Mechanisms of Network Formation in the Public Sector: A Systematic Review of the Literature
Mechanisms of Network Formation in the Public Sector: A Systematic Review of the Literature
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DOI：
10.1093/ppmgov/gvaa017
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发表时间：
2020-08
影响因子：
3.2
通讯作者：
Michael D. Siciliano;Weijie Wang;Alejandra Medina
中科院分区：
文献类型：
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作者：
Michael D. Siciliano;Weijie Wang;Alejandra Medina
本文对公共部门的网络形成文献进行了系统的回顾。特别是，我们对经验网络研究中用于激励合作和纽带形成的理论机制进行了编码和分类。基于对1998年至2019年在40种公共管理和政策期刊上发现的107篇关于网络形成的文章的回顾，我们确定了15个不同的理论类别。对于每个类别，我们描述了理论，强调了它在文献中的使用，并确定了当前应用的限制和关注事项。总体而言，我们发现大多数研究都依赖于一套类似的网络形成的一般理论。更重要的是，我们发现大多数理论机制都没有得到很好的说明，实证检验往往无法直接评估具体的潜在机制。我们的审查结果突出表明，我们的领域需要接受实验设计，开发面板网络数据集，并参与更多网络级别的研究。
This article provides a systematic review of the network formation literature in the public sector. In particular, we code and categorize the theoretical mechanisms used in empirical network research to motivate collaboration and tie formation. Based on a review of the 107 articles on network formation found in 40 journals of public administration and policy from 1998 to 2019, we identify 15 distinct theoretical categories. For each category, we describe the theory, highlight its use in the literature, and identify limitations and concerns with current applications. Overall, we find that most studies rely on a similar set of general theories of network formation. More importantly, we find that most theoretical mechanisms are not well specified, and empirical tests are often unable to directly assess the specific underlying mechanism. The results of our review highlight the need for our field to embrace experimental designs, develop panel network datasets, and engage in more network-level research.