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Costa, E., Vicente, P. & Reis, E. (2025). Driving innovation through cross-sector collaboration with higher education institutions. In Luis Gómez Chova; Chelo González Martínez; Joanna Lees (Ed.), INTED2025 Proceedings (pp. 2045?2053). IATED. https://doi.org/10.21125/inted.2025.0581
J. E. Costa et al., "Driving innovation through cross-sector collaboration with higher education institutions", in INTED2025 Proc., Luis Gómez Chova; Chelo González Martínez; Joanna Lees, Ed., Valencia, Spain, IATED, 2025, pp. 2045-2053
@inproceedings{costa2025_1793535434024,
author = "Costa, E. and Vicente, P. and Reis, E.",
title = "Driving innovation through cross-sector collaboration with higher education institutions",
booktitle = "INTED2025 Proceedings",
year = "2025",
editor = "Luis Gómez Chova; Chelo González Martínez; Joanna Lees",
volume = "",
number = "",
series = "",
doi = "10.21125/inted.2025.0581",
pages = "2045-2053",
publisher = " IATED",
address = "Valencia, Spain",
organization = "",
url = "https://library.iated.org/view/COSTA2025DRI"
}
TY - CPAPER TI - Driving innovation through cross-sector collaboration with higher education institutions T2 - INTED2025 Proceedings AU - Costa, E. AU - Vicente, P. AU - Reis, E. PY - 2025 SP - 2045-2053 SN - 2340-1079 DO - 10.21125/inted.2025.0581 CY - Valencia, Spain UR - https://library.iated.org/view/COSTA2025DRI AB - The collaboration between several economic and societal sectors is crucial for sustainable socio-economic development, as it fosters the creation and circulation of new knowledge. This study analyzes the main characteristics of collaborations between higher education institutions (HEIs) and several sectors such as industry, commerce, services, government, and NGOs. It adopts systematic literature review (SLR) and bibliometric analysis methods to explore the dynamics of collaborations. A rigorous SLR process was conducted using the SCOPUS and Web of Science (WoS) databases, employing strict protocols with detailed inclusion and exclusion criteria, which resulted in a powerful dataset for analysis. To better understand the key drivers of interaction and collaboration between HEIs and several sectors, this research applies theoretical frameworks such as Open Innovation Theory (OIT), the Triple Helix Model (THM), and Knowledge Spillover Theory (KST) to guide database classification. Preliminary results reveal the industry sector as the most active in collaborating with HEIs, followed by sub-sectors like digital and renewables sources. Among the theories, THM is most frequently used to examine collaborations. The study identifies key collaboration drivers, providing insights for policymakers and stakeholders interested in fostering innovation through cross-sector collaboration involving HEIs. It also discusses limitations and suggests areas for future research. ER -
English