Successful entrepreneurial learning: success factors of adaptive governance of the commons

Alicia Mas-Tur, Norat Roig-Tierno and Belén Ribeiro-Navarrete

Knowledge Management Research & Practice, 2021, vol. 19, issue 3, 291-302

Abstract: Drawing on the literature, this paper examines a set of criteria for successful adaptive governance of the commons from an entrepreneurial perspective. These criteria or success factors are definition and boundaries, regulation, learning and training, decision-making processes, and participation of different agents interested in the commons. These success factors are assessed and ranked. Multiple criteria decision analysis is used to assess and rank these success factors of adaptive governance of the commons. More specifically, the analytic hierarchy process (AHP) is used to weight each criteria and sub-criteria. This study sheds light on the role of organisational learning and knowledge management in contexts where the commons are at stake. The results indicate that regulation is the most important criterion for adaptive governance of the commons. Correctly establishing decision-making processes and implementing effective learning and training are key success factors of common resource governance.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2019.1633892 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:19:y:2021:i:3:p:291-302

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1080/14778238.2019.1633892

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().