This thesis explores stakeholder engagement in complex networked governance and adaptive management structures. It analyzes the adaptive capacity, multi-level learning, and stakeholder engagement and inclusion processes organizations engaged in transboundary environmental planning employ for effective governance.
Over the last few decades, networked governance and adaptive management have become increasingly popular within natural resource management, while public demand for and expectations of stakeholder engagement within government funded programs has grown. There is a need to better understand networked governance arrangements' structures and strategies for local stakeholder engagement, and how these structures and strategies support inclusive determination and implementation of regional planning and funding priorities.
Research for this project involved a qualitative study of local stakeholder engagement within the Chesapeake Bay Program using document analysis and semi-structured interviews of Bay Program staff, advisory committee members, and partners.
This paper finds that inclusive stakeholder engagement, practiced in both episodic and institutionalized forms, is critical to the social learning and change required for successful natural resource management within regional partnerships. Networked governance arrangements can strategically employ engagement practices that create spaces for network and social learning and increase diversity through inclusion. Informal subnetworks play a key role in developing new engagement strategies (e.g., trusted sources) and preparing organizations for change (e.g., alternative decision-making methods).
This research makes the following recommendations for stakeholder engagement: prioritize DEIJ in engagement design; identify engagement goals, values, and roles; strengthen networks to support diversity in participation and inclusion; create mechanisms to operationalize engagement learning; and regularly evaluate engagement practices. / Master of Urban and Regional Planning / This thesis explores stakeholder engagement in complex networked governance and adaptive management structures. It analyzes the adaptive capacity, multi-level learning, and stakeholder engagement and inclusion processes organizations engaged in transboundary environmental planning employ for effective governance.
Over the last few decades, networked governance and adaptive management have become increasingly popular within natural resource management, while public demand for and expectations of stakeholder engagement within government funded programs has grown. There is a need to better understand networked governance arrangements' structures and strategies for local stakeholder engagement, and how these structures and strategies support inclusive determination and implementation of regional planning and funding priorities.
Research for this project involved a qualitative study of local stakeholder engagement within the Chesapeake Bay Program using document analysis and semi-structured interviews of Bay Program staff, advisory committee members, and partners.
This paper finds that inclusive stakeholder engagement, practiced in both episodic and institutionalized forms, is critical to the social learning and change required for successful natural resource management within regional partnerships. Networked governance arrangements can strategically employ engagement practices that create spaces for network and social learning and increase diversity through inclusion. Informal subnetworks play a key role in developing new engagement strategies (e.g., trusted sources) and preparing organizations for change (e.g., alternative decision-making methods).
This research makes the following recommendations for stakeholder engagement: prioritize DEIJ in engagement design; identify engagement goals, values, and roles; strengthen networks to support diversity in participation and inclusion; create mechanisms to operationalize engagement learning; and regularly evaluate engagement practices.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/106656 |
| Date | 16 November 2021 |
| Creators | Showalter, Amy Laurel |
| Contributors | Urban Affairs and Planning, Schenk, Todd, Lemaire, Robin Hargroder, Stephenson, Max O. Jr. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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