Predictors of career preferences of MNC knowledge professionals

Manolopoulos, D., Dimitratos, P. and Sofikitis, E. (2011) Predictors of career preferences of MNC knowledge professionals. Personnel Review, 40(4), pp. 466-484. (doi: 10.1108/00483481111133345)

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Publisher's URL: http://dx.doi.org/10.1108/00483481111133345

Abstract

<p><b>Purpose:</b> The purpose of this research is to find out the influence of the roles of Research and Development (R&D) laboratories of Multinational Corporations (MNCs); and of employee-related characteristics on future career preferences of knowledge professionals in these laboratories. Career preferences include managerial, technical, project-based and entrepreneurial paths.</p> <p><b>Design/methodology/approach:</b> This study draws on a large scale study of 921 professionals employed in 70 R&D units of MNC subsidiaries operating in Greece. Four ordered probit regression models were run with employee career preferences forming the dependent variables.</p> <p><b>Findings:</b> Two R&D laboratory roles (Support Laboratory and Locally Independent Laboratory); and age and education of the employee stand out as predictors of career preferences of examined professionals.</p> <p><b>Research limitations/implications:</b> Notwithstanding that this is a study that took place in a country with an advancing economy, it is seemingly the first that incorporates the roles of R&D laboratories as potential predictors of career paths. Moreover, the idiosyncrasies of the Greek national context are provided as possible explanations that justify why some hypotheses based on prior literature were not supported.</p> <p><b>Practical implications:</b> MNC knowledge professionals employed in R&D units are a special group of employees whose career paths may be different from those of other groups. Thus, MNC management should tailor-make career preferences for them.</p> <p><b>Originality/value:</b> This research is one of the few empirical studies providing evidence on career paths of employees in MNC R&D units; and suggests possible predictors that have not been put forward hitherto.</p>

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Dimitratos, Professor Pavlos
Authors: Manolopoulos, D., Dimitratos, P., and Sofikitis, E.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Personnel Review
ISSN:0048-3486

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