Employee well-being has gained the attention of scholars and practitioners over the past two decades. However, despite the increasing number of theoretical works on the topic, empirical studies are still limited. In this study, we aim to define the well-being construct through an exploratory and data-driven approach, and examine its impact on employee retention. We first used a nonlinear dimensionality reduction technique for categorical variables to identify the four main dimensions of work-related well-being. Then, we analyzed these dimensions in a fractional regression framework to predict employee retention. The empirical results suggest that the most significant aspects that discourage employee turnover are related to career growth opportunities, job satisfaction, and interpersonal relationships among coworkers.

Staying or leaving? A nonlinear framework to explore the role of employee well-being on retention / Kocollari, Ulpiana; Demaria, Fabio; Cavicchioli, Maddalena. - (2023), pp. 991-996. (Intervento presentato al convegno SIS 2023 - Statistical Learning, Sustainability and Impact Evolution tenutosi a Università Politecnica delle Marche (Ancona, Italy) nel 21-23 Giugno 2023).

Staying or leaving? A nonlinear framework to explore the role of employee well-being on retention

Ulpiana Kocollari;Fabio Demaria
;
Maddalena Cavicchioli
2023

Abstract

Employee well-being has gained the attention of scholars and practitioners over the past two decades. However, despite the increasing number of theoretical works on the topic, empirical studies are still limited. In this study, we aim to define the well-being construct through an exploratory and data-driven approach, and examine its impact on employee retention. We first used a nonlinear dimensionality reduction technique for categorical variables to identify the four main dimensions of work-related well-being. Then, we analyzed these dimensions in a fractional regression framework to predict employee retention. The empirical results suggest that the most significant aspects that discourage employee turnover are related to career growth opportunities, job satisfaction, and interpersonal relationships among coworkers.
2023
SIS 2023 - Statistical Learning, Sustainability and Impact Evolution
Università Politecnica delle Marche (Ancona, Italy)
21-23 Giugno 2023
991
996
Kocollari, Ulpiana; Demaria, Fabio; Cavicchioli, Maddalena
Staying or leaving? A nonlinear framework to explore the role of employee well-being on retention / Kocollari, Ulpiana; Demaria, Fabio; Cavicchioli, Maddalena. - (2023), pp. 991-996. (Intervento presentato al convegno SIS 2023 - Statistical Learning, Sustainability and Impact Evolution tenutosi a Università Politecnica delle Marche (Ancona, Italy) nel 21-23 Giugno 2023).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1312986
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