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Cited by 368

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Networks of Adjacent Action Situations in Polycentric Governance

McGinnis, Michael D.·2011·Policy Studies Journal

Abstract

Within the Institutional Analysis and Development (IAD) framework, the concept of an action situation generalizes a game to allow for endogenous changes in its rules. This article re‐visits this core concept to explore its potential for serving as the foundation for a systematic approach to the construction of more elaborate models of complex policy networks in which overlapping sets of actors have the ability to influence the rules under which their strategic interactions take place. Networks of adjacent action situations can be built on the basis of the seven distinct types of rules that define an action situation or by representing generic governance tasks identified in related research on local public economies. The potential of this extension of the IAD framework is demonstrated with simplified network representations of three diverse policy areas (Maine lobster fisheries, international development assistance, and the contribution of faith‐based organizations to U.S. welfare policy).

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Metadata

Authors
McGinnis, M. D.
Venue
Policy Studies Journal
Publisher
Wiley
Published
2011-02
Volume
39
Issue
1
Pages
51-78
ISSN
  • 0190-292X (ISSN-L)
  • 1541-0072
OpenAlex
W1676508840
Cited by
368
References
58
FWCI
41.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Networks of Adjacent Action Situations in Polycentric Governance. https://app.cochat.ai/papers/10.1111/j.1541-0072.2010.00396.x
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McGinnis, M. D. (2011). Networks of Adjacent Action Situations in Polycentric Governance. Policy Studies Journal. https://doi.org/10.1111/j.1541-0072.2010.00396.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.