Emotions and Reputation Learning by Audience Networks: A Research Agenda in Bureaucratic Politics.
Audiences that observe and interact with government agencies play a crucial role in shaping these agencies' reputations. However, existing research often treats these audience networks as monolithic, overlooking the inherent diversity in their cognitive and emotional processing of reputational infor...
| Publicado en: | Public Administration Review Vol. 86; no. 1; pp. 156 - 171 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan/Feb2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=190956094&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 190956094 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Jan/Feb2026 vid: 86 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 190956094 10.1111/puar.70004 ppf: 156 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 485KB tig: atl: Emotions and Reputation Learning by Audience Networks: A Research Agenda in Bureaucratic Politics. aug: au: Maor, Moshe Rimkutė, Dovilė Capelos, Tereza affil: Lauder School of Government, Diplomacy and Strategy, Reichman University, Herzliya, Israel Department of Political Science and Public Administration, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands Department of Politics and International Relations (PAIR), University of Southampton, Southampton, UK su: Emotions Decision making Judgment (Psychology) Online reputation management Emotional intelligence Cognitive psychology Rational-legal authority Stakeholder analysis sug: subj: Emotions Decision making Judgment (Psychology) Online reputation management Emotional intelligence Cognitive psychology Rational-legal authority Stakeholder analysis keyword: affect‐as‐information theory affective intelligence theory audience networks emotions government agencies reputation learning affect‐as‐information theory affective intelligence theory audience networks emotions government agencies reputation learning ab: Audiences that observe and interact with government agencies play a crucial role in shaping these agencies' reputations. However, existing research often treats these audience networks as monolithic, overlooking the inherent diversity in their cognitive and emotional processing of reputational information. This approach fails to account for the variations in how audiences experience and evaluate agencies. To address this gap, we propose a new research agenda focused on the role of emotions in bureaucratic politics. We introduce a novel theoretical framework of Reputation Learning, informed by Affect‐as‐Information Theory and Affective Intelligence Theory, to explore the downstream effects of emotions as content and as process in shaping judgment formation and information processing. Specifically, we identify emotion‐based components of bureaucratic reputation and examine how emotions influence audience decision‐making processes and perceptions of government agencies. We conclude by outlining four key contributions of this framework to advancing the study of emotions in bureaucratic politics. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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