Research on buyer-supplier relationships has debated the advantages and disadvantages of embedded relationships. We join this debate by developing theory on the performance implications of relaxing embedded buyer-supplier relationships for a limited period of time — a previously neglected phenomenon we refer to as temporary de-embedding. To capture this phenomenon’s dynamic and complex nature, we use a combined-method approach. First, we conducted a longitudinal case study of the relationship between Nissan and a strategic first-tier supplier. This case study suggests that temporary de-embedding reinvigorates search and leads to higher performance for both the buyer and supplier. Second, we built a computational simulation model using the search perspective from complexity theory to complement the theory grounded in our case study. Our simulations confirm the case findings while shedding additional light on how frequency, duration, and intensity of de-embedding affect supply chain performance.

Additional Metadata
Keywords Buyer-supplier relationships, embeddedness, complexity, combined methods
JEL Business Objectives of the Firm (jel L21), Automobiles; Other Transportation Equipment (jel L62), Transactional Relationships; Contracts and Reputation; Networks (jel L14), Business Administration: General (jel M10), Production Management (jel M11), Computational Techniques; Simulation Modelling (jel C63)
Persistent URL hdl.handle.net/1765/105355
Citation
Sting, F.J, Stevens, M, & Tarakci, M. (2017). Temporary De-Embedding Buyer-Supplier Relationships: A Complexity Perspective. Retrieved from http://hdl.handle.net/1765/105355