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Examining Drivers Of Collaborative Inbound Open Innovation: Empirical Evidence From Australian Firms

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  • TANIA BUCIC

    (Australian School of Business, University of New South Wales, Sydney NSW 2052, Australia)

  • LIEM VIET NGO

    (Australian School of Business, University of New South Wales, Sydney NSW 2052, Australia)

Abstract

Knowledge-based competition is leading to collaboration with partners and even competitors as firms pursue appropriate knowledge for innovation which has become a strategic imperative. Inbound open innovation helps increase the innovativeness of the firm by monitoring the operating environment and enabling it to source knowledge from collaborative partners. On the basis of in-depth interviews with senior managers and the knowledge-based view of the firm, this study examines the extent to which inbound open innovation activities contribute to collaborative innovation. Then, using a sample of 224 surveys representative of a cross-section of medium to large firms involved in collaborative ventures, the theoretical model is empirically examined. The results show that collaborative creativity, learning and knowledge stock are critical core inputs of collaborative innovation, with the support of formal coordination mechanisms and internal search processes, such as structural centralisation, formality and absorptive capacity.

Suggested Citation

  • Tania Bucic & Liem Viet Ngo, 2012. "Examining Drivers Of Collaborative Inbound Open Innovation: Empirical Evidence From Australian Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-24.
  • Handle: RePEc:wsi:ijimxx:v:16:y:2012:i:04:n:s1363919611003660
    DOI: 10.1142/S1363919611003660
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    Cited by:

    1. Yue Li & Hang Guo & Sarah Yvonne Cooper & Hongqi Wang, 2019. "The Influencing Factors of the Technology Standard Alliance Collaborative Innovation of Emerging Industry," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    2. Nebojša Stojčić, 2021. "Collaborative innovation in emerging innovation systems: Evidence from Central and Eastern Europe," The Journal of Technology Transfer, Springer, vol. 46(2), pages 531-562, April.
    3. Yildirim, Ercan & AR, Ilker Murat & Dabić, Marina & Baki, Birdogan & Peker, Iskender, 2022. "A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach," Journal of Business Research, Elsevier, vol. 147(C), pages 379-391.

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