Meta-analysis of Collaboration and Performance: Moderating Tests of Sectoral Differences in Collaborative Performance
Meta-analysis of Collaboration and Performance: Moderating Tests of Sectoral Differences in Collaborative Performance
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协作与绩效的元分析：协作绩效部门差异的调节测试
DOI：
10.1093/jopart/muab038
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发表时间：
2021
影响因子：
4.2
通讯作者：
ChiaKo Hung
中科院分区：
文献类型：
--
作者：
David Lee;ChiaKo Hung
过去几十年来，协作作为解决复杂问题和提高公共服务绩效的合理手段，在公共行政和政策领域蓬勃发展。通过对 26 项研究（251 个效应量）进行荟萃分析，这项调查为理解不同合作伙伴关系对绩效的影响提供了新颖的视角。为了检验这些机制，我们应用了各种社会科学理论，例如制度理论、资源依赖理论、资源基础观和交易成本理论。我们的研究结果表明，协作绩效的总体效果是积极且显着的。此外，元回归结果表明，公共与公共合作比公共与非营利组织或公共与企业合作产生更好的绩效，而将所有三种实体类型纳入协作努力会产生与公共与公共合作相似的结果。这些研究结果对研究人员和从业者的几个影响进行了概述。
Over the past few decades, collaboration has flourished in the public administration and policy fields as a rational means to solve complex issues and improve public service performance. Through a meta-analysis of 26 studies with 251 effect sizes, this investigation provides novel perspectives for understanding the effects of different collaborative partnerships on performance. To test these mechanisms, we applied various social science theories, such as institutional theory, resource dependence theory, a resource-based view, and transaction cost theories. Our findings indicate that the overall effect of collaborative performance is positive and significant. Moreover, meta-regression results show that public–public collaboration results in better performance than public–nonprofit or public–business collaboration, while involving all three entity types in collaborative efforts yields similar outcomes to public–public collaboration. Several implications of these findings are outlined for researchers and practitioners.