Monday, June 4, 2007

Managing People in Industry Clusters

While the paper submission deadline has passed, anyone interested in HR issues in industry clusters may find this of interest. My suggestion is that you contact the two editors of this journal issue and find out what they are learning about managing people in clusters.

International Journal of Human Resources Development and Management (IJHRDM)

(Call For papers) Special Issue on: "Human Resource Management Practices in Industry Clusters"

Guest Editors: Prof. Dr. Bei Hu and Prof. Dr. Rongqiu Chen, Huazhong University of Science and Technology, P. R. China

Industry clusters do not only exist in the developed countries but also appear in developing countries. With the exuberance of electric clusters of Silicon Valley and Route 128 USA, the surgical instrument cluster of Tuttlingen Germany, the high-tech cluster in Zhongguan Village of Beijing, the perfume bottle cluster in Vallée de la Bresle France, industry clusters have become the focus of governments and academics.

It has been found from previous research that industry clusters boost the district economy and the quality of human capital in the cluster is decisive. However, industry clusters, especially in the developing countries, are now confronting problems in terms of human intelligence, brand, patent and management skills, and human resource management and development has become the bottleneck for the sustainable development of industry clusters. The further development of industry clusters requires new and greater requirements in the structure and quality of working staff. Therefore, HRM&D research into industry clusters becomes vital.

At present, scholars mainly focus on the relationships between entrepreneurs and industry clusters, the connection between professionals and industry clusters, etc. However, HRM practice research are not profound enough. Some key questions are: what kind of talent policies can support the sustainable development of industry cluster? What kind of HRM&D strategy is acceptable to industry clusters? What kind of the knowledge management system is advantageous for the knowledge overflow in the cluster? What kind of training mechanism can foster the development of human capital in industry clusters?

The purpose of this special issue is to provide theoretical and empirical research on HRM practices in industry clusters. Empirical research employing multiple methods, conceptual papers utilising a variety of theoretical perspectives, and manuscripts addressing multiple levels of analysis are especially encouraged.


Subject Coverage

Suggested questions and focal areas include but are not limited to:

Talent policies in industry clusters
HRM&D strategy in industry clusters
Knowledge management systems in industry clusters
Talent flow mechanisms in industry clusters
Learning mechanisms in industrial clusters
Organisation culture in industry clusters
Training systems in of industry clusters
Talent attraction mechanisms in industrial clusters
Talent growth mechanisms in industrial clusters
Talent career management mechanisms in industrial clusters
Entrepreneurial management systems in industrial clusters
Notes for Intending Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Submissions should be sent no later than : 30 April 2007

Editors and Notes

You may send one copy in the form of an MS Word file attached to an e-mail (details in Author Guidelines) to both the following:

Prof. Dr. Bei Hu
Director, HRM Institute
Huazhong University of Science and Technology
Wuhan
P. R. China
Email: beihu_hust@yahoo.com.cn

Prof. Dr. Rongqiu Chen
Management School
Huazhong University of Science and Technology
Wuhan
P. R. China
Email: rqchen_hust@yahoo.com.cn

with a copy to:

IEL Editorial Office
E-mail: ijhrdm@inderscience.com

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