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A Transaction Cost Approach to Make-or-Buy Decisions
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20
References
1984
Year
Transaction Cost ApproachMarket DesignIndustrial OrganizationManagementCost ManagementDecision TheoryQuantitative ManagementDavid WeberCost AllocationSupply Chain ManagementStrategic ManagementMarketingFinanceSupply ManagementGordon WalkerSupplier RelationshipCost IssueBusinessStrategic SourcingBusiness StrategyPurchasingDynamic CompetitionDecision ScienceTransaction CostsMicroeconomics
Make‑or‑buy decisions are a paradigmatic problem for analyzing transaction costs. Using Williamson’s efficient‑boundaries framework, the authors tested a multiple‑indicator structural equation model on make‑or‑buy decisions in a U.S. automobile division, examining the indirect effects of transaction costs via supplier competition and volume/technological uncertainty, as well as buyer experience and comparative production costs.
Gordon Walker and David Weber This study focuses on make-or-buy decisions as a paradigmatic problem for analyzing transaction costs. Hypotheses developed from Williamson's efficient boundaries framework were tested in a multiple-indicator structural equation model. The influence of transaction costs on decisions to make or buy components was assessed indirectly through the effects of supplier market competition and two types of uncertainty, volume and technological. In addition to transaction costs, the decisions were hypothesized to be predicted by both buyer production experience and the comparative production costs between buyer and supplier. The hypotheses were tested on a sample of make-or-buy decisions made in a division of a U.S. automobile company. The results show that comparative production costs are the strongest predictor of makeor-buy decisions and that both volume uncertainty and supplier market competition have small but significant effects. The findings are explained in terms of the complexity of the components and the potential pattern of communication and influence among managers responsible for making the decisions.*
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