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The knowledge management strategy and its effect on firm performance: A contingency analysis

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  • Yang, Jie

Abstract

This study seeks to examine the impact of knowledge management strategy on strategic performance in Chinese High Technology firms drawing on the theory of resource-based view. The results from moderated regression analysis show that the knowledge management strategy--performance connection is contingent on both performance-driven strategies, (including reward system and process innovation) and knowledge management-based competencies, such as R&D from past projects, market intelligence, and intraorganizational knowledge sharing. The findings suggest that both performance-driven strategies and knowledge management-based competencies should be considered in the implementation of knowledge management strategy in Chinese High Technology firms. These results have important implications for researchers investigating the effectiveness of high technology firms' adoption of knowledge management strategies in transitional economies as well as practitioners seeking to improve corporate strategic performance.

Suggested Citation

  • Yang, Jie, 2010. "The knowledge management strategy and its effect on firm performance: A contingency analysis," International Journal of Production Economics, Elsevier, vol. 125(2), pages 215-223, June.
  • Handle: RePEc:eee:proeco:v:125:y:2010:i:2:p:215-223
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    References listed on IDEAS

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    Cited by:

    1. Hsieh, Jung-Kuei & Hsieh, Yi-Ching, 2015. "Dialogic co-creation and service innovation performance in high-tech companies," Journal of Business Research, Elsevier, vol. 68(11), pages 2266-2271.
    2. Bhatti, Waheed Akbar & Larimo, Jorma & Carrasco, Inmaculada, 2016. "Strategy's effect on knowledge sharing in host country networks," Journal of Business Research, Elsevier, vol. 69(11), pages 4769-4774.
    3. da Silva Gonçalves Zangiski, Marlene Aparecida & Pinheiro de Lima, Edson & Gouvea da Costa, Sergio E., 2013. "Organizational competence building and development: Contributions to operations management," International Journal of Production Economics, Elsevier, vol. 144(1), pages 76-89.
    4. Strakos, Joshua K. & Quintanilla, Jose A. & Huscroft, Joseph R., 2016. "Department of Defense energy policy and research: A framework to support strategy," Energy Policy, Elsevier, vol. 92(C), pages 83-91.
    5. Carlos Eduardo Marulanda Echeverry & Jaime Alberto Giraldo García & Héctor Mauricio Serna Gómez, 2015. "Modelo de evaluación de gestión del conocimiento para las pymes del sector de tecnologías de la Información," REVISTA AD-MINISTER, UNIVERSIDAD EAFIT, June.
    6. Gunday, Gurhan & Ulusoy, Gunduz & Kilic, Kemal & Alpkan, Lutfihak, 2011. "Effects of innovation types on firm performance," International Journal of Production Economics, Elsevier, vol. 133(2), pages 662-676, October.
    7. repec:eco:journ3:2017-03-19 is not listed on IDEAS
    8. Liao, Ying & Liao, Kun & Tu, Qiang & Vonderembse, Mark, 2011. "A mechanism for external competence transfer to improve manufacturing system capabilities and market performance," International Journal of Production Economics, Elsevier, vol. 132(1), pages 68-78, July.
    9. Eric Zimmerling & Patrick J. Höflinger & Philipp G. Sandner & Isabell M. Welpe, 2016. "A system framework for gamified Cost Engineering," Information Systems Frontiers, Springer, vol. 18(6), pages 1063-1084, December.
    10. Sarkis, Joseph & Zhu, Qinghua & Lai, Kee-hung, 2011. "An organizational theoretic review of green supply chain management literature," International Journal of Production Economics, Elsevier, vol. 130(1), pages 1-15, March.
    11. Ionela Carmen PIRNEA & Elena Alexandra CALDARARU, 2012. "The relationship between performance and knowledge management in Romanian SMEs," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 512-517, May.

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