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An approach for evaluating collaboration attributes in cluster-based companies

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  • Cinthia de Azevêdo Faustino
  • Cláudia Fabiana Gohr
  • Luciano Costa Santos

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.

Suggested Citation

  • Cinthia de Azevêdo Faustino & Cláudia Fabiana Gohr & Luciano Costa Santos, 2019. "An approach for evaluating collaboration attributes in cluster-based companies," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2356-2371, April.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:8:p:2356-2371
    DOI: 10.1080/00207543.2018.1518604
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    File URL: http://hdl.handle.net/10.1080/00207543.2018.1518604
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    Cited by:

    1. Juliana Maria Gonçalves de Almeida & Cláudia Fabiana Gohr & Luciano Costa Santos, 2020. "Assessing Collaborative Capabilities for Sustainability in Interorganizational Networks," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    2. Maria Clara da Cunha Bezerra & Cláudia Fabiana Gohr & Sandra Naomi Morioka, 2021. "Linking Cluster Characteristics and Organizational Capabilities for Sustainability—Framework Development and Application," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    3. Kazantsev, Nikolai & Petrovskyi, Oleksii & Müller, Julian M., 2023. "From supply chains towards manufacturing ecosystems: A system dynamics model," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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