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Network position and innovation capability in the regional innovation network

Author

Listed:
  • Mariangela Piazza
  • Erica Mazzola
  • Lorenzo Abbate
  • Giovanni Perrone

Abstract

This paper investigates the positioning of actors characterized by different natures in a regional innovation network and explores how these actors improve their innovation capabilities by assuming prominence or brokering positions. Innovation capability is widely seen to be the driving force in building regional competitive advantage, therefore investigating how the positioning of actors improves their innovation-related activities is relevant in terms of regional competitiveness. This paper builds on a survey conducted on the Sicilian regional area in Italy. A questionnaire was used to collect data concerning the relationships established between actors and the extent to which these relationships impact actors’ innovation capability. Results suggest that regional actors cannot be considered as a homogeneous group regarding their positioning in a regional network and that the innovation benefits of assuming different network positions depend on their nature. This paper offers some theoretical implications to the literature on regional innovation network and practical suggestions to organizations and regional policy makers.

Suggested Citation

  • Mariangela Piazza & Erica Mazzola & Lorenzo Abbate & Giovanni Perrone, 2019. "Network position and innovation capability in the regional innovation network," European Planning Studies, Taylor & Francis Journals, vol. 27(9), pages 1857-1878, September.
  • Handle: RePEc:taf:eurpls:v:27:y:2019:i:9:p:1857-1878
    DOI: 10.1080/09654313.2019.1642856
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    Citations

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    Cited by:

    1. Keyan Zheng & Fagang Hu & Yaliu Yang, 2023. "Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    2. Yan Wang & Zhihua Liu, 2023. "Research on the Regional Cooperation Innovation Network of Universities in the Guangdong–Hong Kong–Macao Great Bay Area," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    3. Piazza, Mariangela & Mazzola, Erica & Perrone, Giovanni, 2022. "How can I signal my quality to emerge from the crowd? A study in the crowdsourcing context," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Hechang Cai & Zhijun Feng & Wen Zhou & Jinghan Chen & Zinan Chen, 2023. "Understanding the spatial polarization pattern of technology transfer network in the Guangdong–Hong Kong–Macao Greater Bay area," Growth and Change, Wiley Blackwell, vol. 54(1), pages 4-25, March.
    5. Yaliu Yang & Yuan Wang & Yingyan Zhang & Conghu Liu, 2022. "Data-Driven Coupling Coordination Development of Regional Innovation EROB Composite System: An Integrated Model Perspective," Mathematics, MDPI, vol. 10(13), pages 1-25, June.
    6. Sylvia Novillo-Villegas & Ricardo Ayala-Andrade & Juan Pablo Lopez-Cox & Javier Salazar-Oyaneder & Patricia Acosta-Vargas, 2022. "A Roadmap for Innovation Capacity in Developing Countries," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    7. Dias, Cleidson Nogueira & Hoffmann, Valmir Emil & Martínez-Fernández, María Teresa, 2021. "Condiciones de las redes interorganizativas para la innovación en áreas rurales," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 21(01), June.
    8. Xiaoxiao Shi & Qingpu Zhang, 2020. "Network inertia and inbound open innovation: is there a bidirectional relationship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 791-815, February.
    9. Zahid Yousaf & Daniela Mihai & Umair Tanveer & Mădălina Brutu & Smaranda Toma & Sheikh Muhammad Zahid, 2022. "Organizational Innovativeness in the Circular Economy: The Interplay of Innovation Networks, Frugal Innovation, and Organizational Readiness," Sustainability, MDPI, vol. 14(11), pages 1-13, May.
    10. Wenqing Wu & Hongxin Wang & Yenchun Jim Wu, 2021. "Internal and external networks, and incubatees’ performance in dynamic environments: entrepreneurial learning’s mediating effect," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1707-1733, December.
    11. Feng, Zhijun & Cai, Hechang & Chen, Zinan & Zhou, Wen, 2022. "Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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