Predicting the success of the supply chain dyadic relationship: a qualitative study of dyads

Downard, Andrew, Shee, Himanshu ORCID: 0000-0002-6990-154X and Sadler, Ian (2022) Predicting the success of the supply chain dyadic relationship: a qualitative study of dyads. IIMB Management Review. pp. 1-30. ISSN 0970-3896


The existing supply chain dyadic relationship (SCDR) measurement tools mainly focus on a narrow group of elements in a fully developed business-to-business dyadic relationship. Predicting the success of a dyadic relationship during the very early stage of a relationship is quite critical since the existing SCDR elements have limited capabilities. Drawing on transaction cost economics and social exchange theory, this study aims to explore and enhance the SCDR measurement tools that can likely predict putative relationship success. Using mixed methods in a longitudinal study, the research used qualitative interviews with an expert panel of supply chain practitioners, and then surveys of selected dyads. Results show that culture matching is perceived to be a key element of the revised SCDR tool, one that will likely predict relationship success. The enhanced tool helps managers to comprehend the importance of organisational culture and its critical role in predicting the dyadic relationship success.

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Item type Article
DOI 10.1016/j.iimb.2023.07.001
Official URL
Subjects Current > FOR (2020) Classification > 3509 Transportation, logistics and supply chains
Current > Division/Research > VU School of Business
Keywords supply chain dyadic relationship, SCDR measurement system, inter-organisational trust, long-term sustainability
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