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dc.contributor.authorStavrou-Costea, Elenien
dc.contributor.authorCharalambous, Chrisen
dc.contributor.authorSpiliotis, Steliosen
dc.creatorStavrou-Costea, Elenien
dc.creatorCharalambous, Chrisen
dc.creatorSpiliotis, Steliosen
dc.description.abstractAbstract: This study utilizes an innovative research methodology (Kohonen’s Self-Organizing Maps) to explore a subject relatively understudied in Europe. It focuses on the connection between human resource management as a source of competitive advantage and perceived organizational performance in the European Union’s private and public sectors. While practices in these two sectors did not differ significantly, three diverse but overlapping HRM models did emerge, each of which involved a different set of EU member states. Training & Development practices were strongly related to performance in all three models and Communication practices in two. These results show the usefulness of an innovative technique when applied to research so far conducted through traditional methodologies, and brings to the surface questions about the universal applicability of the widely accepted relationship between superior HRM and superior business performance. Copyright &y& Elsevier]en
dc.description.abstractCopyright of European Journal of Operational Research is the property of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)en
dc.sourceEuropean Journal of Operational Researchen
dc.subjectCompetitive advantageen
dc.subjectArtificial neural network (ANN)en
dc.subjectHuman resource managementen
dc.subjectKohonen self-organizing map (SOM)en
dc.subjectNetwork analysis (Communication)en
dc.subjectPersonnel managementen
dc.titleHuman resource management and performance: A neural network analysisen
dc.description.endingpage467Σχολή Οικονομικών Επιστημών και Διοίκησης / Faculty of Economics and ManagementΤμήμα Διοίκησης Επιχειρήσεων και Δημόσιας Διοίκησης / Department of Business and Public Administration [542]
dc.contributor.orcidStavrou-Costea, Eleni [0000-0003-2623-2291]

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