International university-university technology transfer: Strategic management framework

Moortel, Kevin De; Crispeels, Thomas

doi:10.1016/j.techfore.2018.05.002

Cited by 60 publications

(45 citation statements)

References 54 publications

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“…Strategic management was one of the most common TT process-enhancers found by De Moortel and Crispeels (2018) to show up within the reviewed articles. Strategic choices (Horner et al 2019), absorptive capacities (Hsu et al 2015) and dynamic capabilities (Leih and Teece 2016), all of which are subsets of strategic management and have been used in analysis within the articles, confirming that effective strategic management tends to contribute to university-industry collaboration, if rightly implemented.…”

Section: References To Processes For Improving Existing Modelsmentioning

confidence: 99%

Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review

Stemberkova

Fadeyi

2019

Administrative Sciences

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Universities play pivotal roles when research findings are to be adopted commercially. Although these roles vary from one country to another, effective patenting and licensing procedures, as well as eventual commercialisation of scholarly inventions, reflect hard work on the part of the University mediating between the researcher and the industry through technology transfer offices (TTOs) in order to ensure that knowledge-developers take motivational and monetary credit for their findings. This paper details some existing models, processes, and roles taken up in some countries where sharing of intellectual property exists, and links it up with aspects of university–industry technology transfer, such as policies surrounding patenting, government investment and marketing, and the process of academic entrepreneurship, among others. 22 articles were found via a systematic review of literature and analysed with respect to four identified areas of focus: internal strategy, investment and market, academic entrepreneurship and policy. Based on models, processes, and roles in reviewed studies, our results indicate that new models for technology transfer mainly stem from the fact that there is no universally accepted model in the literature. Furthermore, management of technology transfer is mostly the responsibility of TTOs in most countries. While university TTOs act as intermediaries to protect the interest of the author/inventor, issues such as poor relationships between universities and industry, as well as funding, remain major challenges in many emerging economies. In contrast, researchers in western economies are mainly challenged by financial motivation and recognition within the academic domains.

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Section: References To Processes For Improving Existing Modelsmentioning

confidence: 99%

Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review

Stemberkova

Fadeyi

2019

Administrative Sciences

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“…In 2001, the State Economic and Trade Commission and MOE jointly established state technology transfer centers in six universities (Wu 2010). By improving the performance of Chinese university knowledge and technology transfer through several programs, the Chinese government recognized innovation and knowledge transfer to be the engine of economic development and considers Chinese universities as key actors in China's transformation (Hong 2008;De Moortel and Crispeels 2018).…”

Section: 3 Background: Chinese University Knowledge Transfermentioning

confidence: 99%

Network dynamics of Chinese university knowledge transfer

Moortel

Crispeels

2019

J Technol Transf

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Social networks are increasingly considered to be influential in explaining the knowledge transfer process. Despite scholarly efforts to integrate knowledge transfer and social network research, we lack understanding on how knowledge transfer networks emerge and evolve. We draw upon resource dependency theory and inter-organizational networks and collect patent data of 42 Double-First Class (DFC) universities to study structural properties of the Chinese university knowledge transfer network over time. Our results point to the existence of an increasingly complex yet remarkably efficient network. Universities and co-patent collaborations emerge in the network and act as knowledge bridges between other universities. The network moves from an early-stage single-centered network to a mature multi-centered network through a power-law pattern. Such movement allows for an aggregation phenomenon to appear as oligopolistic communities emerge and rule the network. While knowledge is more easily shared and accessible within communities, their existence also brings along control over knowledge bases embedded in those communities. Key universities take central positions within the expanding network, which allows them to gain control and easier access to knowledge. It also hints that it might be difficult for other DFC universities to become key players in the network. On an inter-regional level, our findings point to steadily increasing knowledge transfer activity, which is key to overcome the underdevelopment of some Chinese regions. Overall, this paper contributes to our understanding on the theoretical connection between knowledge transfer and social network dynamics, on how universities evolve through knowledge transfer networks, and on how their embeddedness translates into knowledge control, knowledge access, and knowledge bridges.

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“…Globalization puts emerging nations under enormous pressure to rebuild themselves using technology in an attempt to keep up with global sustainability and economic trends (Bozeman 2000;De Moortel and Crispeels 2018). In order to compete effectively in the new global economy, knowledge generation and technological innovations are crucial, and African countries, through their Universities, are making rallying efforts in university-industry collaborations in order to be part of this new economic paradigm shift (Mazurelle and Ginies 2010) and to contribute to better technological outputs.…”

Section: Introductionmentioning

confidence: 99%

“…Universities play important roles in the transfer of technology. This is because the process of learning and acquisition of new knowledge has been the foundation for most ground-breaking inventions across all spheres of life (Giuri et al 2019;De Moortel and Crispeels 2018). Hence, universities are generally regarded as key agents of economic and social progress.…”

Section: Introductionmentioning

confidence: 99%

“…Some scholars argue that university research commercialization is a second academic revolution for universities, from which the term entrepreneurial university has been coined (Vick and Robertson 2018). However, scholars such as Giuri et al (2019), as well as De Moortel and Crispeels (2018), claim that this phenomenon is only an institutionalization of an activity that can be traced back 100 years to the development of the chemical industry (Meng et al 2019). Regardless of the debate about the initiation of this phenomenon, universities are expected to incorporate technology transfer as a new role in addition to their traditional teaching and research roles, and African universities are not left out of this.…”

Section: Introductionmentioning

confidence: 99%

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Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

Fadeyi

Stemberkova

Afolayan³

et al. 2019

Social Sciences

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All of Africa’s emerging economies are faced with developmental challenges, which can be partly ameliorated using effective University–Industry technology transfer. While technology transfer remains at the infant stage, sparsely documented, and with no complex ongoing processes in many African societies, Universities in Africa are making efforts in University–Industry collaborations aimed at bringing significant improvements to the continent in a bid to drive national innovation and regional economic development. In this paper, we attempt to evaluate the progress made so far by Nigerian Universities in technological innovation transfer, in order to suggest ways for possible future progress. To do this, crucial technology transfer resource factors (inputs), namely, the number of linkage projects funded by the “African Research Council” (ARC), consortium membership of the University’s technology transfer office, and the number of doctoral staff at the University’s technology transfer office, were checked against a set of performance measures (number of executed licenses, amount of licensing royalty income, number of spin-offs created, and the number of spin-offs created with university equity), using data envelopment analysis and multiple regression, respectively. Results suggest that Universities that possess better resource factors reported higher outputs on most of the performance indicators applied. In addition, it was observed that Universities with greater ability to effectively transfer knowledge had higher technology commercialization performance and financial sustainability. The implication of these results is that Universities in Africa need to develop in line with the technology transfer resource (input) factors suggested within this study, as this is the way to go for better performance.

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International university-university technology transfer: Strategic management framework

Cited by 60 publications

References 54 publications

Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review

Models, Processes, and Roles of Universities in Technology Transfer Management: A Systematic Review

Network dynamics of Chinese university knowledge transfer

Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach

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