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Cited by 554

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Network Power in Collaborative Planning

Open access
Booher, David E., Innes, Judith E.·2002·Journal of Planning Education and Research

Abstract

This article makes a case that collaborative planning is becoming more important because it can result in network power. Collaborative policy processes are increasingly in use as ways of achieving results in an era distinguished by rapid change, social and political fragmentation, rapid high volume information flow, global interdependence, and conflicting values. Network power can be thought of as a flow of power in which participants all share. It comes into being most effectively when three conditions govern the relationship of agents in a collaborative network: diversity, interdependence, and authentic dialogue (DIAD). Like a complex adaptive system, the DIAD network as a whole is more capable of learning and adaptation in the face of fragmentation and rapid change than a set of disconnected agents. Planners have many roles in such networks, and planning education needs to incorporate new subject matter to better prepare planners for these roles.

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Crossref · 10.1177/0739456x0202100301

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Metadata

Authors
Booher, D. E., & Innes, J. E.
Venue
Journal of Planning Education and Research
Published
2002-03
Volume
21
Issue
3
Pages
221-236
ISSN
  • 0739-456X (ISSN-L)
  • 1552-6577
OpenAlex
W2096166347
Cited by
554
References
2
FWCI
47.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Network Power in Collaborative Planning. https://app.cochat.ai/papers/10.1177/0739456x0202100301
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Booher, D. E., & Innes, J. E. (2002). Network Power in Collaborative Planning. Journal of Planning Education and Research. https://doi.org/10.1177/0739456x0202100301

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.