The Open UniversitySkip to content
 

Stakeholder engagement in water governance as social learning: lessons from practice

Wehn, Uta; Collins, Kevin; Anema, Kim; Basco-Carrera, Laura and Lerebours, Alix (2018). Stakeholder engagement in water governance as social learning: lessons from practice. Water International, 43(1) pp. 34–59.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1080/02508060.2018.1403083
Google Scholar: Look up in Google Scholar

Abstract

The OECD Principles on Water Governance set out various requirements for stakeholder engagement. Coupled with conceptualizations of social learning, this article asks how we define and enact stakeholder engagement and explores the actual practice of engagement of stakeholders in three fields of water governance. The results suggest that a key consideration is the purpose of the stakeholder engagement, requiring consideration of its ethics, process, roles and expected outcomes. While facilitators cannot be held accountable if stakeholder engagement ‘fails’ in terms of social learning, they are responsible for ensuring that the enabling conditions for social learning are met.

Item Type: Journal Item
ISSN: 1941-1707
Keywords: OECD Principles on Water Governance, stakeholder engagement, social learning, e-participation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 53467
SWORD Depositor: Jisc Publications-Router
Depositing User: Jisc Publications-Router
Date Deposited: 22 Feb 2018 14:54
Last Modified: 03 May 2019 12:21
URI: http://oro.open.ac.uk/id/eprint/53467
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU