Value Generation from Industry-Science Linkages in Light of Targeted Open Innovation
The chapter provides a substantial overview of features and channels of knowledge and technology transfer in light of achieving impact from science and research. A taxonomy of transfer channels is proved and levels of impact from science and technology on innovation is proposed. It’s found that there are different levels of value generated from STI, each featuring different stakeholders with different agendas and expectations. The authors argue that to make knowledge and technology transfer impactful and sustainable a long term and holistic view and approach is required. Against most literature about technology and knowledge transfer this work presents an overarching overview of objects, channels and features of partners involved in transfer. It features technology and knowledge transfer from a holistic perspective and provides useful background for future empiric studies and impact assessments.
KeywordsOpen innovation Technology transfer Knowledge transfer Public research
The book chapter was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of the subsidy granted to the HSE by the Government of the Russian Federation for the implementation of the Global Competitiveness Program.
- Döring T, Schnellenbach J (2004) What do we know about geographical knowledge spillovers and regional growth?—a survey of the literature. Deutsche Bank Research, Research notes, Working paper series, No. 14, 12 Oct 2004Google Scholar
- Doz Y, Santos J, Wiliamson P (2004) Is your innovation process global? INSEAD working paper series 2004/09/SMGoogle Scholar
- Fallick B, Fleischman CA, Rebitzer JB (2004) Job-hopping in silicon valley: the micro-foundations of a high technology cluster. The National Bureau of Economic Research, 6/14/2004Google Scholar
- Gibson D, Butler J (2013) Research Universities in the framework of regional innovation ecosystem: the case of Austin, Texas. Foresight-Russia 7(2):42–57 (in Russian)Google Scholar
- Kindras A, Meissner D, Vishnevskiy K (2014) Regional foresight for bridging national science, technology, and innovation with company innovation: experiences from Russia. J Knowl Econ:1–22Google Scholar
- Meissner D, Sultanian E (2007) Wissens-und Technologietransfer: Grundlagen und Diskussion von Studien und Beispielen. CEST, Zentrum für Wissenschafts-und Technologiestudien, BernGoogle Scholar
- OECD (2002) Benchmarking industry-science relationships. OECD, ParisGoogle Scholar
- OECD (2003) Turning science into business. Patenting and licensing at Public Research Organisations. OECD, ParisGoogle Scholar
- Sarpong D, AbdRazak A, Alexander E, Meissner D (2015) Organizing practices of university, industry and government that facilitate (or impede) the transition to a hybrid triple helix model of innovation. Technol Forecast Soc Chang, in print. https://doi.org/10.1016/j.techfore.2015.11.032