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A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings

Author

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  • Alexander Petersen

    (Laboratory for the Analysis of Complex Economic Systems, IMT Institute for Advanced Studies, Lucca, Italy)

  • Daniele Rotolo

    (SPRU, Science Policy Research Unit, University of Sussex, Brighton, United Kingdom)

  • Loet Leydesdor

    (Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, Netherlands)

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 capabil- ities 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 signi cant challenges to the governance of innovation. We use the Medical Subject Headings (MeSH) of MEDLINE/PubMed to identify publications classi ed within the categories \Diseases" (C), \Drugs and Chemicals" (D), \Analytic, Diagnostic, and Ther- apeutic 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 nd statistically signi cant 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 gov- ernance of the uncertainty associated with medical innovation. Among the pairwise con gurations 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

  • Alexander Petersen & Daniele Rotolo & Loet Leydesdor, 2016. "A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings," SPRU Working Paper Series 2016-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    • Handle: RePEc:sru:ssewps:2016-01
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    More about this item

    Keywords

    triple helix; Medical Subject Headings; MEDLINE/PubMed; synergy; innovation; knowledge order; mutual information; dynamic vocabulary; redundancy.;
    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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