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How well do you know your employees? A contribution towards understanding employee turnover

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dc.contributor Di Paolo, Antonio
dc.contributor Elgoibar, Patricia
dc.creator Politi, Carlos
dc.date 2019-02-05T12:31:32Z
dc.date 2019-02-05T12:31:32Z
dc.date 2018
dc.date.accessioned 2024-12-16T10:27:16Z
dc.date.available 2024-12-16T10:27:16Z
dc.identifier http://hdl.handle.net/2445/127910
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/22174
dc.description 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
dc.description 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.
dc.format 69 p.
dc.format application/pdf
dc.language eng
dc.rights cc-by-nc-nd (c) Politi, 2018
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Màster Oficial - Recerca en Empresa
dc.subject Distribució (Teoria de la probabilitat)
dc.subject Recursos humans
dc.subject Competències professionals
dc.subject Treballs de fi de màster
dc.subject Distribution (Probability theory)
dc.subject Human capital
dc.subject Vocational qualifications
dc.subject Master's theses
dc.title How well do you know your employees? A contribution towards understanding employee turnover
dc.type info:eu-repo/semantics/masterThesis


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