Entrepreneurial universities and research ambidexterity: A multilevel analysis

Chang, Yuan‐Chieh; Yang, Pei‐Chi; Martin, Ben R.; Chi, Hsiang-Cheng; Tsai-Lin, Tung-Fei

doi:10.1016/j.technovation.2016.02.006

Cited by 84 publications

(72 citation statements)

References 74 publications

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“…The monetary and social effects of these cooperations are missing on research studies, for instance (Gü r et al 2016;Husgafvel et al 2017). There is also a need for more studies that examines the external factors that influences the entrepreneurial universities, as for instance the internal, regional, or national facilitating policies (Chang et al 2016). In Europe, for instance, there is an enormous lack of empirical studies concerning the effects of the new Research Innovations Strategy, imposed by the European Commission (Cunningham and Link 2015).…”

Section: Discussionmentioning

confidence: 99%

University–industry cooperation: A systematic literature review and research agenda

Mascarenhas

Ferreira

Marques

2018

Science and Public Policy

204

120

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As university-industry cooperation is associated with the transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps companies become more competitive. The present research, thus, sought to explore and analyse the literature related to university-industry cooperation, using a co-citation analysis. This study's objectives were to (1) identify the main co-cited references and the groups (i.e. clusters) they form and (2) discuss the challenges this literature presented in the study of university-industry cooperation. The articles reviewed were obtained with a search of the ISI's Web of Science and were submitted to a bibliometric analysis using VOSviewer software. This systematic literature review revealed that companies are increasingly focused on cooperation with universities. The results include four clusters, namely, (1) Absorption Capacity, Knowledge and Competitiveness in University-Industry Relations, (2) Impact of Knowledge Spill-overs on University-Industry Relations, (3) Strategic Alliances for Industry Innovation, and (4) University-Industry Cooperation. This study thus contributes to a greater and more detailed understanding of the production flow, scientific practices, and trends in this new and stimulating field of research.

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Section: Discussionmentioning

confidence: 99%

University–industry cooperation: A systematic literature review and research agenda

Mascarenhas

Ferreira

Marques

2018

Science and Public Policy

204

120

View full text Add to dashboard Cite

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“…In addition, since we have studied the presence of scientific writers among all writers only, this line could be enriched by analysing the presence of scientific writers among all scientists, so that we could answer whether scientific writers publish as much scientific output and of the same quality as other scientists. Another open question is under what conditions we may find ambidextrous scientists that can publish, commercialise and engage in non-formal knowledge transfer simultaneously (Chang et al 2016). Finally, we may be interested to know whether scientific writers are more read than other writers are, but readership or sales figures are not publicly available, so this should be the subject of another study.…”

Section: Discussionmentioning

confidence: 99%

‘Getting out of the closet’: scientific authorship of literary fiction and knowledge transfer

2018

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Some scientists write literary fiction books in their spare time. If these books contain scientific knowledge, literary fiction becomes a mechanism of knowledge transfer. In this case, we could conceptualize literary fiction as non-formal knowledge transfer. We model knowledge transfer via literary fiction as a function of the type of scientist (academic or non-academic) and his/her scientific field. Academic scientists are those employed in academia and public research organizations whereas non-academic scientists are those with a scientific background employed in other sectors. We also distinguish between direct knowledge transfer (the book includes the scientist's research topics), indirect knowledge transfer (scientific authors talk about their research with cultural agents) and reverse knowledge transfer (cultural agents give scientists ideas for future research). Through mixed-methods research and a sample from Spain, we find that scientific authorship accounts for a considerable percentage of all literary fiction authorship. Academic scientists do not transfer knowledge directly so often as non-academic scientists, but the former engage into indirect and reverse transfer knowledge more often than the latter. Scientists from History stand out in direct knowledge transfer. We draw propositions about the role of the academic logic and scientific field on knowledge transfer via literary fiction. We advance some tentative conclusions regarding the consideration of scientific authorship of literary fiction as a valuable knowledge transfer mechanism.

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“…First, the university should have a good reputation for research, especially in the applied sciences (Leih and Teece, ). Second, the university should incorporate multiple schools and departments, especially science, engineering and medical schools (Chang et al, ). Such universities are more likely to have knowledge and resources suitable for transformation, exploitation and commercialization as their resource base can provide ‘the key nexus for industry collaboration and new enterprise development initiatives’ (Leih and Teece, , p. 192).…”

Section: Methodsmentioning

confidence: 99%

Realized absorptive capacity and entrepreneurial universities’ organizational change: the role of process innovation practices

2019

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Although essential to all institutions, organizational change is a complex and high risk activity. In this paper, we examine how organizations develop and implement capabilities to facilitate organizational change. Drawing on the dynamic capability perspective and a 'resourcing' synergy view, we investigate how realized absorptive capacity in terms of transformation and exploitation capability directly affects organizational change, and how process innovation practices act as an effective mechanism that link transformation and exploitation capability with organizational change. To distinguish our analysis, we focus on both an emerging organizational form and an emerging economy context. Specifically, on the basis of a questionnaire survey of 316 academics from entrepreneurial universities in Malaysia, we find that both transformation and exploitation capability are facilitators of organizational change. However, the relationship of transformation capability with organizational change is fully mediated by process innovation practices, while the relationship between exploitation capability and organizational change is partially mediated by process innovation practices. Our research therefore contributes to the dynamic capability perspective of organizational change and absorptive capacity by highlighting the importance of integrating organizational transformation and exploitation capability with process innovation practices in different ways to facilitate organizational change. Our findings and accompanying discussion on how process innovation practices can generate moves towards universities that are more entrepreneurial will also be of interest to university managers and policy makers.

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Entrepreneurial universities and research ambidexterity: A multilevel analysis

Cited by 84 publications

References 74 publications

University–industry cooperation: A systematic literature review and research agenda

University–industry cooperation: A systematic literature review and research agenda

‘Getting out of the closet’: scientific authorship of literary fiction and knowledge transfer

Realized absorptive capacity and entrepreneurial universities’ organizational change: the role of process innovation practices

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