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A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings

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  • Petersen, Alexander M.
  • Rotolo, Daniele
  • Leydesdorff, Loet

Abstract

We develop a model of innovation that enables us to trace the interplay among three key dimensions of the innovation process: (i) demand of and (ii) supply for innovation, and (iii) technological capabilities available to generate innovation in the forms of products, processes, and services. Building on triple helix research, we use entropy statistics to elaborate an indicator of mutual information among these dimensions that can provide indication of reduction of uncertainty. To do so, we focus on the medical context, where uncertainty poses significant challenges to the governance of innovation. We use the Medical Subject Headings (MeSH) of MEDLINE/PubMed to identify publications within the categories “Diseases” (C), “Drugs and Chemicals” (D), “Analytic, Diagnostic, and Therapeutic Techniques and Equipment” (E) and use these as knowledge representations of demand, supply, and technological capabilities, respectively. Three case-studies of medical research areas are used as representative ‘entry perspectives’ of the medical innovation process. These are: (i) human papilloma virus, (ii) RNA interference, and (iii) magnetic resonance imaging. We find statistically significant periods of synergy among demand, supply, and technological capabilities (C-D-E) that point to three-dimensional interactions as a fundamental perspective for the understanding and governance of the uncertainty associated with medical innovation. Among the pairwise configurations in these contexts, the demand–technological capabilities (C-E) provided the strongest link, followed by the supply–demand (D-C) and the supply–technological capabilities (D-E) channels.

Suggested Citation

  • Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    • Handle: RePEc:eee:respol:v:45:y:2016:i:3:p:666-681
    DOI: 10.1016/j.respol.2015.12.004
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    as
    1. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    2. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    3. Megan Scudellari, 2013. "HPV: Sex, cancer and a virus," Nature, Nature, vol. 503(7476), pages 330-332, November.
    4. Bulat Sanditov & Saurabh Arora, 2015. "Social network and private provision of public goods," Post-Print hal-01266463, HAL.
    5. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    6. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    7. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    8. Andrew Fire & SiQun Xu & Mary K. Montgomery & Steven A. Kostas & Samuel E. Driver & Craig C. Mello, 1998. "Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans," Nature, Nature, vol. 391(6669), pages 806-811, February.
    9. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    10. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    11. M Ángeles Serrano & Alessandro Flammini & Filippo Menczer, 2009. "Modeling Statistical Properties of Written Text," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-8, April.
    12. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    13. William McGill, 1954. "Multivariate information transmission," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 97-116, June.
    14. Paul Nightingale & Tim Brady & Andrew Davies & Jeremy Hall, 2003. "Capacity utilization revisited: software, control and the growth of large technical systems," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(3), pages 477-517, June.
    15. Loet Leydesdorff & Ismael Rafols, 2011. "Local emergence and global diffusion of research technologies: An exploration of patterns of network formation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(5), pages 846-860, May.
    16. Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.
    17. Gabriele Pellegrino, 2015. "Barriers to Innovation: Can Firm Age Help Lower Them?," SPRU Working Paper Series 2015-33, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    19. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
    20. Johan Schot & Frank Geels, 2007. "Niches in evolutionary theories of technical change," Journal of Evolutionary Economics, Springer, vol. 17(5), pages 605-622, October.
    21. repec:ieb:wpaper:2013/6/doc2015-3 is not listed on IDEAS
    22. Martin, Ben R., 2012. "The evolution of science policy and innovation studies," Research Policy, Elsevier, vol. 41(7), pages 1219-1239.
    23. Bulat Sanditov & Saurabh Arora, 2015. "Social network and private provision of public goods," SPRU Working Paper Series 2015-35, SPRU - Science Policy Research Unit, University of Sussex Business School.
    24. Nelson, Richard R. & Winter, Sidney G., 1993. "In search of useful theory of innovation," Research Policy, Elsevier, vol. 22(2), pages 108-108, April.
    25. Peter Mutschke & Anabel Quan Haase, 2001. "Collaboration and Cognitive Structures in Social Science Research Fields. Towards Socio-Cognitive Analysis in Information Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 487-502, November.
    26. Ben R. Martin, 2016. "Twenty challenges for innovation studies," Science and Public Policy, Oxford University Press, vol. 43(3), pages 432-450.
    27. Ohid Yaqub, 2015. "Explaining Variation in Medical Innovation: The Case of Vaccines, and the HIV AIDS effort," SPRU Working Paper Series 2015-34, SPRU - Science Policy Research Unit, University of Sussex Business School.
    28. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    29. W. Garner & William McGill, 1956. "The relation between information and variance analyses," Psychometrika, Springer;The Psychometric Society, vol. 21(3), pages 219-228, September.
    30. Carlsson, Bo, 2006. "Internationalization of innovation systems: A survey of the literature," Research Policy, Elsevier, vol. 35(1), pages 56-67, February.
    31. Nelson, Richard R. & Buterbaugh, Kristin & Perl, Marcel & Gelijns, Annetine, 2011. "How medical know-how progresses," Research Policy, Elsevier, vol. 40(10), pages 1339-1344.
    32. Ivanova, Inga A. & Leydesdorff, Loet, 2014. "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university–industry–government relations," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 143-156.
    33. Ulanowicz, Robert E., 2009. "The dual nature of ecosystem dynamics," Ecological Modelling, Elsevier, vol. 220(16), pages 1886-1892.
    34. Bulat Sanditov & Saurabh Arora, 2015. "Social network and private provision of public goods," Grenoble Ecole de Management (Post-Print) hal-01266463, HAL.
    35. Cowan, Robin & Foray, Dominique, 1997. "The Economics of Codification and the Diffusion of Knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(3), pages 595-622, September.
    36. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    37. Lorenz Gollwitzer & David Ockwell & Adrian Ely, 2015. "Institutional Innovation in the Management of Pro-Poor Energy Access in East Africa," SPRU Working Paper Series 2015-29, SPRU - Science Policy Research Unit, University of Sussex Business School.
    38. Friedemann Polzin & Steve Sorrell & Colin Nolden, 2015. "Innovative Procurement Frameworks for Energy Performance Contracting in the UK Public Sector," SPRU Working Paper Series 2015-31, SPRU - Science Policy Research Unit, University of Sussex Business School.
    39. Gisela Di Meglio & Jorge Gallego & Andrés Maroto & Maria Savona, 2015. "Services in Developing Economies: A new chance for catching-up?," SPRU Working Paper Series 2015-32, SPRU - Science Policy Research Unit, University of Sussex Business School.
    40. Loet Leydesdorff & Inga A. Ivanova, 2014. "Mutual redundancies in interhuman communication systems: Steps toward a calculus of processing meaning," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 386-399, February.
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    More about this item

    Keywords

    Innovation model; Triple helix; Uncertainty; Redundancy; Synergy; Mutual information; Medical innovation; Medical Subject Headings; MEDLINE/PubMed;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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