Podrobná bibliografia
| Názov: |
Multi-stakeholder networks in the higher education context: a configurative literature review of university-community interactions. |
| Autori: |
de Groot, Laura1 (AUTHOR) l.de.groot@vu.nl, Demeijer, Frederique A.1 (AUTHOR), Zweekhorst, Marjolein1 (AUTHOR), Urias, Eduardo1 (AUTHOR) |
| Zdroj: |
Journal of Higher Education Policy & Management. Aug2025, Vol. 47 Issue 4, p490-508. 19p. |
| Predmety: |
CONSCIOUSNESS raising, EDUCATIONAL sociology, HIGHER education, THEORY-practice relationship, SOCIAL dominance |
| Abstrakt: |
Driven by the demand to address complex societal issues, stakeholders from higher education and society increasingly form multi-stakeholder networks. Despite their potential, realising such networks proves complex, often yielding elusive outcomes. To explore how multi-stakeholder networks navigate these complexities, this configurative literature review analyses 17 cases, revealing patterns in university-community interactions across network formation, implementation, and outcomes. Two primary modes emerged: the Centralised (or University-Centred) mode, characterised by university dominance, and the Polycentric (or Collaborative) mode, emphasising cooperative relationships. Existing on a continuum rather than as distinct categories, these modes provide a framework to interpret collaborative- and decision-making processes that occur within multi-stakeholder networks, shaping what is recognised as knowledge, and identifying who benefits most. This modal awareness enhances the potential of multi-stakeholder networks in higher education. Future research could explore the multiplicity of community perspectives. Our study serves as a stepping stone for advancing multi-stakeholder network theory and practice. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Higher Education Policy & Management is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Business Source Index |