Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Growing Science
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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. (C) 2020 by the authors; licensee Growing Science, Canada.
Açıklama
Anahtar Kelimeler
University-Industry Collaboration, Technology, Incubator, University Affiliated Research Institutes
Kaynak
Decision Science Letters
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
9
Sayı
1
