The selection, optimization, and compensation model in the work context: A systematic review and meta-analysis of two decades of research


Autoria(s): Moghimi, Darya; Zacher, Hannes; Scheibe, Susanne; Van Yperen, Nico W.
Data(s)

2016

Resumo

Over the past two decades, the selection, optimization, and compensation (SOC) model has been applied in the work context to investigate antecedents and outcomes of employees' use of action regulation strategies. We systematically review, meta-analyze, and critically discuss the literature on SOC strategy use at work and outline directions for future research and practice. The systematic review illustrates the breadth of constructs that have been studied in relation to SOC strategy use, and that SOC strategy use can mediate and moderate relationships of person and contextual antecedents with work outcomes. Results of the meta-analysis show that SOC strategy use is positively related to age (rc = .04), job autonomy (rc = .17), self-reported job performance (rc = .23), non-self-reported job performance (rc = .21), job satisfaction (rc = .25), and job engagement (rc = .38), whereas SOC strategy use is not significantly related to job tenure, job demands, and job strain. Overall, our findings underline the importance of the SOC model for the work context, and they also suggest that its measurement and reporting standards need to be improved to become a reliable guide for future research and organizational practice.

Identificador

http://eprints.qut.edu.au/95515/

Publicador

John Wiley & Sons, Ltd.

Relação

DOI:10.1002/job.2108

Moghimi, Darya, Zacher, Hannes, Scheibe, Susanne, & Van Yperen, Nico W. (2016) The selection, optimization, and compensation model in the work context: A systematic review and meta-analysis of two decades of research. Journal of Organizational Behavior. (In Press)

Direitos

Copyright 2016 John Wiley & Sons, Ltd.

Fonte

QUT Business School; School of Management

Palavras-Chave #150311 Organisational Behaviour #Action Regulation #Meta-analysis #Selection #Optimization #Compensation
Tipo

Journal Article