Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/127910
Title: How well do you know your employees? A contribution towards understanding employee turnover
Author: Politi, Carlos
Director/Tutor: Di Paolo, Antonio
Elgoibar, Patricia
Keywords: Distribució (Teoria de la probabilitat)
Recursos humans
Competències professionals
Tesis de màster
Distribution (Probability theory)
Human capital
Vocational qualifications
Masters theses
Issue Date: 2018
Abstract: This large-scale, multi-country study aims to examine the relation between individual, organizational and managerial factors and voluntary turnover in a communications technology organization. A comprehensive review of academic literature on employee turnover theories and meta-analysis studies is used to introduce turnover hypotheses along with a set of moderating factors. Linear Probability and Probit models are used to analyze longitudinal employee data from the organization’s human resource information system. The results indicate that traditional individual, organizational and managerial factors such as tenure, performance, manager support and employee rewards have an effect on employee turnover. Specific implications for managers on how to thwart employee turnover are introduced. This study contributes to the existing research on turnover by proposing a way in which human resources professionals can diagnose employees at fly risk using employee records and consequently developing the appropriate retention actions. Research limitations and future research are discussed.
Note: Treballs Finals del Màster de Recerca en Empresa, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2017-2018, Tutoria : Antonio Di Paolo, Patricia Elgoibar
URI: http://hdl.handle.net/2445/127910
Appears in Collections:Màster Oficial - Recerca en Empresa

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