Uncovering the Predictors of Employee Turnover: Developing Predictive Models for Anticipating and Mitigating Voluntary Attrition

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Keywords	survival analysis, machine learning, employee turnover predictions, experimentation, ATE, block randomization, inverse propensity score matching
Thesis Advisor	Lemmens, Aurélie, Roos, J.M.T.
Persistent URL	hdl.handle.net/2105/68468
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Konstanty, Magdalena. (2023, July 18). Uncovering the Predictors of Employee Turnover: Developing Predictive Models for Anticipating and Mitigating Voluntary Attrition. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/68468

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