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How Can External Relationships Enhance Innovation in SMEs? New Evidence for Europe

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  • Andrea Lasagni

Abstract

This paper investigates the role of external relationships as key drivers of small business innovation. An empirical analysis is based on data for approximately 500 small and medium‐sized enterprises (SMEs) in six European countries. The results indicate that innovation performance is higher in SMEs that are proactive in strengthening their relationships with innovative suppliers, users, and customers. Furthermore, the findings of this paper support the view that SMEs will have better new product development results if they improve their relationships with laboratories and research institutes.

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  • Andrea Lasagni, 2012. "How Can External Relationships Enhance Innovation in SMEs? New Evidence for Europe," Journal of Small Business Management, Taylor & Francis Journals, vol. 50(2), pages 310-339, April.
    • Handle: RePEc:taf:ujbmxx:v:50:y:2012:i:2:p:310-339
    DOI: 10.1111/j.1540-627X.2012.00355.x
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    Cited by:

    1. Bentivoglio, Deborah & Bucci, Giorgia & Belletti, Matteo & Finco, Adele, 2022. "A theoretical framework on network’s dynamics for precision agriculture technologies adoption," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 60(4), January.
    2. Anja Ströbele & Patrick Brecht & Lisa Kurz & Carsten H. Hahn, 2023. "Conceptualization of a Cooperative Company Builder for Systematic Transfer of University Research and Innovation in the German Mittelstand," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 9(4), pages 401-428, October.
    3. Al-Tabbaa, Omar & Zahoor, Nadia, 2024. "Alliance management capability and SMEs’ international expansion: The role of innovation pathways," Journal of Business Research, Elsevier, vol. 171(C).
    4. Satı, Zümrüt Ecevit, 2024. "Comparison of the criteria affecting the digital innovation performance of the European Union (EU) member and candidate countries with the entropy weight-TOPSIS method and investigation of its importa," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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