New Public Management and Governance Collide: Federal-Level Performance Measurement in Networked Public Management Networks
2009
- 1,005Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage1,005
- Downloads833
- Abstract Views172
Thesis / Dissertation Description
The purpose of this research was to investigate the implications of networked public management on the design, implementation, and utilization of federal performance measurement systems. A multiple, instrumental case study of four public health programs funded by CDC and implemented nationally through vertical and horizontal network structures was conducted. Cross-case findings suggest that the networked implementation structures for the four federal-level, public health programs have important implications for the design of the performance measurement systems. Specifically, the performance measurement systems were affected by four consequences of the implementation networks: the political influence of collaborative stakeholders; network variability; dependencies on voluntary, horizontal network partners to achieve outputs and outcomes; and jointly produced outcomes that compromise assigning agency-specific attribution and accountability. While these four factors did not deter the use of performance measurement by any of the programs, all had important consequences for the development and subsequent design of the performance measurement systems, including limiting the choice and types of measures, level of measurement, potential uses of the measures, and resources needed to implement and support the systems.
Bibliographic Details
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