The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

Chen, Xiaoxiao; Shu, Xiaoyan

doi:10.1109/access.2021.3087659

Cited by 16 publications

(12 citation statements)

References 49 publications

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“…As such, the patent is an important instrument of technology transfer between university and industry, which is in line with the literature (e.g., Siegel et al, 2004). The set of indicators proposed reinforces the current view about the importance of measuring the capability of universities in developing and transferring technologies to society (Chen et al, 2009;Chen and Shu, 2021). From an empirical perspective, this study confirms the findings of Santos and Torkomian (2013) that verified a low patent licensing rate of the universities.…”

Section: Discussionsupporting

confidence: 89%

“…In this study, in a universe of 775 patents deposited between 2011 and 2021, only 22 were licensed (2.8% of the total). This article presents an alternative view in relation to some studies about university performance indicators (Daraio, Bonaccorsi and Simar, 2015;Kalapouti et al, 2017;Chen and Shu, 2021;Herberholz and Wigger, 2021;Luo, 2021) by presenting a proposal of performance indicators to measure the technological transfer of technologies by universities, including three perspectives, general, by the type of triple helix agents, and through the combination of the type of triple helix agent and knowledge area. Thanks to the combination of the ideal types of the triple helix (Etzkowitz, 1984;Leydesdorff and Etzkowitz, 1996;Etzkowitz and Leydesdorff, 2000) and the knowledge area of a patent, this study permits the assessment of the capability of a university to transfer patented technologies to society.…”

Section: Discussionmentioning

confidence: 99%

“…In this context, the elaboration of innovation performance indicators can be useful to universities to measure and improve their performance (Chen, Wang and Yang, 2009). There is a rich literature of models to assess university performance in the global aspects (Daraio, Bonaccorsi and Simar, 2015;Herberholz and Wigger, 2021), as well as those focused on innovation efficiency (Kalapouti et al, 2017;Chen and Shu, 2021;Luo, 2021).…”

Section: Introductionmentioning

confidence: 99%

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The Technology Transfer University Capability: A Case Study From the Triple Helix Perspective

Silva

Castro²,

Reis

2022

ECIE

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The role of universities as innovation agents has received recently considerable attention in academia. As such, this interest is important wherein university, besides the education and research, also can contribute to the economic and social development of society through the generation of innovations. Accordingly, it is important to assess their innovation capability. Even though the current perspective considers the innovation capability of a university thanks to the number of patents produced, from a Schumpeterian perspective, innovation occurs only one invention is commercialized. Based on this perspective, this article introduces a set of indicators to assess the innovation capability of universities, with a focus on the composition of assignees of a patent from the lens of triple helix theory. There are presented three types of indicators to measure the capability of a university to create and license its patents: general; based on the composition of assignees according to the triple helix (university, government, and industry/society); and according to the combination between the composition of patent assignees and the knowledge area. These indicators are validated through a case study in a Brazilian university through a documental analysis. There were analyzed data from 775 patents deposited and licensing agreements of a Brazilian university, ranging from 2011 to 2021. As an empirical result, this research revealed considerable differences in the number of patents deposited and licensed thanks to the type of the patent assignees, as well as their knowledge area. As a theoretical contribution, the framework of assessment of the patents introduced in this article seems to be a useful tool for analyzing the current innovation capability of a university, serving as a starting point to investigate its causes. As a practical implication, the framework introduced in this article can be readily used to assess the innovation capability of universities individually or comparatively.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Technology Transfer University Capability: A Case Study From the Triple Helix Perspective

Silva

Castro²,

Reis

2022

ECIE

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“…(2) Indicator normalization Because the indicators involved in this paper are benefit type due to the standard 0 to 1 transformation of the initial sample data without loss, high degree of reduction, and the method in various types of research in a wide range, this paper uses this method to achieve the normalization of the data (G. Chen et al, 2022;Hong & Huang, 2021;F. Liu et al, 2021;Wu et al, 2022;L.…”

Section: Modelmentioning

confidence: 99%

Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm

Su,

Dong,

et al. 2023

SAGE Open

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The digital economy is developing rapidly worldwide, which is of great strategic significance in leading and driving the process of high-quality and high-efficiency development of the economy. It has gradually become a new engine to promote China’s economic growth. Therefore, it is vital to establish a digital economy indicator system. In this context, according to the connotation of digital economy, comprehensively consider the four dimensions of digital foundation, digital application, digital innovation and digital benefit, and build a full-scale digital economy indicator system. However, some previous literature proposed operating the K-means clustering algorithm in optimizing the index system. The algorithm, susceptible to the initial selection of cluster center, generates completely different clustering results with other random seed points and is thus unsuitable for optimizing the index system. Based on this, the advantages of GRA, SA, and K-means algorithms are combined to propose a K-means-SA algorithm that can obtain the global optimal solution. Then, by combining the K-means SA algorithm and the rough set algorithm, the constructed index system is further optimized. Ultimately, it establishes a set of all-round, multi-system and multi-dimensional digital economy index systems, which is of great reference significance for formulating relevant policies, provides scientific index support for the subsequent extension of digital economy theory, and promotes the benign growth of the worldwide economy.

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“…In many parts of the world, including Penang, academic publications and patents from universities and industries have increased, and jobs with higher remuneration are created with a focus on science and technology (Jones, 2021). In China for example, scientific and technological innovation have been shown to encourage economic development potential among world-class universities (Chen & Shu, 2021).…”

Section: Introductionmentioning

confidence: 99%

Industrialisation and internationalisation of education in the context of Economy 4.0: A case study of Penang

DeWitt

Sukhoverkhov

2023

Jnl of Research in Internatl Education

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The globalisation of science, industry and commerce has resulted in the internationalisation of education. In this context, ‘ a global citizen’, representing the Humboldtian educational model, has to have universal cognitive skills and cultural competences formed by an international/global education. However, Malaysia’s unique situation, as seen in the case of Penang Island, shows a multicultural education that effectively adapted to the global market. Most of the schools were transformed to national schools after Malaya’s independence from the United Kingdom, yet some retained their international nature. This article shows how national schools in Penang Island preserved their culture after independence, resulting in cultural pluralism (multiculturalism) in the educational system and, at the same time, maintained their global value for Economy 4.0. This multicultural and industry-oriented approach contrasts with the Humboldtian universalistic model, and yet contributes to the growth of science and a global economy. In this regard, it is argued that for the sustainable development of science, technology and society in Penang, the ‘epistemological pluralism’ with cross-disciplinary thinking in diverse cultural contexts should be promoted in educational and global policies.

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The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

Cited by 16 publications

References 49 publications

The Technology Transfer University Capability: A Case Study From the Triple Helix Perspective

The Technology Transfer University Capability: A Case Study From the Triple Helix Perspective

Research on the Construction of Digital Economy Index System Based on K-means-SA Algorithm

Industrialisation and internationalisation of education in the context of Economy 4.0: A case study of Penang

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