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Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA

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  • Malcolm Beynon
  • Paul Jones
  • David Pickernell

Abstract

Using a 2019 data set, 236 regions across 26 European countries are investigated, focusing on four, interlinked, conditions of potential relevance to SME innovation, specifically measures focused on levels of human capital, internal firm innovation, innovation collaborations and broader knowledge collaborations between public and private sectors. The methodology applied uses a configurational approach to elucidate relationships, specifically fuzzy-set Qualitative Comparative Analysis (fsQCA) to evaluate how these conditions affect sales of new-to-market and new-to-firm innovations as a percentage of total turnover for SMEs in each region against the EU 2019 average (NMFS). In addition to existence of the classic ‘core’ region ‘innovation ecosystem’ recipe, having presence of three of the four conditions (in-house innovation being non-relevant), analysis reveals innovation policy may require specific tailoring in certain types of regions. This suggests greater collaboration is required to overcome more extensive absence of other parts of the Regional Innovation System, in-house innovation required to overcome lack of education alone. The main contributions of the research are to generate a more comprehensive evaluation of the complexity of innovation at the regional level, graphical ‘map’ based elucidation of findings also contributing to establishing a baseline for future analysis for European regions’ SME-innovation performance.

Suggested Citation

  • Malcolm Beynon & Paul Jones & David Pickernell, 2021. "Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 33(3-4), pages 227-248, March.
    • Handle: RePEc:taf:entreg:v:33:y:2021:i:3-4:p:227-248
    DOI: 10.1080/08985626.2021.1872936
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    Cited by:

    1. Beynon, Malcolm & Pickernell, David & Battisti, Martina & Jones, Paul, 2024. "A panel fsQCA investigation on European regional innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Grégory Guéneau & Didier Chabaud & Marie-Christine Chalus Sauvannet, 2022. "Opening entrepreneurial ecosystem’s black box: the power of networks in African low-income countries," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 753-772, June.
    3. Xie, Xuemei & Liu, Xiaojie & Blanco, Cristina, 2023. "Evaluating and forecasting the niche fitness of regional innovation ecosystems: A comparative evaluation of different optimized grey models," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Beynon, Malcolm J. & Jones, Paul & Pickernell, David, 2023. "Evaluating EU-Region level innovation readiness: A longitudinal analysis using principal component analysis and a constellation graph index approach," Journal of Business Research, Elsevier, vol. 159(C).
    5. Nanik Kustiningsih & Bambang Tjahjadi & Noorlailie Soewarno, 2022. "Projecting Experience of Technology-Based MSMEs in Indonesia: Role of Absorptive Capacity Matter in Strategic Alliances and Organizational Performance Relationship," Sustainability, MDPI, vol. 14(19), pages 1-19, September.

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