Decision model with quantification of buyer-supplier trust in advanced technology enterprises

Zachary A. Collier*, Ujjwal Guin, Joseph Sarkis, James H. Lambert

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

3 Citeringar (Scopus)


Purpose: In the buyer-supplier relationship of a high-technology enterprise, the concepts of trust and risk are closely intertwined. Entering into a buyer-supplier relationship inherently involves a degree of risk, since there is always an opportunity for one of the parties to act opportunistically. Purchasing and supply managers play an important role in reducing the firm's risk profile, and must make decisions about whether or not to enter into, or remain in, a relationship with a supplier based on a subjective assessment of trust and risk.
Design/methodology/approach: In this paper, the authors seek to explore how trust in the buyer-supplier relationship can be quantitatively modeled in the presence of risk. The authors develop a model of trust between a buyer and supplier as a risk-based decision, in which a buyer decides to place trust in a supplier, who may either act cooperatively or opportunistically. The authors use a case study of intellectual property (IP) piracy in the electronics industry to illustrate the conceptual discussion and model development.
Findings: The authors produce a generalizable model that can be used to aid in decision-making and risk analysis for potential supply-chain partnerships, and is both a theoretical and practical innovation. However, the model can benefit a variety of high-technology enterprises.
Originality/value: While the topic of trust is widely discussed, few studies have attempted to derive a quantitative model to support trust-based decision making. This paper advanced the field of supply chain management by developing a model which relates risk and trust in the buyer-supplier relationship.

Referentgranskad vetenskaplig tidskriftBenchmarking
Sidor (från-till)3033-3056
Antal sidor24
StatusPublicerad - 29.11.2022
MoE-publikationstypA1 Originalartikel i en vetenskaplig tidskrift


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