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Return on Investment in Innovation: Implications for Institutions and National Agencies

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  • A. Heher

Abstract

Commercial success in universities in the USA and Canada has resulted in many other countries taking steps to emulate this performance and major technology transfer and commercialisation support programmes have been launched in UK, Europe, Australia, Japan and many other countries—including South Africa. Unrealistic expectations have, however, been generated by the spectacular successes of a relatively few institutions and it is not always realised that the success from commercialisation is proportional to the magnitude of the investment in research. Without a well funded, high quality research system, it is not possible for technology transfer to make any significant contribution to economic development. The possible economic returns to higher education institutions from commercialisation of research can be estimated using international benchmarks. This forecast uses a combination of an institutional return on investment model and a simple economic projection. The model is generic and can be adapted for use in any institution. As more data becomes available from local (and international) sources, the model will be refined to give better estimates. The model is dynamic and shows, quantitatively, why it can take up to 10 years for an institution, and 20 years nationally, to attain a positive rate of return from an investment in research and technology transfer. The model enables the long-term impact of policy decisions, in an institution and nationally, to be examined and alternative scenarios explored. The performance of individual institutions is, however, highly variable and unpredictable. This is even for those institutions that are comparable in size and maturity. A large portfolio of patents and licences is required to give a reasonable probability of positive returns. This may be possible at a national level, but is problematic in smaller institutions—and smaller countries. Because the benefits of the innovation system are captured largely at national level, with institutions having a high uncertainty, public sector support to reduce the institutional risk is necessary to assist institutions to make the necessary investments. Technology transfer is of course only one element of the overall research and innovation value chain. All elements must be functioning effectively to derive the economic and social benefits from research. In addition to a strong research system, adequate incentives must exist to encourage academics to participate, particularly with regard to the crucial initial step of invention disclosure. After disclosure, sufficient institutional capacity must be in place to take an idea, evaluate it, protect the intellectual property appropriately and then seek a path to commercialisation through either licensing or start-up company formation. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • A. Heher, 2006. "Return on Investment in Innovation: Implications for Institutions and National Agencies," The Journal of Technology Transfer, Springer, vol. 31(4), pages 403-414, July.
  • Handle: RePEc:kap:jtecht:v:31:y:2006:i:4:p:403-414
    DOI: 10.1007/s10961-006-0002-z
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    Citations

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    Cited by:

    1. Chiara PANCOTTI & Julie PELLEGRIN & Silvia VIGNETTI, 2014. "Appraisal of Research Infrastructures: Approaches, methods and practical implications," Departmental Working Papers 2014-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Del Bo, Chiara F., 2016. "The rate of return to investment in R&D: The case of research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 26-37.
    3. Gkoumas, Konstantinos & van Balen, Mitchell & Tsakalidis, Anastasios & Pekar, Ferenc, 2022. "Evaluating the development of transport technologies in European research and innovation projects between 2007 and 2020," Research in Transportation Economics, Elsevier, vol. 92(C).
    4. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2019. "Technological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to Patent," Papers 1905.09552, arXiv.org.
    5. B. Urban & J. Chantson, 2019. "Academic entrepreneurship in South Africa: testing for entrepreneurial intentions," The Journal of Technology Transfer, Springer, vol. 44(3), pages 948-980, June.
    6. Thomas Brenner & Sidonia von Ledebur, 2008. "Academic Inventors' Choice of Transfer Channels Dependent on Commercialisation Experience - a Theoretical Model," Working Papers on Innovation and Space 2008-01, Philipps University Marburg, Department of Geography.
    7. Kuo-Feng Huang & Chwo-Ming Yu, 2011. "The effect of competitive and non-competitive R&D collaboration on firm innovation," The Journal of Technology Transfer, Springer, vol. 36(4), pages 383-403, August.
    8. Muhammed Sajid & Myriam Ertz, 2024. "Blueprints to Benefits: Towards an Index to Measure the Impact of Sustainable Product Development on the Firm’s Bottom Line," Sustainability, MDPI, vol. 16(2), pages 1-25, January.
    9. Jason Coupet & Yuhao Ba, 2022. "Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis," The Journal of Technology Transfer, Springer, vol. 47(2), pages 605-620, April.
    10. Chiara Marzocchi & Fumi Kitagawa & Mabel Sánchez-Barrioluengo, 2019. "Evolving missions and university entrepreneurship: academic spin-offs and graduate start-ups in the entrepreneurial society," The Journal of Technology Transfer, Springer, vol. 44(1), pages 167-188, February.
    11. Andrea Bonaccorsi & Daniele Biancardi & Mabel Sanchez Barrioluengo & Federico Biagi, 2019. "Study on Higher Education Institutions and Local Development," JRC Research Reports JRC117272, Joint Research Centre.
    12. Dilger, Alexander, 2015. "Drittmittelorientierung als Risiko für Hochschulen," Discussion Papers of the Institute for Organisational Economics 12/2015, University of Münster, Institute for Organisational Economics.
    13. Jisun Kim & Tugrul Daim, 2014. "A new approach to measuring time-lags in technology licensing: study of U.S. academic research institutions," The Journal of Technology Transfer, Springer, vol. 39(5), pages 748-773, October.
    14. Isabel Maria Bodas Freitas & Bart Verspagen, 2009. "The motivations, organisation and outcomes of university-industry interaction in the Netherlands," Working Papers on Innovation Studies 20090304, Centre for Technology, Innovation and Culture, University of Oslo.
    15. Ana Lara GÓMEZ, 2015. "Technological Spillovers of Research Infrastructures," Departmental Working Papers 2015-18, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    16. Santos Márcia R. C. & Laureano Raul M. S., 2023. "Unveiling management trends in the public sector: A literature review and research agenda," Central European Journal of Public Policy, Sciendo, vol. 17(2), pages 63-81, December.
    17. Hameeda A. AlMalki & Christopher M. Durugbo, 2023. "Systematic review of institutional innovation literature: towards a multi-level management model," Management Review Quarterly, Springer, vol. 73(2), pages 731-785, June.
    18. Sandeep Singhai & Ritika Singh & Harish Kumar Sardana & Anuradha Madhukar, 2021. "Analysis of Factors Influencing Technology Transfer: A Structural Equation Modeling Based Approach," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    19. Chiara F. DEL BO, 2014. "The rate of return to investment in R&D infrastructure: an overview," Departmental Working Papers 2014-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    20. Kadigia Faccin & Christle Beer & Bibiana Volkmer Martins & Grabriela Zanandrea & Neta Kela & Corne Schutte, 2022. "What really matters for TTOs efficiency? An analysis of TTOs in developed and developing economies," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1135-1161, August.
    21. Modic, Dolores & Suklan, Jana, 2022. "Multidimensional experience and performance of highly skilled administrative staff: Evidence from a technology transfer office," Research Policy, Elsevier, vol. 51(10).
    22. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2022. "Big science and innovation: gestation lag from procurement to patents for CERN suppliers," The Journal of Technology Transfer, Springer, vol. 47(2), pages 531-555, April.

    More about this item

    Keywords

    technology transfer; benchmarks; models; developing country capacity; O31; O32;
    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
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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