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Audretsch, David B.; Bozeman, Barry; Combs, Kathryn L.; Feldman, Maryann P.; Link, Albert N.; Siegel, Donald S.; Stephan, Paula E.; Tassey, Gregory; Wessner, Charles W

doi:10.1023/a:1014382532639

Cited by 160 publications

(14 citation statements)

References 78 publications

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“…The question of whether higher education institutions affect innovation has been widely discussed in both the theoretical (e.g Aghion and Howitt 2009;Bercovitz and Feldman 2006) and empirical (e.g. Barra and Zotti 2018;Jaffe 1986;Link and Rees 1990;Lööf and Broström 2008) literature on the economics of science and technology (Audretsch et al 2002). A number of recent papers-using the establishment of universities to identify innovation effects-show, on average, an increase in patenting activities in the respective regions by between 7% and 32% (Andrews 2019;Cowan and Zinovyeva 2013;Toivanen and Väänänen 2016).…”

Section: Introductionmentioning

confidence: 99%

Innovation effects of universities of applied sciences: an assessment of regional heterogeneity

et al. 2021

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The literature on the economics of science and technology shows that academic universities—institutions focusing on basic research—positively affect innovation activities in regional economies. Less is known about the innovation effects of universities of applied sciences (UASs)—bachelor-granting three-year colleges teaching and conducting applied research. Furthermore, the evidence for positive innovation effects is predominantly based on average effects, while heterogeneity in innovation effects due to the economic environment is far less considered. By exploiting a public policy development in Switzerland that led to the quasi-random establishment of UASs, we investigate the regional heterogeneity in innovation effects of these UASs. We rely on patent and business census data and analyze the influence and importance of three economic preconditions—labor market size, labor market density and high tech intensity—on innovation effects of UASs. Our results show that only regions with a large or a dense enough labor market or with an above average high tech intensity experience significant innovation effects of UASs. Comparing the relative importance of the three economic preconditions, we find that labor market size is the most important factor that drives heterogeneity in innovation effects of UASs.

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Section: Introductionmentioning

confidence: 99%

Innovation effects of universities of applied sciences: an assessment of regional heterogeneity

et al. 2021

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“…As we mentioned above, technical knowledge provides data and further research material for carrying out scientific research [12,13]. Technologies are also directed by science to solve real problems [26]. New emerged technology challenges often become the new start points of scientific research [14].…”

Section: The Impact Of Organizations' Accessed External Technical Knomentioning

confidence: 99%

“…Science provides deep understanding and theoretical base for technology [25]. Technology is a source of new scientific challenges [14] and directed by scientific knowledge to solve real problems [26]. In this study, we focus on organizations' scientific knowledge generation, and explore the promotion of technical knowledge.…”

Section: Introductionmentioning

confidence: 99%

How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field

Tang

2020

Sustainability

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Previous studies have demonstrated that accessing external knowledge is important for organizations’ knowledge generation. The main purpose of this study is to investigate how the diversity and amount of organizations’ external scientific knowledge influence their scientific knowledge generation. We also consider the moderating effect of the redundant industrial scientific knowledge and the amount of technical knowledge from external technical cooperators. The social network analysis method is used to establish both ego- and industrial-scientific cooperation network, and ego-technical cooperation network in order to analyze the external scientific knowledge and technical knowledge. The empirical analysis is based on patent and article data of 106 organizations in the biomass energy industry (including firms, universities and research institutes), and the results show that organizations’ structural holes and degree centrality of scientific cooperation network have positive effects on their scientific knowledge generation. In addition, organizations’ degree centrality of technical cooperation network positively moderates the relationship between their degree centrality of scientific cooperation network and scientific knowledge generation. Furthermore, density of industrial scientific cooperation network decreases the positive effect of organizations’ structural holes on their scientific knowledge generation, while it strengthens the positive effect of degree centrality of scientific cooperation network on their scientific knowledge generation. Academic contributions and practical suggestions are discussed.

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“…N. Link & Scott, 2007), and they are considered as the new engine of economic growth (D. B. Audretsch et al, 2002;Cheng, van Oort, Geertman, & Hooimeijer, 2013).…”

Section: Inter-organizational Relationships As the Key To Innovationmentioning

confidence: 99%

A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach

2017

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In the last years Science and Technology Parks (STPs) have been considered facilitators of interorganizational relationships, as well as instruments of public policy, by creating networks and allowing access for the learning of local innovation. In this study, we propose a quantitative tool as support for measuring the efficiency of STPs through the analysis of the complex networks they form. We present a generic framework called the InterRelationship Science-Park Analysis (ISA) framework to study STPs at three different levels of management: i) individual entities (research centres, universities, innovation companies, etc.); ii) STP global management; and iii) productive sector development. Moreover, we have applied the ISA framework to a real world case study: the Walqa Science and Technology Park. Through it we have been able to know what relationships are established within this Science and Technology Park and which are the most important nodes in this network of interactions.

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Untitled

Cited by 160 publications

References 78 publications

Innovation effects of universities of applied sciences: an assessment of regional heterogeneity

Innovation effects of universities of applied sciences: an assessment of regional heterogeneity

How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field

A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach

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