Varied university-industry knowledge transfer channels and product innovation performance in Guangdong manufacturing firms

Hu, Xinyue; Tang, Yongli; Motohashi, Kazuyuki

doi:10.1080/14778238.2020.1747367

Cited by 9 publications

(4 citation statements)

References 39 publications

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“…Relatedly, as Pekovic and Bouziri [ 54 ] note, adopting ECSR practices boosts employees' involvement and engagement in the firm's routine activities, improves their commitment to the firm's goals, and promotes the establishment of personal interrelations and creativity, among others [ [61] , [62] , [63] , [64] , [65] ]. As a result of these improvements in human capital, a positive effect on innovation can be expected [ 54 , 66 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental corporate social responsibility practices and firm innovation: Complementarities and empirical evidence from Spanish firms

García-Piqueres,

García-Ramos

2024

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Environmental corporate social responsibility practices and firm innovation: Complementarities and empirical evidence from Spanish firms

García-Piqueres,

García-Ramos

2024

Heliyon

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“…Since the 21st century, with the rapid development of emerging economies such as China, Brazil, and Mexico, it has become an increasingly urgent task for these countries to solve the problem of knowledge transfer between academia and industry in their own contexts, and to promote the transformation of university scientific and technological achievements into actual economic benefits. Against this background, research on KTUIC issues in emerging economies, especially in China, has emerged and grown rapidly [78], [79].…”

Section: ) Strategic Coordinate Analysismentioning

confidence: 99%

“…First, in terms of research on UIC and knowledge transfer, the existing literature mainly adopted a perspective based on knowledge transfer processes from academia to industry [7], [78]. In fact, some UIC projects have been shown to have knowledge flows that are reciprocal and bidirectional [80], [81].…”

Section: F Future Agendamentioning

confidence: 99%

Looking Back to Move Forward: Bibliometric and Visual Analysis of Knowledge Transfer in University-Industry Collaboration

Li,

Gong,

2024

IEEE Access

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Knowledge transfer in university-industry collaboration (KTUIC) has been a hot issue of concern in recent years. Based on 874 articles published in the core collection of Web of Science, this paper conducts an in-depth bibliometric and visual analysis in terms of literature distribution, cooperation network, co-citation, knowledge base, and research hotspots analysis. The results show that the number of annual publications has shown an approximate exponential growth in the past decades. The UK is the most critical node in cross-border cooperation. Alessandro Muscio, with 11 publications, and Henry Etzkowitz, with 793 citations, are the most prolific and cited authors respectively. Research Policy has the highest frequency of citations. The knowledge base of KTUIC includes UIC and knowledge transfer, basic theories of U-I relationships, university TTOs, Bayh-Dole Act and university patenting, and individuals in university technology transfer. Research hotspots mainly focus on the related issues of third mission and entrepreneurial universities. Additionally, we also propose the future research agenda of KTUIC from the perspective of five knowledge bases. These findings contribute to a deeper understanding of the development status and core issues in KTUIC, and offer valuable guidance for future research directions.INDEX TERMS knowledge transfer in university-industry collaboration (KTUIC), knowledge transfer, university-industry collaboration, bibliometric analysis, visual analysis

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“…In the process of innovation clusters collaboration, the innovation cluster subjects realize transfer, sharing and innovation of knowledge through knowledge transfer, and use it to solve the problems encountered in engineering practice, and nally achieve the collaborative innovation [5,6]. In this process, how to realize e ective knowledge transfer among innovation subjects and improve knowledge transfer e ciency is one of the most important knowledge management issues of innovation clusters.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Level Fuzzy Comprehensive Evaluation Method for Knowledge Transfer Efficiency in Innovation Cluster

Zhang

2022

Mobile Information Systems

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Knowledge transfer is the essential requirement for innovation clusters to carry out collaborative innovation, and it is a necessary process for innovation clusters to realize the knowledge value enhancement. The evaluation of knowledge transfer efficiency in innovation cluster can effectively reflect the knowledge gap, environment, and whether it is effectively coordinated among members of the innovation cluster. In order to evaluate the knowledge transfer efficiency in innovation clusters more scientifically and accurately, this paper analyzes the main factors affecting the efficiency of knowledge transfer based on the characteristics of innovation clusters and establishes a multi-level comprehensive evaluation system including knowledge transfer subject features, knowledge content features, knowledge transfer environment, and knowledge transfer coordination behavior. Furthermore, a set of AHP-Entropy index weight determination method and multi-level fuzzy comprehensive evaluation method are proposed to evaluate the knowledge transfer efficiency in innovation cluster. The results of the case study show that the evaluation system and method of knowledge transfer efficiency established in this paper are effective, and they can provide valuable reference for the management of knowledge transfer activities in innovation clusters.

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Varied university-industry knowledge transfer channels and product innovation performance in Guangdong manufacturing firms

Cited by 9 publications

References 39 publications

Environmental corporate social responsibility practices and firm innovation: Complementarities and empirical evidence from Spanish firms

Environmental corporate social responsibility practices and firm innovation: Complementarities and empirical evidence from Spanish firms

Looking Back to Move Forward: Bibliometric and Visual Analysis of Knowledge Transfer in University-Industry Collaboration

A Multi-Level Fuzzy Comprehensive Evaluation Method for Knowledge Transfer Efficiency in Innovation Cluster

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