Data Science
This research field focuses on quantitative methods to extract knowledge and insights from structured and unstructured data.
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Key publications
Porck, J.P., van Knippenberg, Daan, Tarakci, M., Ates, N.Y., Groenen, P.J.F. and de Haas, M. (2020). Do Group and Organizational Identification Help or Hurt Intergroup Strategic Consensus? Journal of Management, 46(2):234--260.
Ates, N.Y., Tarakci, M., Porck, J.P., van Knippenberg, D. and Groenen, P.J.F. (2020). The Dark Side of Visionary Leadership in Strategy Implementation: Strategic Alignment, Strategic Consensus and Commitment Journal of Management, 46(5):637--665.
Peng, Y., Fu, MichaelC., Heidergott, B. and Lam, H. (2020). Maximum likelihood estimation by monte carlo simulation: Toward data-driven stochastic modeling Operations Research, 68(6):1896--1912.
Berkhout, J. and Heidergott, BerndF. (2019). Analysis of Markov influence graphs Operations Research, 67(3):892--904.
Ozalp, H. and Kretschmer, T. (2019). Follow the crowd or follow the trailblazer? The differential role of firm experience in product entry decisions in the US video game industry Journal of Management Studies, 56(7):1452--1481.