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The Identification and Characterization of Open Innovation Profiles in Italian Small and Medium‐sized Enterprises

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  • Chiara Verbano
  • Maria Crema
  • Karen Venturini

Abstract

Open innovation () denotes a company's ability to draw on a range of external sources to meet their needs for innovation. Very few empirical analyses have been conducted on the extent to which this new paradigm is embedded in small and medium‐sized enterprises (). Thus, the present study's objective is to identify and characterize different profiles of in , considering the openness of the innovation process phases, variety and breadth of collaborations, determinants, barriers, and motivations. A survey was carried out among Italian manufacturing firms, and a database of 105 companies was obtained. With regard to data elaboration, a factorial and cluster analysis was conducted, and three different profiles emerged: selective low open, unselective open upstream, and mid‐partners integrated open. The different behaviors of the three clusters in terms of determinants, performance, contextual factors, barriers, and motivations were analyzed and discussed.

Suggested Citation

  • Chiara Verbano & Maria Crema & Karen Venturini, 2015. "The Identification and Characterization of Open Innovation Profiles in Italian Small and Medium‐sized Enterprises," Journal of Small Business Management, Taylor & Francis Journals, vol. 53(4), pages 1052-1075, October.
  • Handle: RePEc:taf:ujbmxx:v:53:y:2015:i:4:p:1052-1075
    DOI: 10.1111/jsbm.12091
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    Cited by:

    1. Laura Zapata-Cantu & Ramón Sanguino & Ascensión Barroso & Laura Nicola-Gavrilă, 2023. "Family Business Adapting a New Digital-Based Economy: Opportunities and Challenges for Future Research," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 408-425, March.
    2. Nicola Del Sarto & Giulio Ferrigno & Vinit Parida & Alberto Minin, 2023. "Do start-ups benefit from coworking spaces? An empirical analysis of accelerators’ programs," Review of Managerial Science, Springer, vol. 17(7), pages 2471-2502, October.

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