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Organisational Implications Of Open Innovation: An Analysis Of Inter-Industry Patterns

Author

Listed:
  • TOMMASO BUGANZA

    (Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza L. da Vinci 32 - 20133 Milano, Italy)

  • DAVIDE CHIARONI

    (Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza L. da Vinci 32 - 20133 Milano, Italy)

  • GABRIELE COLOMBO

    (Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza L. da Vinci 32 - 20133 Milano, Italy)

  • FEDERICO FRATTINI

    (Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza L. da Vinci 32 - 20133 Milano, Italy)

Abstract

Although Open Innovation has been a highly researched and debated topic in the last decade, many relevant issues remain largely unexplored so far. An interesting question to address is whether and how Open Innovation has a dissimilar impact on the organization and management systems of firms working in different industries. The paper investigates this topic using a rich empirical basis gathered through 8 case studies involving large Italian corporations, which operate in heterogeneous industries. Managers will find a number of insights about how to streamline the adoption and institutionalization of Open Innovation practices, taking into account the specificity of the firm and the industry in which it works. The empirical analysis shows that some firms tend to leverage exploitative inter-organizational networks, characterized by strong ties and by the presence of several heterogeneous actors such as customers, suppliers and universities. Moreover, they establish dedicated units to institutionalize structured and formalized screening processes for managing Open Innovation projects. Other firms enter instead into networking relationships mainly for explorative purposes, establishing weak ties with public research centers or universities. They adopt more informal,ad-hocstructures and evaluation procedures, very often embedded in the already existing R&D departments. The paper explains that such differences descend from a number of industry-level variables, i.e., R&D intensity, strength of the appropriability regime, turbulence and uncertainty.

Suggested Citation

  • Tommaso Buganza & Davide Chiaroni & Gabriele Colombo & Federico Frattini, 2011. "Organisational Implications Of Open Innovation: An Analysis Of Inter-Industry Patterns," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 423-455.
  • Handle: RePEc:wsi:ijimxx:v:15:y:2011:i:02:n:s1363919611003210
    DOI: 10.1142/S1363919611003210
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    References listed on IDEAS

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    1. Antonio Fuster Olivares & Jose Miguel Giner Perez & Mª Carmen Tolosa Bailen, 2004. "The new economy in Spain: a regional analysis," ERSA conference papers ersa04p284, European Regional Science Association.
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    Cited by:

    1. Jokubauskienė Raminta & Vaitkienė Rimgailė, 2017. "Assumptions of Customer Knowledge Enablement in the Open Innovation Process," Economics and Business, Sciendo, vol. 31(1), pages 55-69, August.
    2. Changbyung Yoon & Keeeun Lee & Byungun Yoon & Omar Toulan, 2017. "Typology and Success Factors of Collaboration for Sustainable Growth in the IT Service Industry," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    3. Hezam Haidar & Karine Evrard Samuel & Jean-François Boujut, 2019. "Influential factors of initiating open innovation collaboration between universities and SMEs: Systematic Literature Review," Post-Print hal-02184337, HAL.
    4. Alessandro Sarra & Claudio Berardino & Davide Quaglione, 2019. "Deindustrialization and the technological intensity of manufacturing subsystems in the European Union," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(1), pages 205-243, April.
    5. Majbritt Rostgaard Evald & Ann Højbjerg Clarke & Britta Boyd, 2021. "An Open Innovation Project Typology of Exploration and Exploitation: Managerial Implications and Empirical Applications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 740-755, June.

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