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A measurement system for managing performance of industrial clusters: A conceptual model and research cases

Luiz Cesar Ribeiro Carpinetti (Department of Production Engineering, School of Engineering of Sao Carlos, University of São Paulo, São Paulo, Brazil)
EdwinVladimir Cardoza Galdámez (Department of Production Engineering, School of Engineering of Sao Carlos, University of São Paulo, São Paulo, Brazil)
Mateus Cecilio Gerolamo (Department of Production Engineering, School of Engineering of Sao Carlos, University of São Paulo, São Paulo, Brazil)

International Journal of Productivity and Performance Management

ISSN: 1741-0401

Article publication date: 20 June 2008

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.

Design/methodology/approach

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 economic/social results.

Research limitations/implications

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.

Originality/value

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.

Keywords

Citation

Cesar Ribeiro Carpinetti, L., Cardoza Galdámez, E. and Cecilio Gerolamo, M. (2008), "A measurement system for managing performance of industrial clusters: A conceptual model and research cases", International Journal of Productivity and Performance Management, Vol. 57 No. 5, pp. 405-419. https://doi.org/10.1108/17410400810881854

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited