An approach for evaluating collaboration attributes in cluster-based companies

Cinthia de Azevêdo Faustino, Cláudia Fabiana Gohr and Luciano Costa Santos

International Journal of Production Research, 2019, vol. 57, issue 8, 2356-2371

Abstract: This paper presents an approach for evaluating collaboration attributes in companies operating in industrial clusters. From the literature review, we identified governance, geographic proximity, and trust as the main collaboration attributes in industrial clusters. For each of them, there is a set of related sub-attributes that composed the evaluation model. For developing the model, we used the graph theoretic approach (GTA), a methodology for multi-attribute assessment that considers interdependencies among elements of a system to provide an overall evaluation. We applied the model to five companies of a furniture cluster. The results showed the model allows for systematizing relationship management because it highlights the collaboration attributes that need to be improved. Furthermore, the application of the model may contribute to encouraging companies to develop collaborative practices.

Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1080/00207543.2018.1518604

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