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The role of openness in explaining innovation performance in a regional context

Author

Listed:
  • Anna D’Ambrosio

    (University of Turin)

  • Roberto Gabriele

    (University of Trento)

  • Francesco Schiavone

    (Universita degli Studi di Napoli Parthenope
    Paris School of Business)

  • Manuel Villasalero

    (Universidad de Castilla-La Mancha)

Abstract

We investigate the role of search strategy in shaping firms’ innovation performance. Firms use a wide range of external actors and sources to help them achieve and sustain innovation. In particular, the extension (breadth) and the relevance (depth) of such sources determine firms’ ability to extract and exploit knowledge and new ideas and, thus, to be innovative. Using a sample of firms in a regional context active in R&D, we built separate measures of breadth and depth for local (on a regional scale) and global (outside the regional context) search. This allows us to investigate whether localized or global knowledge spillovers are in place. We find that a wider set of partners increases coordination costs, while greater depth in search strategies contributes to innovation. We find that a more diversified search strategy at the local level (greater breadth of search) results in significant payoffs in terms of innovation, while diversifying the partnership with Italian partners has a smaller, although still positive, effect. In contrast, the benefits of depth of innovation are greatest at the global level. In addition, a broader set of information sources for R&D projects has a significant positive effect on innovation. Finally, firms that resort to R&D subsidies are less innovative.

Suggested Citation

  • Anna D’Ambrosio & Roberto Gabriele & Francesco Schiavone & Manuel Villasalero, 2017. "The role of openness in explaining innovation performance in a regional context," The Journal of Technology Transfer, Springer, vol. 42(2), pages 389-408, April.
  • Handle: RePEc:kap:jtecht:v:42:y:2017:i:2:d:10.1007_s10961-016-9501-8
    DOI: 10.1007/s10961-016-9501-8
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    Cited by:

    1. Yi Ji & Hechang Cai & Zilong Wang, 2023. "Impact of Industrial Synergy on the Efficiency of Innovation Resource Allocation: Evidence from Chinese Metropolitan Areas," Land, MDPI, vol. 12(1), pages 1-16, January.
    2. Tommaso Pucci & Mara Brumana & Tommaso Minola & Lorenzo Zanni, 2020. "Social capital and innovation in a life science cluster: the role of proximity and family involvement," The Journal of Technology Transfer, Springer, vol. 45(1), pages 205-227, February.
    3. Obschonka, Martin & Tavassoli, Sam & Rentfrow, P. Jason & Potter, Jeff & Gosling, Samuel D., 2023. "Innovation and inter-city knowledge spillovers: Social, geographical, and technological connectedness and psychological openness," Research Policy, Elsevier, vol. 52(8).
    4. Hailin Yao & Wei Huang, 2022. "Effect of R&D Subsidies on External Collaborative Networks and the Sustainable Innovation Performance of Strategic Emerging Enterprises: Evidence from China," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    5. Rui Torres de Oliveira & Simona Gentile-Lüdecke & Sandra Figueira, 2022. "Barriers to innovation and innovation performance: the mediating role of external knowledge search in emerging economies," Small Business Economics, Springer, vol. 58(4), pages 1953-1974, April.
    6. Wenjing Wang & Yiwei Liu, 2022. "Does University-industry innovation community affect firms’ inventions? The mediating role of technology transfer," The Journal of Technology Transfer, Springer, vol. 47(3), pages 906-935, June.
    7. Hanna Rydehell & Anders Isaksson & Hans Löfsten, 2019. "Business networks and localization effects for new Swedish technology-based firms’ innovation performance," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1547-1576, October.
    8. Liping Fu & Xiaodi Jiang & Lanping He, 2019. "How Natural Resource-Based Industry Affect Sustainable Development? An Evolutionary Study of China," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
    9. Cristian Barra & Roberto Zotti, 2018. "The contribution of university, private and public sector resources to Italian regional innovation system (in)efficiency," The Journal of Technology Transfer, Springer, vol. 43(2), pages 432-457, April.
    10. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    11. Iacobucci, Donato & Perugini, Francesco, 2023. "Innovation performance in traditional industries: Does proximity to universities matter," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    12. Hoang Thu Thao & Xuemei Xie, 2024. "Fostering green innovation performance through open innovation strategies: do green subsidies work?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18641-18671, July.
    13. Francesco Aiello & Paola Cardamone & Lidia Mannarino & Valeria Pupo, 2021. "Does external R&D matter for family firm innovation? Evidence from the Italian manufacturing industry," Small Business Economics, Springer, vol. 57(4), pages 1915-1930, December.
    14. Petr Hajek & Roberto Henriques, 2017. "Modelling innovation performance of European regions using multi-output neural networks," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.

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    More about this item

    Keywords

    Openness; Search strategies; Innovation; Innovative performance; R&D regional policy;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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