分类
系统回顾
领域(数学)
集合(抽象数据类型)
实证研究
机制(生物学)
公共部门
管理科学
数据科学
社会学
计算机科学
知识管理
经济
政治学
认识论
人工智能
法学
数学
梅德林
哲学
纯数学
程序设计语言
作者
Michael D. Siciliano,Weijie Wang,Alejandra Medina
标识
DOI:10.1093/ppmgov/gvaa017
摘要
Abstract 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI