Most universities in both developed and developing countries have become more entrepreneurial due to economic hardships and capital shortages. Hence the current focus of using research on commercialization is to generate revenues. A significant propor...
Most universities in both developed and developing countries have become more entrepreneurial due to economic hardships and capital shortages. Hence the current focus of using research on commercialization is to generate revenues. A significant proportion of unemployed population in Zimbabwe are graduates from universities and other higher tertiary institutions. Zimbabwe is characterized by the highest unemployment rate (about 90%) in Southern Africa despite being the country with the highest literacy ranking in Africa. The capacity utilization by manufacturing companies in Zimbabwe has dwindled down to 39% from 57% in 2011 (Confederation of Zimbabwe Industries, 2013). This indicates a big challenge for the country in terms of employment creation, poverty reduction and socio-economic development. There is increased pressure on universities to act as a bridge for transfer of knowledge to industries and generate resources.
This paper is based on the case studies of Harare Institute of Technology (Zimbabwe) and Yonsei University and POSTECH University (South Korea) in order to propose the best model for technology transfer, examine the success factors and constraints in establishing sustainable university-industry linkages as well as suggesting strategies for sustainable industrialization. Qualitative research methods is used and most information is gathered using secondary sources such as journals, websites, government policies and also semi-structured interviews for few respondents from Harare Institute of Technology and its partner companies.
The key success factors identified included the following: good communication and cooperation from the partners, collaborative investment on research and development, human resource development, political and economic stability and the supportive regulation environment whilst constraints identified are lack of advanced laboratories; inadequate financial support, conflict of interests and lack of detailed policies on intellectual property. -The paper propose the adoption of the Non-Linear Multi-Helix model as the feasible solution for effective technology transfer and commercialization.