Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages

Abstract

This study focuses on analyzing the driving factors of government and industry funding and the effects of such funding on academic innovation performance in the Taiwan's university-industry-government (UIG) collaboration system. This research defines the relationships of the triple helix in the UIG collaboration system as a complex intertwined combination that covers demography, financial support, and innovation performance. These relationships are simultaneously modeled by a multivariate technique, structural equation modeling, to investigate the causal-effect relationship among the antecedent factors on the subsequent ones. This model will enable us to investigate three questions: (1) Is government funding or industry funding tied to university demography, to university innovation performance, or to both? (2) Does government funding lead industry funding? (3) Is government funding or industry funding conducive to more university innovation performance? In addition to verifying the model against all participating universities in the UIG collaboration, we also categorize them into two tiers in terms of whether or not universities have been selected for the incentive programs of UIG collaboration so as to explore groups' differences.

Examining the micro‐level challenges experienced by publicly funded university principal investigators

“…This is because evaluations of research quality and impact in publicly funded grants increasingly incorporate assessments of the potential societal and commercial outcomes for a diverse set of stakeholder audiences, as well as the scientific results aimed at knowledge producers (D’Este et al, 2018; Fini et al, 2018; O'Kane et al, 2021). Acquiring public funding can also influence spin‐off creation (Chiesa and Piccaluga, 2000; Ramaciotti and Rizzo, 2015; Iacobacci et al, 2020) and the acquisition of additional private research funding (Chen et al, 2013; Muscio et al, 2013).…”

Research funding and academic engagement: a Singapore case

“…Studies on the output of government funding point out that government funding contributes to research output, both in terms of the quantity of publications (Drivas, Balafoutis, & Rozakis, 2015) and patents (Chen, Huang, & Chen, 2013;Rosenbloom, Ginther, Juhl, & Heppert, 2015), and the quality as measured by citations (Sandstrom 2009;van Leeuwen et al 2001;Wang and Shapira 2015). However, the impact of government funding on academic engagement is less obvious.…”

Evolution of the Chinese Industry-University-Research Collaborative Innovation System

“…The advantages of universities and research institutions are theoretical research, professionals, scientific equipment, knowledge and technical information, and research methods and experience, and their needs for innovation are resource support and practical information [8][9][10]. The needs of enterprises for innovation in knowledge resources and the needs of universities and research institutions for spreading of scientific knowledge and practice demand constitute the IURCI system based on a retrieval mechanism and allocation rule for noncompetitive interests [11][12][13]. Improving collaborative innovation system performance is a strategic goal, and, from the 1980s up to the present, there have been theories such as the innovation systems theory [14][15][16], triple helix [17][18][19][20], and open innovation theory [21][22][23][24] which have discussed the elements and principles of an IURCI system at different levels [25,26].…”