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University–Industry Linkage Framework to Identify Opportunity Areas

Bibliographic Data

ID12782823
AuthorsDavid Güemes‐Castorena (0000-0002-6346-2873, Tecnológico de Monterrey, corresponding author), Idalia Estefanía Ponce-Jaramillo (0000-0003-3861-7770, Tecnológico de Monterrey)
Year2019
Volume36
Issue5
Pages660-682
Publication date2019-07-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueReview of Policy Research (JOURNAL)
Journal identifiersISSN: 1541-132X • E-ISSN: 1541-1338
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ropr.12355
OpenAlexW2953960333
LanguageEN
Citations received1
References cited25

Although there are many studies of the collaboration between academia and industry in developed countries explaining the phenomenon and prescribing best practices, the findings cannot be extrapolated to developing countries. This article fills the gap by studying these interactions for the case of Mexico. To study these interactions, we performed a state‐of‐the‐art matrix analysis to obtain internal, structural, and environmental factors from literature. Then, an interpretative structural framework was built as a model to identify opportunities in the collaboration process. The results are presented in a map that describes how each element influences the others and highlights opportunities for improvement. The model shows that industry triggers collaboration and presents a highly complex internal organization for the academy. This study helps decision makers in government, the academy, and industry to understand the elements and how the system works to develop strategies that promote more effective collaboration

Business · Element (criminal law · Government (linguistics · Knowledge management · Linkage (software · Management science · Phenomenon · Political science · Process (computing · Process management · State (computer science · Business, Innovation, and Economy · Computer Science · Engineering · Innovation and Knowledge Management · University-Industry-Government Innovation Models

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Unique citing works1
Citations per year0,2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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