(Strategic) Human resource management
We study the added value of HR investments using a combination of different data sources collected or stored in organisations (over time), in order to be able to make data driven HR decisions. (Strategic) Human Resource Management covers multiple HR practices, such as applicant selection, training, and work design, as well as how these practices operate together in a system.
Boon, C., Belschak, F.B., Den Hartog, D.N., and Pijnenburg, M. (2014). Perceived human resource management practices: Their effect on employee absenteeism and time allocation at work. Journal of Personnel Psychology, 13(1), 21-33.
Den Hartog, D.N., Boon, C., Verburg, R.M., and Croon, M. (2013). HRM, communication, satisfaction, and perceived performance: A cross-level test. Journal of Management, 39(6), 1637-1665.
5 Reasons Why Your In-House HR Assessment Will Fail (and how to avoid that), Juliana Guedes Almeida (November 2020)
How to Best Approach HR Strategy Implementation, Corine Boon
We focus on the characteristics, and consequences of (in)effective leaders and leadership styles over time, using a combination of different data sources collected or stored in organisations as well as leadership diagnostics.
Narcisstic leaders: How to avoid when hiring (blog), Annebel de Hoogh & Corine Boon (January 2023).
Almeida, J. G., Hartog, D. N. D., De Hoogh, A. H. B., Franco, V. R., & Porto, J. B. (2021). Harmful leader behaviors: Toward an increased understanding of how different forms of unethical leader behavior can harm subordinates. Journal of Business Ethics.
Greer, L.L., Homan, A.C., De Hoogh, A.H.B. & Den Hartog, D.N. (2012). Tainted Visions: The Effect of Visionary Leader Behaviors and Leader Categorization Tendencies on the Financial Performance of Ethnically Diverse Teams. Journal of Applied Psychology, 97(1), 203-213
Jacobs, G., Belschak, F.D. & Den Hartog, D.N. (2014). (Un)Ethical Behavior and Performance Appraisal: The Role of Affect, Support, and Organizational Justice. Journal of Business Ethics, 121: 63-76.
Employee behaviour & well-being
Yuan, S., Kroon, B., & Kramer, A. (2021). Building prediction models with grouped data: A case study on the prediction of turnover intention. Human Resource Management Journal.
Analyzing Resilience and Well-Being at Work: a Multi-Level Perspective, Joanna Sosnowska (December 2020)
How to measure employee experience?, Corine Boon
Zhang, Z., Yao, X., Yuan, S., Deng, Y., & Guo, C. (2021). Big five personality influences trajectories of information seeking behavior. Personality and Individual Differences, 173, 110631.
The Benefits of Integrating Creativity and Data Analytics, Yan Shao (august 2020)
Responsible use of analytics
We focus on informing theory and practice in the broad field of HRM and organizational behaviour using advanced methods, such as predictive modeling and text mining. In addition, we research ethical considerations and psychological consequences of algorithm based decision-making.
Example publications on advanced methods:
Kobayashi, V.B., Mol. S.T., Berkers, H.A., Kismihók, G., & Den Hartog D.N. (2018). Text Mining in Organizational Research. Organizational Research Methods, 21(3), 733-765.
Kobayashi, V.B., Mol. S.T., Berkers, H.A., Kismihók, G., & Den Hartog D.N. (2018). Text Classification for Organizational Researchers: A Tutorial. Organizational Research Methods, 21(3), 766-799.
Yuan, S., De Roover, K., Dufner, M., Denissen, J. J., & Van Deun, K. (2021). Revealing subgroups that differ in common and distinctive variation in multi-block data: Clusterwise sparse simultaneous component analysis. Social Science Computer Review, 39(5), 802-820.
Example publications on ethical considerations related to analytics:
Algorithmic Management in Organizations: Benefits, Challenges, and Best Practices, Carlotta Bunzel & Corine Boon (April 2021)
The Ethical Benchmarking of HR analytics, Stefan Mol, Alan Berg (June 2020)
How to Ensure the Validity of People Analytics Efforts?, Margriet Bentvelzen, Jarno Vrolijk, Stefan T. Mol, & Corine Boon
We focus on improving matchmaking processes between individuals (e.g., students), education and the labor market.
Berg, A. M., Mol, S. T., Kismihók, G., & Sclater, N. (2016). The role of a reference synthetic data generator within the field of learning analytics. Journal of Learning Analytics, 3(1), 107-128.
Kobayashi, V. B., Mol, S.T., & Kismihók, G. (2014). Labor Market Driven Learning Analytics. Journal of Learning Analytics, 1(3), 207-210.
Mol, S.T., Kobayashi, V., Kismihók, G., & Zhao, C. (2016, April). Learning through goal setting. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 512-513).
Vrolijk, J., Mol, S. T., Weber, C., Tavakoli, M., Kismihok, G., & Pelucchi, M. (2022). OntoJob: Automated Ontology Learning from Labor Market Data. In Proceedings - 16th IEEE International Conference on Semantic Computing, ICSC 2022 (pp. 195-200). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC52841.2022.00040