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Using Delphi and fuzzy DEMATEL for analyzing the intertwined relationships of the barriers of university technology transfer: Evidence from a developing economy 被引量:2
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作者 Renissa S.Quinones June Anne A.Caladcad +6 位作者 Celbert M.Himang Hubert G.Quinones Charena J.Castro Shirley Ann A.Caballes Dharyll Prince M.Abellana Eula Margareth Y.Jabilles Lanndon A.Ocampo 《International Journal of Innovation Studies》 2020年第3期85-104,共20页
Universities are highly responsible for knowledge creation and technology development.However,university technology transfer(UTT)is considered a challenge in bringing innovative technologies for commercialization and ... Universities are highly responsible for knowledge creation and technology development.However,university technology transfer(UTT)is considered a challenge in bringing innovative technologies for commercialization and community services.Thus,identifying the barriers and their complex interrelationships that hinder the successful implementation of UTT provides a better understanding of the process,which may be considered as inputs to crucial decision-making initiatives.While this approach is highly relevant in the domain field,it remains a point of departure in the current literature.This paper addresses this gap by holistically determining the UTT barriers and their intertwined relationships.Using the Delphi method and the fuzzy decision-making trial and evaluation laboratory(DEMATEL)to carry out this objective,a case study in a state university in the Philippines is presented in this work.Results show that lack of resources has the strongest causal relationship among the 24 UTT barriers.Whereas,poor marketing/technical/negotiation skills of technology transfer office obtained the highest impacts received and is categorized as the main net effect.These findings are intended to guide various stakeholders in understanding the influence of barriers in the formulation of strategies and initiatives to carry out effectively the UTT process. 展开更多
关键词 university technology transfer Barriers Causal relationships DELPHI DEMATEL Fuzzy set theory
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