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A QCA Analysis of Knowledge Co-Creation Based on University–Industry Relationships

Authors :
Cristina Bianca Pocol
Liana Stanca
Dan-Cristian Dabija
Veronica Câmpian
Sergiu Mișcoiu
Ioana Delia Pop
Source :
Mathematics, Vol 11, Iss 2, p 388 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This research aims to identify typologies of companies willing to cooperate with universities to foster knowledge co-creation and ease knowledge transfer to students within courses, training, communities of practises, etc., regardless of the business sector they are active in. To implement the research scope, we rely on the qualitative comparative analysis method (QCA). Interactions between causal factors within the university–industry relations, and knowledge co-creation have been examined. The results obtained indicate two typologies. Type 1 includes companies oriented towards supporting interactions with universities based on education, research, student placements, training, and community services such as consultancy, and product development. These acknowledge both the necessity of creating platforms to establish more ties with universities and the importance of alumni connections to develop effective campus management. Type 2 includes companies that are not interested in understanding or supporting the mission of universities in society, not developing ties with universities, and generating only a superficial interaction, which hinders their involvement in the creation of knowledge with universities. From a managerial perspective, this paper highlights the relationship between universities and industry and how this could contribute to increased resilience for a society facing unexpected challenges, such as the global crisis related to COVID-19 and the present state of international political instability.

Details

Language :
English
ISSN :
22277390
Volume :
11
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.fcb5b10ecdbd4502b0f50fa0c3a800b7
Document Type :
article
Full Text :
https://doi.org/10.3390/math11020388