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      Moving policy implementation theory forward: A multiple streams/critical juncture approach

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      Public Policy and Administration
      SAGE Publications

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          Abstract

          Meta-reviews of the implementation literature have constantly bemoaned a lack of theory in this area. This is partially a function of the policy sciences having inherited a tradition of descriptive work in public administration, a historical phenomenon exacerbated by the more recent addition to this corpus of an equally atheoretical set of works in public management. As a result, the study of policy implementation within the policy sciences remains fractured and largely anecdotal, with a set of proto-theories competing for attention – from network management to principal–agent theory, game theory and others – while very loose frameworks like the ‘bottom-up vs. top-down’ debate continue to attract attention, but with little progress to show for more than 30 years of work on this subject. This article argues the way out of this conundrum is to revisit the subject and object of policy implementation through the lens of policy process theory, rather than appropriating somewhat ill-fitting concepts from other disciplines to this area of fields of study. In particular, it looks at the recent synthesis of several competing frameworks in the policy sciences – advocacy coalition, multiple streams and policy cycle models – developed by Howlett, McConnell and Perl and argues this approach, hitherto applied only to the ‘front end’ activities of agenda setting and policy formulation, helps better situate implementation activities in public policy studies, drawing attention to the different streams of actors and events active at this phase of public policy-making and helping to pull implementation studies back into the policy science mainstream.

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          Most cited references133

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          Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation.

          The first purpose of this review was to assess the impact of implementation on program outcomes, and the second purpose was to identify factors affecting the implementation process. Results from over quantitative 500 studies offered strong empirical support to the conclusion that the level of implementation affects the outcomes obtained in promotion and prevention programs. Findings from 81 additional reports indicate there are at least 23 contextual factors that influence implementation. The implementation process is affected by variables related to communities, providers and innovations, and aspects of the prevention delivery system (i.e., organizational functioning) and the prevention support system (i.e., training and technical assistance). The collection of implementation data is an essential feature of program evaluations, and more information is needed on which and how various factors influence implementation in different community settings.
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            An advocacy coalition framework of policy change and the role of policy-oriented learning therein

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              Congressional Oversight Overlooked: Police Patrols versus Fire Alarms

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Public Policy and Administration
                Public Policy and Administration
                SAGE Publications
                0952-0767
                1749-4192
                May 25 2018
                October 2019
                May 25 2018
                October 2019
                : 34
                : 4
                : 405-430
                Affiliations
                [1 ]Department of Political Science, Simon Fraser University, Canada; Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore
                Article
                10.1177/0952076718775791
                8882b94e-064f-4ee7-bdb3-d5ba3ceaa803
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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