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Analytic collaboration in virtual innovation projects

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  • Ko, Krista K.B.
  • To, Chester K.M.
  • Zhang, Z.M.
  • Ngai, Eric W.T.
  • Chan, Theresa L.K.

Abstract

Researchers attend to innovation and collaboration issues. Yet, the relevant literature devotes scant attention to the relationship between collaboration effectiveness and virtual innovation team context, while there are clear indications that both subjects relate with growing concerns in today's business setting. This article reviews extant literature and state-of-the art collaboration systems, and elucidate dynamic contextual factors among virtual innovation team members. The results show the antecedents and interrelationship among these factors, suggesting an optimal collaboration model for virtual innovation project teams. This paper documents the empirical observations of a virtual innovation project for advanced textile manufacturing technologies, and examines the due collaboration taking place among different project participants. Understanding the set of contextual factors emerging from virtual innovation projects can help managers classify, and employ the most effective collaboration mechanism for enhancing the corresponding project performance and effectiveness pragmatically.

Suggested Citation

  • Ko, Krista K.B. & To, Chester K.M. & Zhang, Z.M. & Ngai, Eric W.T. & Chan, Theresa L.K., 2011. "Analytic collaboration in virtual innovation projects," Journal of Business Research, Elsevier, vol. 64(12), pages 1327-1334.
  • Handle: RePEc:eee:jbrese:v:64:y:2011:i:12:p:1327-1334
    DOI: 10.1016/j.jbusres.2011.01.012
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    References listed on IDEAS

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    Cited by:

    1. Hung, Shiu-Wan & Cheng, Min-Jhih & Hou, Chen-En & Chen, Nai-Rong, 2021. "Inclusion in global virtual teams: Exploring non-spatial proximity and knowledge sharing on innovation," Journal of Business Research, Elsevier, vol. 128(C), pages 599-610.
    2. González-Fernández, Marcos & González-Velasco, Carmen, 2018. "Innovation and corporate performance in the Spanish regions," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 998-1021.
    3. To, Chester K.M. & Chau, K.P. & Kan, Chi Wai, 2020. "The logic of innovative value proposition: A schema for characterizing and predicting business model evolution," Journal of Business Research, Elsevier, vol. 112(C), pages 502-520.
    4. To, Chester K.M. & Ko, Krista K.B., 2016. "Problematizing the collaboration process in a knowledge-development context," Journal of Business Research, Elsevier, vol. 69(5), pages 1604-1609.
    5. Jackline Akoth ODERO & Robert K.W. EGESSA & Kelvin Mogere MACHUKI, 2024. "Competitor Orientation And Innovation: Kenyan Deposit Taking Sacco Experience," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 9(1), pages 9-18, March.
    6. Santos, David Ferreira Lopes & Basso, Leonardo Fernando Cruz & Kimura, Herbert & Kayo, Eduardo Kazuo, 2014. "Innovation efforts and performances of Brazilian firms," Journal of Business Research, Elsevier, vol. 67(4), pages 527-535.
    7. Carmen González-Velasco & Marcos González-Fernández & José-Luis Fanjul-Suárez, 2019. "Does innovative effort matter for corporate performance in Spanish companies in a context of financial crisis? A fuzzy-set QCA approach," Empirical Economics, Springer, vol. 56(5), pages 1707-1727, May.

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