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. (2019). The Dark Side of Visionary Leadership in Strategy Implementation: Strategic Alignment, Strategic Consensus and Commitment Journal of Management, Accepted:.
Berkhout, J. and Heidergott, BerndF. (2019). Analysis of Markov influence graphs Operations Research, 67(3):892--904.
Peng, Y., Fu, MichaelC., Hu, J.Q. and Heidergott, B. (2018). A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters Operations Research, 66(2):487--499.
Boswijk, H., Francq, C., Hallin, M. and Taylor, R. (2016). Editorial: Special Issue on Time Series Econometrics Computational Statistics and Data Analysis, 100:631--632.