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The Bright Side and Dark Side of Embedded Ties In Business-to-Business Innovation

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  • Noordhoff, C.S.
  • Kyriakopoulos, K.
  • Moorman, C.
  • Pauwels, P.
  • Dellaert, B.G.C.

Abstract

While the number and importance of joint innovation projects between suppliers and their customers continue to rise, the literature has yet to resolve a key question—do embedded ties with customers help or hurt supplier innovation? Drawing on both the tie strength and knowledge literatures, we theorize that embedded ties interact with supplier and customer innovation knowledge to influence supplier innovation. In a sample of 157 Dutch business-to-business innovation relationships, we observe that embedded ties weaken how much suppliers benefit from customer innovation knowledge due to worries about customer opportunism (the dark side of embedded ties). However, we uncover three moderating relationship and governance features that allow suppliers to overcome these dark-side effects and even increase innovation (the bright side of embedded ties). Finally, although we predicted a bright-side effect, we find that embedded ties neither help nor hurt the supplier to leverage its own innovation knowledge in the relationship.

Suggested Citation

  • Noordhoff, C.S. & Kyriakopoulos, K. & Moorman, C. & Pauwels, P. & Dellaert, B.G.C., 2011. "The Bright Side and Dark Side of Embedded Ties In Business-to-Business Innovation," ERIM Report Series Research in Management ERS-2011-008-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:22813
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    References listed on IDEAS

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    More about this item

    Keywords

    bright side; business-to-business partnerships; co-creation; dark side; embedded ties; innovation; knowledge;
    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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