Odum Library
dc.contributor.author | Willingham, Charles Nathan | |
dc.date.accessioned | 2025-03-28T18:09:29Z | |
dc.date.available | 2025-03-28T18:09:29Z | |
dc.date.issued | 2024-12-06 | |
dc.identifier.other | fa80f9b5-8a27-4bca-a5d8-a22ee4701ba1 | en_US |
dc.identifier.uri | https://hdl.handle.net/10428/7402 | |
dc.description.abstract | Collaborative governance is richly debated in public administration, with some consensus on its parameters and frameworks available to explore defining features. This study examined a less-developed area of collaborative governance: innovation and its effects on performance. Although innovation is a defining element of most examples of collaborative governance, little connection has been made between collaboration, innovation, and performance levels. This study reported the findings of a mixed methods approach to develop measures of collaboration, innovation, and performance and evaluate their effects within a collaborative system. The qualitative analysis provided a framework for understanding the system's intrinsic features, including performance metrics and perceived drivers of collaboration. The research proposed to quantitatively evaluate these features to determine the effects of collaboration and innovation on performance, testing a theory of performance driven by collaboration and mediated by the level of innovation produced by collaborative governance. The findings offered a detailed case study of collaborative governance, governance platforms, and public innovation that is valuable to a more generalizable knowledge of these important aspects of public life. The quantitative results were severely limited by low response rates but represented sound methodology that will be replicable in other research. The research contributed to understanding the relationship between collaboration, innovation, and performance within a collaborative system. | en_US |
dc.format.extent | 1 electronic record. PDF/A document, 193 pages, 4458508 bytes. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | en_US | en_US |
dc.rights | This dissertation is protected by the Copyright Laws of the United States (Public Law 94-553, revised in 1976). Consistent with fair use as defined in the Copyright Laws, brief quotations from this material are allowed with proper acknowledgement. Use of the materials for financial gain with the author's expressed written permissions is not allowed. | en_US |
dc.subject | Public administration | en_US |
dc.subject | Organizational behavior | en_US |
dc.subject | Intergovernmental cooperation | en_US |
dc.subject | Organizational learning--Technological innovations | en_US |
dc.subject | Government productivity | en_US |
dc.subject | Performance--Management | en_US |
dc.subject | Policy networks | en_US |
dc.subject | Politics and government | en_US |
dc.subject | Public-private sector cooperation | en_US |
dc.subject | Mixed methods research | en_US |
dc.subject | Organizational effectiveness | en_US |
dc.subject | Dissertations, Academic--United States | en_US |
dc.subject | Case studies | en_US |
dc.subject | Policy studies | en_US |
dc.title | Collaboration, Innovation, and Performance: Analyzing Collaborative Governance, Platforms, and Innovation in the Tennessee RiverLine | en_US |
dc.type | Dissertation | en_US |
dc.contributor.department | Department of Political Science of the College of Humanities and Social Sciences | en_US |
dc.description.advisor | Baron, Kevin | |
dc.description.committee | Robbins, Joseph | |
dc.description.committee | Lee, Keith | |
dc.description.degree | D.P.A. | en_US |
dc.description.major | Political Science | en_US |