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- W4313354089 abstract "This chapter entails the analysis of the effects of project-level and network-level factors on the performance of the various smoking prevention projects implemented within the 13 networks. The analysis is based on Bayesian ordered logistic regressions and subsequent case studies to cross-validate the key results of the quantitative analyses. The findings are related to the debate on the effects of network management on the performance of collaborative service delivery. A main contribution of this study is, on the one hand, that it enriches the so far scarce evidence in this area by conducting an empirical analysis based on a considerable number of networks. On the other hand, the study applies a performance criterion that has hardly been used so far (i.e., policy outputs) and thereby contributes to the debate on the measurability of network success. First, this chapter provides an overview of the 187 projects and, second, presents the results of the Bayesian ordered logistic regressions. These findings are discussed and enriched by means of a qualitative analysis of six projects in the third section of this chapter. Fourth, this book discusses the hypotheses developed in Chapter 2 of this book and embeds the findings in the broader literature before summing up the chapter with some conclusions." @default.
- W4313354089 created "2023-01-06" @default.
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- W4313354089 date "2022-01-01" @default.
- W4313354089 modified "2023-10-16" @default.
- W4313354089 title "Linking Network-Level and Project-Level Factors to Policy Outputs" @default.
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- W4313354089 doi "https://doi.org/10.1007/978-3-031-08808-7_6" @default.
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