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  • 标题:Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration
  • 本地全文:下载
  • 作者:Mosayebi, A. ; Ghorbani, S. ; Masoomi, B.
  • 期刊名称:Decision Science Letters
  • 印刷版ISSN:1929-5804
  • 电子版ISSN:1929-5812
  • 出版年度:2020
  • 卷号:9
  • 期号:1
  • 页码:107-118
  • DOI:10.5267/j.dsl.2019.7.001
  • 语种:English
  • 出版社:Growing Science Publishing Company
  • 摘要:The 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.
  • 关键词:University- Industry collaboration; Technology; Incubator; University affiliated research institutes
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