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

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. This paper was based on a case research as the field research methodology for theory testing and refineme...

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Bibliographic Details
Published in:International journal of productivity and performance management 2008-01, Vol.57 (5), p.405-419
Main Authors: Cesar Ribeiro Carpinetti, Luiz, Cardoza Galdámez, EdwinVladimir, Cecilio Gerolamo, Mateus
Format: Article
Language:English
Subjects:
Balanced Scorecard
Competition
Competitive advantage
Cooperation
Efficiency
Inventory management
Performance evaluation
Performance management
Small & medium sized enterprises-SME
Statistical analysis
Stockholders
Studies
Supply chain management
Systems design
Citations: Items that this one cites
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Summary: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. This paper was based on a case research as the field research methodology for theory testing and refinement. 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 is still at an early stage and applications of the model need to be carry on further so as to review and validate it. 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. 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. [PUBLICATION ABSTRACT]
ISSN:1741-0401
1758-6658
DOI:10.1108/17410400810881854