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Toward a Typology of Buyer–Supplier Relationships: A Study of the Computer Industry.

Authors :
Tangpong, Chanchai
Michalisin, Michael D.
Melcher, Arlyn J.
Source :
Decision Sciences; Aug2008, Vol. 39 Issue 3, p571-593, 23p, 1 Diagram, 3 Charts
Publication Year :
2008

Abstract

Buyer–supplier relationship typologies are useful analytical tools for purchasing managers in managing exchange relationships with suppliers and monitoring their purchasing portfolios. Existing buyer–supplier relationship typologies are mainly focused on either relational contents or power-dependence and have limited empirical support for their performance implications. In this study, we developed an alternative buyer–supplier relationship typology that integrates both relational content and power-dependence dimensions, resulting in four generic relationship types: market, power, autonomous-link, and constrained-link relationships. We then performed a longitudinal exploratory investigation of eight leading firms in the U.S. computer industry to explore the performance implications of the typology, using a combinatorial qualitative approach that leverages the strengths of case study research, content analysis, and quasi-experimental design. The results suggest three theoretical propositions. First, the association between the type of buyer–supplier relationships and buyer firm performance varies such that constrained-link relationships are superior in terms of operational efficiency while autonomous-link relationships are superior in terms of product innovation. Second, the positive association between buyer–supplier relational contents (i.e., relationalism) and buyer firm operational efficiency is strengthened as the suppliers' dependence on the buyer firm increases. And finally, the positive association between buyer–supplier relationalism and buyer firm product innovation is weakened as the suppliers' dependence on the buyer firm increases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00117315
Volume :
39
Issue :
3
Database :
Complementary Index
Journal :
Decision Sciences
Publication Type :
Academic Journal
Accession number :
33325615
Full Text :
https://doi.org/10.1111/j.1540-5915.2008.00203.x