Evaluating the Intertwined Relationships of the Drivers for University Technology Transfer

Abstract

Universities are the best places to gather knowledge and innovation, but the basis of technological development lies in talented R&D personnel who provide services to enterprise R&D activities, research institutions, and universities. Universities also gather many elites who cultivate talent for the country. However, universities do not have adequate technology transfer experience and do not network in industrial circles, which results in a huge gap between the concept and the practical result. This research determined the critical success factors and explored the causal relationships influencing the technology transfer from universities. We found that the main impact of the key factors was the technology market dimension. University technology transfer activities had to be classified as top priority. Technology industrial applicability was the main key evaluation factor, along with inventor attitude. In the organizational culture dimension, the attitude and ability of top management were the main evaluation factors. We attempted to draw upon our analysis results to make recommendations related to technology transfer to assist universities in successfully transferring their research results.

A New Grey Target Evaluation Method of Science and Technology Talents Considering ‘Dominant-Implicit’ Reference Points

“…There are two ways to express interval grey numbers, one being the conventional data range expression (see the data on the left of each column in the table) and the other being the combination expression of a kernel and the degree of greyness (see the data on the right of each column in the table). [15,20] 17.5 0.25 [9,10] 9.5 0.08 [4,6] 5.0 0.33 [22,30] 26.0 0.13 [10,15] 12.5 0.17 S 2 [20,22] 21.0 0.10 [12,14] 13.0 0.15 [4,7] 5.5 0.50 [30,35] 32.5 0.08 [25,32] 28.5 0.24 S 3 [16,30] 23.0 0.70 [11,13] 12.0 0.15 [5,8] 6.5 0.50 [40,50] 45.0 0.17 [18,28] 23.0 0.34 S 4 [25,30] 27.5 0.25 [13,18] 15.5 0.38 [7,9] 8.0 0.33 [60,65] 62.5 0.08 [20,35] 27.5 0.52 S 5 [22,24] 23.0 0.10 [10, 13] 11.5 0.23 [4,6] 5.0 0.33 [45,50] 47.5 0.08 …”

“…High-tech companies are exposed to eight dimensions of risk, including technology risk, capital risk, patent risk, talent risk, management risk, policy risk, industry risk and market risk, while achieving high returns through technological innovation [7]. Universities, although they gather many elites and train talents for the country, do not have enough experience in technology transfer or networks in industry and should focus on technology transfer activities, whose technology market applicability, attitude and ability of talents are key factors [8]. In enhancing corporate innovation, attention should be paid to macro regulation and supervision of green technologies, optimization of environmental management, strengthening of incentives for green innovation talents and strengthening of green technology R&D and service centers [9].…”

Factors Affecting R&D Share in University Revenues: Case of Russia

“…At the same time at the level of individual researchers, Audretsch et al (2006) found the negative influence of citations on scientific commercialization. Sun (2021) highlights the importance of the attitude and ability of top university management in achieving good R&D results. Other papers also mention such factors as university-industry cooperation, flexible management systems, and national promotion of entrepreneurial behavior in general (Carayannis et al 2016).…”

Spatiotemporal characteristics and influencing factor analysis of universities’ technology transfer level in China: The perspective of innovation ecosystems

“…On the one hand, some of the influencing factors are internal to the university, such as the lack of well-trained staff and inventions processing capacity [ 12 ], insufficient rewards for faculty involvement in UTT [ 32 ], university’s academic eminence [ 33 ], medical schools [ 34 ] and science parks [ 35 ]. Sun [ 36 ] used the DEMATEL information analysis method to discuss the key UTT internal factors, with results showing that the effect of different factors on UTT widely varied. Institutions and infrastructure are supportive of increasing university patents [ 37 , 38 ].…”