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Shared measures : collective performance data use in collaborations / Alexander Kroll.

By: Material type: TextTextSeries: Cambridge elements. Elements in public and nonprofit administrationPublisher: Cambridge : Cambridge University Press, 2022Description: 1 online resource (82 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781108933025 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 658.3125 23
LOC classification:
  • HF5549.5.P35  K76 2022
Online resources: Summary: Traditionally, performance metrics and data have been used to hold organizations accountable. But public service provision is not merely hierarchical anymore. Increasingly, we see partnerships among government agencies, private or nonprofit organizations, and civil society groups. Such collaborations may also use goals, measures, and data to manage group efforts, however, the application of performance practices here will likely follow a different logic. This Element introduces the concepts of "shared measures" and "collective data use" to add collaborative, relational elements to existing performance management theory. It draws on a case study of collaboratives in North Carolina that were established to develop community responses to the opioid epidemic. To explain the use of shared performance measures and data within these collaboratives, this Element studies the role of factors such as group composition, participatory structures, social relationships, distributed leadership, group culture, and value congruence.
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eBooks eBooks Central Library Management Available EB1000

Title from publisher's bibliographic system (viewed on 21 Feb 2022).

Traditionally, performance metrics and data have been used to hold organizations accountable. But public service provision is not merely hierarchical anymore. Increasingly, we see partnerships among government agencies, private or nonprofit organizations, and civil society groups. Such collaborations may also use goals, measures, and data to manage group efforts, however, the application of performance practices here will likely follow a different logic. This Element introduces the concepts of "shared measures" and "collective data use" to add collaborative, relational elements to existing performance management theory. It draws on a case study of collaboratives in North Carolina that were established to develop community responses to the opioid epidemic. To explain the use of shared performance measures and data within these collaboratives, this Element studies the role of factors such as group composition, participatory structures, social relationships, distributed leadership, group culture, and value congruence.

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