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...

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Publicado en:Public Administration Review Vol. 86; no. 1; pp. 156 - 171
Autores principales: Maor, Moshe, Rimkutė, Dovilė, Capelos, Tereza
Formato: Artículo
Publicado: Wiley-Blackwell Jan/Feb2026
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Acceso en línea:Ver este registro en EBSCOhost
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        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
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