Learning from Intermediaries to Overcome Cognitive-Related Barriers in the University-Industry Collaboration

Hakami, M; Pradhan, S; Mastio, E

Learning from Intermediaries to Overcome Cognitive-Related Barriers in the University-Industry Collaboration

Hakami, M Pradhan, S

Mastio, E

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Publication Type:: Conference Proceeding
Citation:: ACIS 2022 - Australasian Conference on Information Systems, Proceedings, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Hakami, M
dc.contributor.author	Pradhan, S https://orcid.org/0000-0003-2188-5330
dc.contributor.author	Mastio, E
dc.date.accessioned	2024-11-13T20:09:21Z
dc.date.available	2024-11-13T20:09:21Z
dc.date.issued	2022-01-01
dc.identifier.citation	ACIS 2022 - Australasian Conference on Information Systems, Proceedings, 2022
dc.identifier.uri	http://hdl.handle.net/10453/181887
dc.description.abstract	Previous studies on university-industry collaboration have shown a number of different barriers that affect transferring knowledge through such collaborations. From the cognitive dimension of the social capital theory perspective, this paper explores barriers to knowledge transfer activities through the collaboration between university and industry and how intermediaries contribute to mitigating these barriers. By applying the qualitative research method, a total of 40 semi-structured interviews were conducted, targeting academics and practitioners across the various universities, industries, and intermediary organisations in Saudi Arabia. A thematic analysis of the data was then employed using MAXQDA 2022 software. Based on the findings, this paper contributes to the extant university-industry collaboration literature by providing insights into critical challenges that can be addressed to improve collaborative inter-organisation relationships. Additionally, these insights can also guide related partners in maintaining a successful collaboration.
dc.language	en
dc.relation.ispartof	ACIS 2022 - Australasian Conference on Information Systems, Proceedings
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Learning from Intermediaries to Overcome Cognitive-Related Barriers in the University-Industry Collaboration
dc.type	Conference Proceeding
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
utslib.copyright.status	open_access	*
dc.date.updated	2024-11-13T20:09:20Z
pubs.publication-status	Published

Abstract:

Previous studies on university-industry collaboration have shown a number of different barriers that affect transferring knowledge through such collaborations. From the cognitive dimension of the social capital theory perspective, this paper explores barriers to knowledge transfer activities through the collaboration between university and industry and how intermediaries contribute to mitigating these barriers. By applying the qualitative research method, a total of 40 semi-structured interviews were conducted, targeting academics and practitioners across the various universities, industries, and intermediary organisations in Saudi Arabia. A thematic analysis of the data was then employed using MAXQDA 2022 software. Based on the findings, this paper contributes to the extant university-industry collaboration literature by providing insights into critical challenges that can be addressed to improve collaborative inter-organisation relationships. Additionally, these insights can also guide related partners in maintaining a successful collaboration.

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http://hdl.handle.net/10453/181887