A measurement system for managing performance of industrial clusters

A measurement system for managing performance of industrial clusters Purpose The purpose of this article is to present and discuss a conceptual model for performance measurement and management of a cluster based on the concepts of the Balanced Scorecard and other models.Designmethodologyapproach This paper was based on a case research as the field research methodology for theory testing and refinement.Findings The proposed model adequately captures the perspectives of performance management of a cluster, emphasizing the importance of measuring leading and lagging dimensions of performance such as collective efficiency and economicsocial results.Research limitationsimplications Research is still at an early stage and applications of the model need to be carry on further so as to review and validate it.Practical limitations Absence of a culture of decision making based on analysis of information and lack of resources may create some difficulty in using metrics for a cluster of SMEs.Originalityvalue The paper proposes applying the concepts and techniques of business performance management and measurement to manage performance of clusters of companies, offering a new approach on how to improve the collective efficiency of a cluster. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Productivity and Performance Management Emerald Publishing

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1741-0401
DOI
10.1108/17410400810881854
Publisher site
See Article on Publisher Site

Abstract

Purpose The purpose of this article is to present and discuss a conceptual model for performance measurement and management of a cluster based on the concepts of the Balanced Scorecard and other models.Designmethodologyapproach This paper was based on a case research as the field research methodology for theory testing and refinement.Findings The proposed model adequately captures the perspectives of performance management of a cluster, emphasizing the importance of measuring leading and lagging dimensions of performance such as collective efficiency and economicsocial results.Research limitationsimplications Research is still at an early stage and applications of the model need to be carry on further so as to review and validate it.Practical limitations Absence of a culture of decision making based on analysis of information and lack of resources may create some difficulty in using metrics for a cluster of SMEs.Originalityvalue The paper proposes applying the concepts and techniques of business performance management and measurement to manage performance of clusters of companies, offering a new approach on how to improve the collective efficiency of a cluster.

Journal

International Journal of Productivity and Performance ManagementEmerald Publishing

Published: Jun 20, 2008

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