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Rethinking Rugged Landscapes

Tim presents a research project on NK models at the MOC Conference at Cass Business School.

Since its introduction in genetic evolution theory by Kaufmann (1993), the NK family of rugged multi-peaked fitness landscapes has represented a powerful device to advance organizational research and strategic management in particular. Whilst thriving, this body of research has however only partly taken into account its inherent methodological complexity.

By illustrating overlooked, yet fundamental mathematical considerations in NK modeling, Tim and Sebastiano's new work aims to offer a comprehensive methodological framework leading to higher theoretical accuracy and fitness in management research.

Further Readings

Baumann, O., Schmidt, J., & Stieglitz, N. (2019). Effective Search in Rugged Performance Landscapes: A Review and Outlook. Journal of Management, 45(1), 285-318.

Levinthal, D. A. (1997). Adaptation on rugged landscapes. Management Science, 43(7), 934-950.

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