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Liczba wyników
2017 | nr 16(1) | 49--61
Tytuł artykułu

Knowledge Transfer in Poland and Portugal (CLOSING Phase) - Summary of Cotrans Project

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The transfer of knowledge is a dynamic phenomenon. It creates knowledge in the organization and can be considered as the basis for implementing the complex process of continuous learning. It constitutes a permanent relation between the science and business and is a fundamental element which improves the latter's efficiency. The aim of the paper is both to identify the enablers and barriers of knowledge transfer in selected EU countries and present a model of knowledge transfer elaborated during two years of COTRANS project realization. The structured interview method is used in the paper as well as comparative analysis method. The research was conducted in 2016, among 54 IT, medical and tourist enterprises from Portugal, Poland, Sweden, Denmark and Italy. The paper presents part of the results. The additional part of the paper is a potential model presentation with a list of recommendations how to make the knowledge transfer between academia and business effective, that was the main goal of the international project COTRANS (Conditionings of Knowledge Transfers and Innovative Activity of Enterprises).(original abstract)
Rocznik
Numer
Strony
49--61
Opis fizyczny
Twórcy
  • University of Gdansk, Poland
  • WSB University in Torun, Poland
  • Polytechnic of Porto, Portugal
autor
  • University of Gdansk, Poland
autor
  • University of Gdansk, Poland
  • WSB University in Toruń, Poland
  • Polytechnic of Porto, Portugal
autor
  • Polytechnic of Porto, Portugal
  • Polytechnic of Porto, Portugal
Bibliografia
  • Anatan, L. (2015). Conceptual Issues in University to Industry Knowledge Transfer Studies: A Literature Review. Procedia - Social and Behavioral Sciences, 211, 711-717. http://doi.org/10.1016/j.sbspro.2015.11.090
  • Ankrah, S., & AL-Tabbaa, O. (2015). Universities-industry collaboration: A systematic review. Scandinavian Journal of Management, 31(3), 387-408. http://doi.org/10.1016/j.scaman. 2015.02.003
  • Azar, O. H. (2008). Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant. Harvard Business School Press, (2005). Long Range Planning. http://doi.org/10.1016/j.lrp.2008.02.003
  • Barnes, T., Pashby, I., & Gibbons, A. (2002). Effective university - Industry interaction: A multi-case evaluation of collaborative R&D projects. European Management Journal, 20(3), 272-285.
  • Bekkers, R., & Freitas, I. M. B. (2008). Analysing knowledge transfer channels between universities and industry: To what degree do sectors also matter? Research Policy, 37(10), 1837-1853.
  • Bjerregaard, T. (2010). Industry and academia in convergence: Micro-institutional dimensions of R&D collaboration. Technovation, 30(2), 100-108.
  • Bourletidis, D. (2014). The Strategic Model of Innovation Clusters: Implementation of Blue Ocean Strategy in a Typical Greek Region. Procedia - Social and Behavioral Sciences, 148, 645-652. http://doi.org/10.1016/j.sbspro.2014.07.093
  • Brown, T. (2009). Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation. New York: Harpers Collins Publishers.
  • Canhoto, A. I., Quinton, S., Jackson, P., & Dibb, S. (2016). The co-production of value in digital, university-industry R&D collaborative projects. Industrial Marketing Management. http://doi.org/10.1016/j.indmarman.2016.03.010
  • D'Este, P., Guy, F., & Iammarino, S. (2013). Shaping the formation of university-industry research collaborations: What type of proximity does really matter? Journal of Economic Geography, 13(4), 537-558.
  • Dryl W., PhD, Dryl T, PhD, Nelson Jorge Ribeiro Duarte, Anna Dziadkiewicz, J. Nieżurawska, L. Niezurawski, Tiago Fernando Ferreira Lopes, MA Carla Sofia Gonçalves Pereira, Vitor Ricardo Santos (2015), Knowledge Transfer in Network Organization. An example of the Polish-Portuguese Network of Researchers (preliminary phase), Torun Business Review, Torun Business Review, vol 14, no 1, 37- 46.
  • Duarte, N., Santos, V., Dziadkiewicz, A., Niezurawska, J., Dryl, W., Dryl, T., ... Lopes, T. (2016). A literature review on barriers and enhancers of Knowledge Transfer. In Information in Society in the 21st Century. Olsztyn, Poland.
  • Dziadkiewicz, A. (2015). Innowacja oparta na designie w przemyśle kreatywnym - między teorią a praktyką. In G. Voss & Z. Wyszkowska (Eds.), Innowacje w Procesie Zarządzania (Zeszyty Na, pp. 27-42). Bydgoszcz: Wydawnictwa Uczelniane Uniwersytetu Technologiczno-Przyrodniczego.
  • Dziadkiewicz, A., & Niezurawska, J. (2014). Design of a learning process for SME managers (in different generations). In A. Richert-Kaźmierska & E. Lechman (Eds.), Creating Entrepreneurial Mindset (pp. 49-60). Via University College Denmark.
  • EU. (2007). Improving knowledge transfer between research institutions and industry across Europe. Belgium.
  • Formica, P., Mets, T., & Varblane, U. (2008). Knowledge Transfer Mechanisms in the European Transition Economies. In Entrepreneurship and Higher Education (J. Pottter). OECD Publishing.
  • Gupta, H., & Barua, M. K. (2015). Identifying enablers of technological innovation for Indian MSMEs using best-worst multi criteria decision making method. Technological Forecasting and Social Change. Elsevier Inc.
  • Huang, M. H., & Chen, D. Z. (2015). How can academic innovation performance in university industry collaboration be improved? Technological Forecasting and Social Change. http://doi.org/10.1016/j.techfore.2016.03.024
  • Jones, A. (2008). The Innovation Acid Test. Triarchy Press.
  • Kim, Y. (2009). Choosing between international technology licensing partners: An empirical analysis of U.S. biotechnology firms. Journal of Engineering and Technology Management - JET-M, 26(1-2), 57-72.
  • Lockwood, T. (2010). Design Thinking. Integrating Innovation, Customer Experience, and Brand Value. New York: Allworth Press.
  • Maietta, O. W. (2015). Determinants of university-firm R&D collaboration and its impact on innovation: A perspective from a low-tech industry. Research Policy, 44(7), 1341-1359.
  • Mládková, L. (2014). Knowledge Strategy: Key Player or Relict of the Past? Procedia - Social and Behavioral Sciences, 150, 628-636. http://doi.org/10.1016/j.sbspro.2014.09.082
  • Mueller, P. (2006). Exploring the knowledge filter: How entrepreneurship and university industry relationships drive economic growth. Research Policy, 35(10), 1499-1508.
  • Niezurawska, J., Dziadkiewicz, A., Niezurawski, L., Duarte, N., Pereira, C., & Santos, V. (2016). Enablers and Barriers of Knowledge Transfer in selected EU Countries as Viewed by IT enterprises. In Research Papers on Knowledge, Innovation and Enterprise (pp. 47-62). Philadelphia: KIE Conference Publications.
  • Niezurawska, J., & Śmiatacz, K. (2012). Conditions for Transfers of Knowledge in Poland and Highly Developed Countries. Polish Association for Knowledge Management Series, Studies & Proceedings, 61, 77-90.
  • OECD. (2005). Oslo Manual Guidelines For Collecting and Interpreting Innovation in Communities (The Measurement of Scientific and Technological Activities). (Array, Ed.)Eurostat (Vol. Third edit). OECD Publishing. Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Oslo+Manual
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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