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Scratching the surface: Exploratory analysis of key opinion leaders on rate limiting factors in novel adjuvanted-vaccine development

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  • Pronker, Esther
  • Weenen, Tamar
  • Commandeur, Harry
  • Claassen, E.
  • Osterhaus, A.D.M.E.

Abstract

This exploratory qualitative article analyzes the potentially rate-limiting factors affecting value chain dynamics during adjuvanted-vaccine development. Adjuvants are considered immunostimulating substances that can be added to a vaccine. Although adjuvants have the potential to elicit adverse reactions, they also offer certain benefits. After approximately 90years of R&D, why have only four adjuvants been approved? Although ample literature is available describing the risks and benefits, it remains unclear as to how these potentially rate-limiting factors compare.

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  • Pronker, Esther & Weenen, Tamar & Commandeur, Harry & Claassen, E. & Osterhaus, A.D.M.E., 2015. "Scratching the surface: Exploratory analysis of key opinion leaders on rate limiting factors in novel adjuvanted-vaccine development," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 420-432.
    • Handle: RePEc:eee:tefoso:v:90:y:2015:i:pb:p:420-432
    DOI: 10.1016/j.techfore.2014.04.017
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    References listed on IDEAS

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    1. Toshiaki Iizuka, 2007. "Experts' agency problems: evidence from the prescription drug market in Japan," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 844-862, September.
    2. David E. Bloom & David Canning & Mark Weston, 2005. "The Value of Vaccination," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 6(3), pages 15-39, July.
    3. Sabatier, Valerie & Craig-Kennard, Adrienne & Mangematin, Vincent, 2012. "When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry," Technological Forecasting and Social Change, Elsevier, vol. 79(5), pages 949-962.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. 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.
    6. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    7. Tom Blackett, 2001. "Branding and its potential within the pharmaceutical industry," Palgrave Macmillan Books, in: Tom Blackett & Rebecca Robins (ed.), Brand Medicine, chapter 0, pages 9-26, Palgrave Macmillan.
    8. Valérie Sabatier & Adrienne Kennard & Vincent Mangematin, 2012. "When technological discontinuities and disruptive business models challenge dominant industry logics: insights from the drugs industry," Grenoble Ecole de Management (Post-Print) hal-00658727, HAL.
    9. Valérie Sabatier & Adrienne Kennard & Vincent Mangematin, 2012. "When technological discontinuities and disruptive business models challenge dominant industry logics: insights from the drugs industry," Post-Print hal-00658727, HAL.
    10. Munari, Federico & Toschi, Laura, 2014. "Running ahead in the nanotechnology gold rush. Strategic patenting in emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 194-207.
    11. DiMasi, Joseph A. & Hansen, Ronald W. & Grabowski, Henry G., 2003. "The price of innovation: new estimates of drug development costs," Journal of Health Economics, Elsevier, vol. 22(2), pages 151-185, March.
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