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Liking or Needing? Theorizing on the Role of Affect in Network Behavior

Bibliographic Data

ID15748768
AuthorsMachiel Van Der Heijden (0000-0001-5723-3620, Utrecht University, corresponding author)
Year2023
Volume6
Issue1
Pages28-39
Publication date2023-02-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePerspectives on Public Management and Governance (JOURNAL)
Journal identifiersISSN: 2398-4910 • E-ISSN: 2398-4929
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/ppmgov/gvac025
OpenAlexW4319338832
LanguageEN
Citations received1
References cited81

Informal networks are crucial for the functioning of public organizations and the quality of government service. Because of this, public administration scholars increasingly theorize on what drives informal network behavior, particularly in terms of whom public officials contact for information or advice. However, existing studies provide a rather rational and strategic account of how such networking occurs, pointing to factors, such as preference similarity, resource availability, and social capital as its main drivers. This article critiques the microfoundations of existing theoretical models, arguing that they (a) potentially require too extensive information-processing capabilities on behalf of individual decision-makers and (b) discount the role that affect and emotive responses are likely to play in the social activity of networked interaction. In response, this article proposes three lines of theorizing on how (interpersonal) affect can be incorporated into theorizing about the network behavior of public officials: (1) affect as a fallback strategy; (2) affect in the driver’s seat; and (3) affect as a decision distorter. Several methods are discussed to empirically pursue the presented lines of theorizing

Affect (linguistics · Economics · Emotive · Government (linguistics · Homophily · Microfoundations · Political science · Public relations · Social science · Sociology · Psychology · Public Policy and Administration Research · Social Capital and Networks · Social Media and Politics · Social Psychology

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1
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