Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2019 | 19 | nr 1 | 53--65
Tytuł artykułu

Technological Convergence in the Life-Science Sector and Its Impact on Research, Business and R&D Policies

Warianty tytułu
Języki publikacji
Technological convergence in the life-science industry brings forth new technologies, increases product complexity and drives researchers and companies to enter into collaborative R&D arrangements or production activities. However, rapid advances in the life-science and its applications are forcing transformation of the market conditions and public R&D policies. The new market conditions, require companies to reorient and expand their business model strategies towards more integrated and complex systems of vertical and horizontal partnerships, both with academia, scientific institutions, contract researchers and manufacturing companies. The following paper overviews the issues around convergence in the life-science industry, including its drivers and relationship to the R&D and knowledge networks, business models and innovation supporting policies. The aim of the study is to provide the analysis of the impact of technological convergence in the life-science industry on market conditions, formation of knowledge networks and government R&D policies. The paper applies quantitative and qualitative research methods. The first one refers to the critical review of the subject literature in order to identify current trends and drivers behind in the life science industry; the second one applies qualitative study and the direct observation, in order to determine to which extend these trends are related to the technological convergence and what is their impact on business models, university R&D and knowledge networks. The paper ends with the conclusions and policy suggestions relative to the business and public policy sectors to further unlock the research and business potential within the life-science sector and university-based innovation ecosystems. (original abstract)
Opis fizyczny
  • Transformation, Integration and Globalization Economics Research Center (TIGER); Kozminski University, Poland
  • Balas, E.A. (2018) Innovative research in life sciences: Pathways to scientific impact, public health improvement, and economic Progress. Wiley & Sons.
  • Kim, D.G., & Choi, S.O. (2018). Impact of construction IT technology convergence innovation on business performance. Sustainability, 10(11), 1-16.
  • Durst, S., & Poutanen, P. (2013). Success factors of innovation ecosystems - Initial insights from a literature review. In: Smeds, R., Irrmann, O. (Eds.), Co-create 2013: The boundary-crossing conference on co-design in innovation (pp. 27-38). Aalto.
  • Enzing, C.B, Benedictus, J.N., Engelen-Smeets, E, Senker, J., Martin, P. et al. (1999). Inventory of public biotechnology R&D programmes in Europe. Volume I: Analytical report, Luxembourg.
  • European Commission (2002). Life sciences and biotechnology - A strategy for Europe. European Commission, COM(2002) 27. Retrieved in 2019, from
  • European Commission (2012). Innovating for sustainable growth: a bioeconomy for Europe. European Commission. Retrieved in 2019, from
  • European Commission (2015). The 2015 ageing report. Economic and budgetary projections for the 28 EU member states (2013-2060). Brussels: European Commission. Directorate-General for Economic and Financial Affairs.
  • European Commission (2017). Regional Ecosystem Scoreboard. European Commission. Retrieved in 2019, from
  • Evald, M.R., Klyver, K., & Svendsen, S.G. (2006). The changing importance of the strength of ties throughout the entrepreneurial process, Journal of Enterprising Culture, 14(1), 1-26.
  • Hicks, J., & Atkinson, R.D. (2012). Eroding our foundation: sequestration, R&D, innovation and U.S. economic growth. Information Technology and Innovation Foundation, September 2012. Retrieved in 2019, from http://ww2.itif/org/2012-eroding-foundation.pdf
  • Khilji, S.E., Mroczkowski, T., & Assudani, R. (2012). Balancing innovation and growth in Indian biotech firms. South Asian Journal of Global Business Research, 1(2), 256-275.
  • OECD (2009). The Bioeconomy to 2030. Designing a policy agenda (OECD International Futures Project). Retrieved in 2019, from
  • Reiss, T., Calvert J., Dominguez-Lacasa, J., Enzing, C. et al. (2003). Efficiency of innovation policies in high technology sectors in Europe (EPOHITE). Final Report, Luxembourg.
  • Runiewicz-Wardyn, M. (2013). Knowledge flows, technological change and regional growth in the European Union. Springer.
  • Runiewicz-Wardyn, M. (2016). Universities, social capital formation and biotechnology clusters in the EU (TIGER Working Paper Series, No. 135). Transformation, Integration and Globalization Economic Research. Warsaw.
  • Smith, H.A., & McKeen, J.D. (2003). Developments in practice viii: Enterprise content management. Commun. Associat. Inform. Syst., 11, 647-659.
  • Steinfield W., & Scupola, A. (2008). Understanding the role of ICT networks in a biotechnology cluster: an exploratory study of Medicon Valley. The Information Society, 24(5), 319-333.
  • USDC (2016). 2016 ITA pharmaceuticals top markets report. U.S. Department of Commerce, Industry & Analysis, from Department website
  • Utterback, J.M., & Abernathy, W.J. (1975). A dynamic model of process and product innovation. Omega, 3, 639-656.
  • Weinel, I., & Crossland, P. (1989). The scientific foundations of technological progress. Journal of Economic Issues, 23, 795-808.
  • White House (2012). National bioeconomy blueprint, White House 2012. Washington D.C. Retrieved in 2019, from
Typ dokumentu
Identyfikator YADDA

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.