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

38 Pages Posted: 11 May 2015 Last revised: 5 Jan 2016

See all articles by Alexander Michael Petersen

Alexander Michael Petersen

University of California Merced, Ernest and Julio Gallo Management Program

Daniele Rotolo

SPRU (Science Policy Research Unit), University of Sussex

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR)

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Date Written: January 4, 2016

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 classified 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.

Keywords: innovation model; Triple Helix; uncertainty; redundancy; synergy; mutual information; medical innovation; Medical Subject Headings; MEDLINE/PubMed

JEL Classification: O32, O33

Suggested Citation

Petersen, Alexander Michael and Rotolo, Daniele and Leydesdorff, Loet, A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in Terms of Medical Subject Headings (January 4, 2016). Research Policy, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2604702 or http://dx.doi.org/10.2139/ssrn.2604702

Alexander Michael Petersen (Contact Author)

University of California Merced, Ernest and Julio Gallo Management Program ( email )

School of Engineering
Science & Engineering 2, Suite 315
Merced, CA 95343
United States

Daniele Rotolo

SPRU (Science Policy Research Unit), University of Sussex ( email )

Jubilee Building - Room 383
Brighton, Sussex BN19SL
United Kingdom

HOME PAGE: http://www.danielerotolo.com

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR) ( email )

PO Box 15793
Amsterdam, 1001 NG
Netherlands

HOME PAGE: http://www.leydesdorff.net

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