Joint B2B supply chain decision-making: Drivers, facilitators and barriers

Joint decision-making is one of the coordination mechanisms to address the inherent complexity of business-to -business (B2B) processes within a supply chain. Joint decision-making can be helpful to define shared goals and objectives, identify supply chain failures and opportunities, and consolidate supply chain success. Parties may benefit directly from a partnership's potential and synergies by collaboratively making decisions. However, specific business conditions need to be in place to enable joint decision-making. This paper investigates how companies in a dyadic relationship arrive at joint and individual supply chain decision-making structure. We examine the drivers, facilitators, and barriers of making joint as well as individual decisions within the supplier -buyer dyad and frame our arguments borrowing perspectives from resource dependency theory, transaction cost economics, collaboration theory, and social exchange theory. The paper presents a case study of Dutch high-tech companies, analysing experiences of supply chain managers via semi-structured interviews. High-tech firms often collaborate and share supply chain decisions due to the high-value capital equipment as well as a shared de-pendency on highly specific scarce resources. Our study provides new empirical insight into how firms cope with conflicting drivers, facilitators, and barriers in collaborations, controlling their decision-making structure. From the case study, we identify the combinations of facilitators and drivers that tend to promote the existence of joint decisions. We conclude with providing a list of suggestions for decision-makers and future research.

Automated summary

Joint decision-making is an effective mechanism for addressing the complexity of B2B processes in supply chains. This paper investigates how companies in a dyadic relationship make joint and individual decisions by examining the drivers, facilitators, and barriers. A case study of Dutch high-tech companies provides empirical insight into the dynamics of collaborative decision-making and offers suggestions for decision-makers and future research.