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Trusted Research and Innovation: How knowledge leakage affects the Research & Innovation ecosystem

Author

Listed:
  • Searle, Nicola
  • Ganglmair, Bernhard
  • Borghi, Maurizio

Abstract

A robust Research & Innovation (R&I) ecosystem is essential for progress, economic resilience, and addressing complex challenges. At the heart of this ecosystem, knowledge fuels innovation and further discovery. However, knowledge leakage (the loss of valuable information) can disrupt this cycle. This poses a challenge for what is known as Trusted Research & Innovation (TRI), a framework designed to strengthen research security, protect national interests, and build resilient research systems. Despite its significance, the challenges of TRI remain poorly understood. This report investigates knowledge leakage. It begins with an overview of the TRI context, focusing on policymaking, and then reviews the literature on knowledge leakage and related concepts. An exploratory data analysis examines novel empirical data to better understand the extent of knowledge leakage and how it impacts economic areas of defence, economic, and national security importance. The data analysis finds that industries deemed important for economic and national security (the UK's 'sensitive economic areas') have an 18% higher incidence of leakage than those that are not.

Suggested Citation

  • Searle, Nicola & Ganglmair, Bernhard & Borghi, Maurizio, 2025. "Trusted Research and Innovation: How knowledge leakage affects the Research & Innovation ecosystem," ZEW Discussion Papers 25-030, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:321868
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    References listed on IDEAS

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    1. Helio Aisenberg Ferenhof, 2016. "Recognizing Knowledge Leakage and Knowledge Spillover and Their Consequences," International Journal of Knowledge and Systems Science (IJKSS), IGI Global Scientific Publishing, vol. 7(3), pages 46-58, July.
    2. Crass, Dirk & Valero, Francisco Garcia & Pitton, Francesco & Rammer, Christian, 2019. "Protecting Innovation Through Patents and Trade Secrets: Evidence for Firms with a Single Innovation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26(1), pages 117-156.
    3. Nicole Adler & Niron Hashai, 2007. "Knowledge flows and the modelling of the multinational enterprise," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 639-657, July.
    4. Andrea Andrenelli & Julien Gourdon & Evdokia Moïsé, 2019. "International Technology Transfer Policies," OECD Trade Policy Papers 222, OECD Publishing.
    5. Jasjit Singh & Ajay Agrawal, 2011. "Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires," Management Science, INFORMS, vol. 57(1), pages 129-150, January.
    6. Manuel Acosta & Daniel Coronado & Rosario Marín & Pedro Prats, 2013. "Factors affecting the diffusion of patented military technology in the field of weapons and ammunition," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 1-22, January.
    7. Jeffrey L. Furman & Markus Nagler & Martin Watzinger, 2021. "Disclosure and Subsequent Innovation: Evidence from the Patent Depository Library Program," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 239-270, November.
    8. repec:spo:wpmain:info:hdl:2441/3jesolrqda8pl9qj4osla4hevt is not listed on IDEAS
    9. Bernhard Ganglmair & Emanuele Tarantino, 2014. "Conversation with secrets," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 273-302, June.
    10. Sudipto Bhattacharya & Sergei Guriev, 2006. "Patents vs. Trade Secrets: Knowledge Licensing and Spillover," Journal of the European Economic Association, MIT Press, vol. 4(6), pages 1112-1147, December.
    11. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    12. David R. Hannah & Kirsten Robertson, 2015. "Why and How Do Employees Break and Bend Confidential Information Protection Rules?," Journal of Management Studies, Wiley Blackwell, vol. 52(3), pages 381-413, May.
    13. Blind, Knut, 2012. "The influence of regulations on innovation: A quantitative assessment for OECD countries," Research Policy, Elsevier, vol. 41(2), pages 391-400.
    14. Lauren E. Aydinliyim, 2022. "The Case for Ethical Non-compete Agreements: Executives Versus Sandwich-Makers," Journal of Business Ethics, Springer, vol. 175(3), pages 651-668, January.
    15. Hyo Kang & Wyatt Lee, 2022. "How innovating firms manage knowledge leakage: A natural experiment on the threat of worker departure," Strategic Management Journal, Wiley Blackwell, vol. 43(10), pages 1961-1982, October.
    16. Bozeman, Barry & Rimes, Heather & Youtie, Jan, 2015. "The evolving state-of-the-art in technology transfer research: Revisiting the contingent effectiveness model," Research Policy, Elsevier, vol. 44(1), pages 34-49.
    17. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    18. E.C. Martins & F. Terblanche, 2003. "Building organisational culture that stimulates creativity and innovation," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 6(1), pages 64-74, March.
    19. Edler, Jakob & Fier, Heide & Grimpe, Christoph, 2011. "International scientist mobility and the locus of knowledge and technology transfer," Research Policy, Elsevier, vol. 40(6), pages 791-805, July.
    20. Sudipto Bhattacharya & Sergei Guriev, 2006. "Patents vs. Trade Secrets: Knowledge Licensing and Spillover," Journal of the European Economic Association, MIT Press, vol. 4(6), pages 1112-1147, December.
    21. Roper, Stephen & Hewitt-Dundas, Nola, 2015. "Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data," Research Policy, Elsevier, vol. 44(7), pages 1327-1340.
    22. repec:hal:spmain:info:hdl:2441/3jesolrqda8pl9qj4osla4hevt is not listed on IDEAS
    23. Bozeman, Barry, 2000. "Technology transfer and public policy: a review of research and theory," Research Policy, Elsevier, vol. 29(4-5), pages 627-655, April.
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    Keywords

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    JEL classification:

    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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