Framework of Collaboration in Knowledge Transfer of High Technology Industries
2018 (English)In: Quality - Access to Success, ISSN 1582-2559, E-ISSN 2069-2242, Vol. 19, no 163Article in journal (Refereed) Published
Abstract [en]
Purpose - The concept of Triple Helix relates to collaboration between universities, governments and industry. Such collaboration can take different forms in different countries. This paper examines collaboration between universities and industry in China, specifically in the city of Hefei in Anhui province, one of the most rapidly developing regions in the country. In so doing, it seeks to address the research question: How does industry collaborate with universities in order to acquire commercialized knowledge?
Design/ Methodology/ Approach - The study is qualitative, based on interviews with experts in R & D, and Intellectual Property Rights from high-tech companies based in Hefei. We analyzed our findings using a conceptual framework that focuses on Knowledge Transfer and Innovation Diffusion (Liyanage et al, 2012). Our study describes and discusses the entire process, from an initial awareness of new knowledge to its eventual acquisition.
Findings and implications - We conclude that Chinese high-tech companies design comprehensive strategies for the acquisition of knowledge generated from external sources. These strategies are based on local, provincial and state government industrial policies that aim to support collaboration with universities and implement external knowledge in existing systems.
Originality - Commercialized knowledge put into practice by industries for their own innovation and commercial purposes.
Limitation - We interviewed industrial experts from three high-tech companies in the city of Hefei, which is located in an industrial area of Anhui province.
Place, publisher, year, edition, pages
2018. Vol. 19, no 163
Keywords [en]
Industrial strategy, knowledge, commercialization, acquisition, high-tech companies, industry, university, China
National Category
Information Systems, Social aspects
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-26901OAI: oai:DiVA.org:du-26901DiVA, id: diva2:1170128
2018-01-022018-01-022021-11-12Bibliographically approved