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Supply chain governance: a conceptual model

Franciele Bonatto (Federal Technological University of Paraná, Guarapuava, Brazil)
Luis Mauricio Martins de Resende (Postgraduate Program in Production Engineering, Universidade Tecnologica Federal do Parana, Curitiba, Brazil)
Joseane Pontes (Postgraduate Program in Production Engineering, Federal Technological University of Paraná, Guarapuava, Brazil)

Journal of Business & Industrial Marketing

ISSN: 0885-8624

Article publication date: 4 June 2021

Issue publication date: 5 January 2022

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Abstract

Purpose

This paper aims to clarify ambiguous results from previous research on the relationship between contextual factors, trust and supply chain governance (SCG).

Design/methodology/approach

This study carried out a systematic literature review in 11 databases, with articles published until 2018. Afterward, this study conducted a thematic analysis in 60 articles to address the contextual factors, governance structures and trust approaches raised in previous research.

Findings

The thematic analysis revealed that seven contextual factors influence the choice of contractual and relational mechanisms in supply chains: relationship history, environmental uncertainty, perceived risk, perceived justice, asset specificity, power asymmetry and interdependence. The findings explained the ambiguous results of past research by proposing that contractual and relational governance are complementary and that the presence of trust (affective and competence-based) moderates the relationship between contextual factors and SCG.

Originality/value

This research advances the SCG literature by proposing trust (affective and competence-based) as a moderating variable that fosters governance mechanisms in supply chain relationships.

Keywords

Acknowledgements

The authors gratefully acknowledge the support of the Federal Technological University of Paraná in the development of this research.

Citation

Bonatto, F., Resende, L.M.M.d. and Pontes, J. (2022), "Supply chain governance: a conceptual model", Journal of Business & Industrial Marketing, Vol. 37 No. 2, pp. 309-325. https://doi.org/10.1108/JBIM-09-2019-0418

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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