A measurement system for managing performance of industrial clusters

Luiz Cesar Ribeiro Carpinetti, EdwinVladimir Cardoza Galdámez and Mateus Cecilio Gerolamo

International Journal of Productivity and Performance Management, 2008, vol. 57, issue 5, 405-419

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: Performance measures; Performance management; Supply chain management; Statistical analysis; Small to medium‐sized enterprises (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijppmp:v:57:y:2008:i:5:p:405-419

DOI: 10.1108/17410400810881854

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