Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration

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dc.authoridMosayebi, Alireza/0000-0001-7028-9995;
dc.authorwosidMosayebi, Alireza/KLC-8955-2024
dc.authorwosidGhorbani, shahryar/HZM-0306-2023
dc.contributor.authorMosayebi, Alireza
dc.contributor.authorGhorbani, Shahryar
dc.contributor.authorMasoomi, Behzad
dc.date.accessioned2024-06-13T20:18:40Z
dc.date.available2024-06-13T20:18:40Z
dc.date.issued2020
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractThe collaboration between the universities and industries is currently in the focus of attention globally. Governments, universities, and industries are interested in good and effective collaboration, which would be beneficial for all parties. To foster University-Industry Collaboration, and to help transfer the knowledge and technology between these two parties, academics, politicians and companies are paying attention to science and technology policies more than ever. In this study, the factors affecting the improvement of University-Industry Collaboration are identified and prioritized. In the first step, 20 factors are identified and 12 factors are selected using the Fuzzy Delphi method. Then, using the BWM method, prioritizing the extracted factors is determined for industry sponsorship of the university research. Finally, based on the results, the discussion is conducted and six major strategies are presented to improve this relationship. (C) 2020 by the authors; licensee Growing Science, Canada.
dc.identifier.doi10.5267/j.dsl.2019.7.001
dc.identifier.endpage118
dc.identifier.issn1929-5804
dc.identifier.issn1929-5812
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85073435944
dc.identifier.scopusqualityQ3
dc.identifier.startpage107
dc.identifier.urihttps://doi.org/10.5267/j.dsl.2019.7.001
dc.identifier.urihttps://hdl.handle.net/11501/1464
dc.identifier.volume9
dc.identifier.wosWOS:000787677400008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGrowing Science
dc.relation.ispartofDecision Science Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectUniversity-Industry Collaboration
dc.subjectTechnology
dc.subjectIncubator
dc.subjectUniversity Affiliated Research Institutes
dc.titleApplying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration
dc.typeArticle

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