Doctor of Philosophy (PhD)
First Advisor's Name
Milena I. Neshkova
First Advisor's Committee Title
Second Advisor's Name
Susannah Bruns Ali
Second Advisor's Committee Title
Third Advisor's Name
Third Advisor's Committee Title
Fourth Advisor's Name
Fourth Advisor's Committee Title
Fifth Advisor's Name
Fifth Advisor's Committee Title
collaboration, collaborative governance, task forces, performance
Date of Defense
This dissertation addresses a current gap in collaborative governance literature pertaining to the performance of collaborative regimes. Specifically, it conceptualizes collaborative performance as consisting of outputs and outcomes and offers a novel way to measure them consistently across policy domains. The study tests the contextual, situational, and institutional design factors that lead to enhanced outputs and outcomes of collaborative forums. The dissertation consists of three essays, and the findings of one form the base for the others. Essay 1 systematically reviews the literature (n=274) and compares the approaches to studying collaboration in public administration to those in political science and policy studies. The review highlights the differences in the analytic approaches, connects collaborative processes to collaborative outputs and outcomes, identifies limitations, and suggests a research agenda. Essay 2 empirically assesses the performance of collaborative forums. The analysis uses data from task forces mandated by the Florida legislature between 2000 and 2020 across four policy areas and compares the outputs and outcomes produced by them. The selection of policy areas is informed by Ingram and Schneider’s (1993) and Gormley’s (1986) typologies and includes child welfare, criminal justice, defense, and environment. Essay 3 draws on interview data with task force participants (n=26) and compares their experiences in mandated and voluntary forms of collaboration and the implications for performance. Overall, this study contributes to the literature by devising a consistent measure to assess collaborative performance across policy areas and testing the explanatory power of key theories. Moreover, the analysis takes a multi-disciplinary and cross-policy approach and utilizes quantitative and qualitative data. The results inform research and practice on how to design more productive and representative collaborative forums in order to solve complex public problems.
Hilton Montero, Jennifer, "Collaboration for Public Services: Explaining Outputs and Outcomes" (2022). FIU Electronic Theses and Dissertations. 5092.
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