Human resource management and performance: A neural network analysis

被引:54
作者
Stavrou, Eleni T. [1 ]
Charalambous, Christakis [1 ]
Spiliotis, Stelios [1 ]
机构
[1] Univ Cyprus, Dept Publ & Business Adm, Nicosia, Cyprus
关键词
Kohonen self-organizing map (SOM); artificial neural network (ANN); human resource management; performance;
D O I
10.1016/j.ejor.2006.06.006
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:453 / 467
页数:15
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