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Buying High Tech Products

Author

Listed:
  • Wuyts, S.H.K.
  • Stremersch, S.
  • Franses, Ph.H.B.F.

Abstract

Prior research on technology-intensive (TI) markets makes abstraction of the social context in which transactions take place. In contrast with this prior literature, the authors show that buyer-vendor transactions in TI markets are relationally and structurally embedded in an interfirm network. Their main premise is that buyers in TI markets prefer vendors with whom they can share a strong tie, and that in turn buyers want these vendors to share strong ties with their component manufacturers. This is an important addition to TI literature and to the on-going debate on the strength of ties in the sociology, management and marketing literatures. The authors also specifically consider how characteristics focal to TI markets, such as the know-how buyers possess or the pace of technological change they perceive, affect the extent to which buying behavior is relationally and structurally embedded. An empirical test in the computer network market shows good support for the developed theory.

Suggested Citation

  • Wuyts, S.H.K. & Stremersch, S. & Franses, Ph.H.B.F., 2001. "Buying High Tech Products," ERIM Report Series Research in Management ERS-2001-27-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:92
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    References listed on IDEAS

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    1. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    2. David J. Teece, 2003. "Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 16, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
    3. Currim, Imran S & Weinberg, Charles B & Wittink, Dick R, 1981. "Design of Subscription Programs for a Performing Arts Series," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(1), pages 67-75, June.
    4. Joel A. C. Baum & Tony Calabrese & Brian S. Silverman, 2000. "Don't go it alone: alliance network composition and startups' performance in Canadian biotechnology," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 267-294, March.
    5. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    6. Richard A. Easterlin, 1992. "Analysis," Challenge, Taylor & Francis Journals, vol. 35(4), pages 51-53, July.
    7. Allan Afuah, 2000. "How much do your co‐opetitors' capabilities matter in the face of technological change?," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 397-404, March.
    8. Gordon Walker & Bruce Kogut & Weijian Shan, 1997. "Social Capital, Structural Holes and the Formation of an Industry Network," Organization Science, INFORMS, vol. 8(2), pages 109-125, April.
    9. Seung Ho Park & Michael V. Russo, 1996. "When Competition Eclipses Cooperation: An Event History Analysis of Joint Venture Failure," Management Science, INFORMS, vol. 42(6), pages 875-890, June.
    10. Dutta, Shantanu & John, George, 1995. "Combining Lab Experiments and Industry Data in Transaction Cost Analysis: The Case of Competition as a Safeguard," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 11(1), pages 87-111, April.
    11. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    12. Bruce Kogut, 2000. "The network as knowledge: generative rules and the emergence of structure," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 405-425, March.
    13. L. J. Bourgeois, III & Kathleen M. Eisenhardt, 1988. "Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry," Management Science, INFORMS, vol. 34(7), pages 816-835, July.
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    More about this item

    Keywords

    buying behavior; conjoint analysis; embeddedness; technology-intensive markets; tie strength;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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