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Employee turnover prediction and retention policies design: a case study

Year: 2017

Type: preprint

Abstract: This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed. Model outputs are then discussed to design \& test employee retention policies. This type of retention discussion is, to our knowledge, innovative and constitutes the main value of this paper.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1707.01377

Authors: Ribes, Edouard, Touahri, Karim, Perthame, Benoît

Institutions: École Polytechnique, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Sorbonne Université, Laboratoire Jacques-Louis Lions, Université Pierre-et-Marie-Curie

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2732852533

Cites: 37

Cited by: 24

Related to: 10