Title Networks in the public sector : a multilevel framework and systematic review / Michael D. Siciliano, University of Illinois Chicago, Weijie Wang, University of Missouri, Qian Hu, University of Central Florida, Alejandra Medina, University of Illinois Chicago, David Krackhardt, Carnegie Mellon University

Published Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022 ©2022

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Description 1 online resource (84 pages) : illustrations Series Cambridge elements. Elements in public and nonprofit administration, 2515-4303 Cambridge elements. Elements in public and nonprofit administration. Contents Levels of Analysis and the Multilevel Network Framework -- Systematic Review Process and Findings -- Network Formation -- Network Effects -- Conclusion Summary Networks contain complex patterns of dependency and require multiple levels of analysis to explain their formation, structure, and outcomes. In this Element, the authors develop the Multilevel Network Framework. The framework serves as (i) a conceptual tool to think more deeply about network dynamics, (ii) a research tool to assist in connecting data, theory, and empirical models, and (iii) a diagnostic tool to analyze and categorize bodies of research. The authors then systematically review the network literature in public administration, management, and policy. They apply the Multilevel Network Framework to categorize the literature; identify significant gaps; examine micro, macro and cross-level relations; and examine relevant mechanisms and theories. Overall this Element helps readers to (i) understand and classify network research, (ii) use appropriate theoretical frameworks to examine network-related problems, (iii) understand how networks emerge and produce effects at different levels of analysis, and (iv) select appropriate empirical models.-- Provided by publisher Bibliography Includes bibliographical references Notes Print version record Subject Public administration -- Research -- Methodology Multilevel models (Statistics) Policy networks. Social networks. Multilevel models (Statistics) Policy networks. Public administration -- Research -- Methodology. Social networks. Form Electronic book Author Wang, Weijie, author Hu, Qian (Professor of public administration), author. Medina, Alejandra, author. Krackhardt, David, author. ISBN 9781009104241 1009104241

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