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An Empirical Study Of Knowledge Transfer In Working Relationships With Suppliers In New Product Development

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  • YUSHAN ZHAO

    (University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

  • MARILYN LAVIN

    (University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

Abstract

This study examines the factors (trust, communication, supplier relationship specific adaptations, supplier flexibility, and relationship history) that influence knowledge transfer from the supplier to the customer firm in new product development, and the impact of knowledge transfer on product development performance. It also suggests that knowledge tacitness moderates these relationships. Based on a sample of 186 US firms, this study finds that trust, communication, supplier relationship specific adaptations, and supplier flexibility influence knowledge transfer. Knowledge transfer, in turn, has an effect on new product development performance. Mixed findings have also been reported in this paper with respect to the moderating effects of knowledge tacitness. Trust, supplier flexibility, and relationship history are more important for tacit knowledge transfer than for explicit knowledge. Knowledge tacitness does not moderate the relationship between knowledge transfer and NPD performance. However, the results show that both tacit and explicit knowledge transfer significantly affects NPD performance.

Suggested Citation

  • Yushan Zhao & Marilyn Lavin, 2012. "An Empirical Study Of Knowledge Transfer In Working Relationships With Suppliers In New Product Development," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-26.
    • Handle: RePEc:wsi:ijimxx:v:16:y:2012:i:02:n:s1363919612003782
    DOI: 10.1142/S1363919612003782
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    References listed on IDEAS

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    1. N/A, 2003. "Lyle V. Jones: Biography," Journal of Educational and Behavioral Statistics, , vol. 28(4), pages 389-394, December.
    2. N/A, 2003. "Is the US Facing a Jobless Recovery?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 186(1), pages 16-17, October.
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    Cited by:

    1. Mário Mollo Neto & Mariana Matulovic & Ana Karollina M. Novaes & Livia V. Sanches & Juliane C. Forti, 2022. "Decision-making desktop software and mobile app for wastewater treatment: selection of experimental parameters to estimate hydrogen peroxide production," Environment Systems and Decisions, Springer, vol. 42(2), pages 295-305, June.
    2. Thomas Wolfgang Thurner & Stanislav Zaichenko, 2016. "Sectoral Differences In Technology Transfer," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-24, February.
    3. Shanmugam, Mohana & Sun, Shiwei & Amidi, Asra & Khani, Farzad & Khani, Fariborz, 2016. "The applications of social commerce constructs," International Journal of Information Management, Elsevier, vol. 36(3), pages 425-432.
    4. Haijun Wang & Sardar M. N. Islam, 2017. "Construction of an open innovation network and its mechanism design for manufacturing enterprises: a resource-based perspective," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-21, December.
    5. Ricarda Bouncken & Boris Plüschke & Robin Pesch & Sascha Kraus, 2016. "Entrepreneurial orientation in vertical alliances: joint product innovation and learning from allies," Review of Managerial Science, Springer, vol. 10(2), pages 381-409, March.

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