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

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.

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