Transactions on Management Information Systems, 13(2), No.:22.
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