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

•Complex innovation dynamics are analyzed in terms of interactions among supply, demand and technological capabilities.•Co-occurrences of MeSH descriptors can operationalize the interactions among supply, demand and technological capabilities.•Entropy statistics of mutual information inform about th...

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Vydáno v:Research policy Ročník 45; číslo 3; s. 666 - 681
Hlavní autoři: Petersen, Alexander M., Rotolo, Daniele, Leydesdorff, Loet
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.04.2016
Elsevier Sequoia S.A
Témata:
Chemicals
Drugs
Entropy
Governance
Health economics
Human papillomavirus
Innovation model
Innovations
Magnetic resonance imaging
Medical innovation
Medical research
Medical Subject Headings
Medical technology
MEDLINE/PubMed
Mutual information
Redundancy
Statistics
Studies
Subject heading schemes
Subject headings
Supply & demand
Synergy
Technological change
Triple helix
Uncertainty
Viruses
Innovation model
MEDLINE/PubMed
Uncertainty
Medical innovation
Redundancy
Triple helix
Synergy
Medical Subject Headings
Mutual information
ISSN:0048-7333, 1873-7625
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Shrnutí:•Complex innovation dynamics are analyzed in terms of interactions among supply, demand and technological capabilities.•Co-occurrences of MeSH descriptors can operationalize the interactions among supply, demand and technological capabilities.•Entropy statistics of mutual information inform about the reduction of uncertainty in the innovation process.•Uncertainty is reduced after medical breakthrough discoveries and technological developments.•The MeSH classification is found to be an efficient communication system. 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.
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ISSN:0048-7333
1873-7625
DOI:10.1016/j.respol.2015.12.004