Reputation Signals in Citizen and Bureaucrat Decision-Making

The study of organizational reputation in public administration has gained substantial traction in recent years, especially as governance adapts to the complexities introduced by digital transformation. Reputation shapes crucial outcomes—citizen trust, bureaucratic discretion, compliance, and resilience—yet scholarly analysis remains fragmented across fields such as co-production, crisis communication, algorithmic governance, and street-level bureaucracy. This fragmentation has hindered the development of a cohesive understanding of how reputation functions dynamically across the varied interfaces of public governance. While existing research highlights the importance of performative, procedural, moral, and technical dimensions of reputation, there is growing recognition that the behavioral implications of these reputation signals remain insufficiently understood, particularly in rapidly changing institutional contexts.Efforts to deepen the theoretical foundations of reputation in public administration have underscored the necessity of moving beyond static conceptualizations. Recent studies suggest that reputation operates as a signaling system, shaping both organizational behavior and external perceptions through communication, mediation, and adaptive responses to stressors such as crises. However, questions persist regarding which signals are most salient, how they are mediated through communication channels, and what mechanisms underlie their influence on trust, participation, and resilience. Moreover, the rise of algorithmic governance introduces new variables, as reputation affects how bureaucrats interact with AI tools, distribute discretion, and navigate accountability in digital systems. Despite progress, there remains a need for rigorous empirical work—using experiments, field interventions, and longitudinal evidence—to clarify these mechanisms and inform both theory and practice.This Research Topic aims to integrate and advance scholarship on reputation signals as fundamental behavioral infrastructure in contemporary public administration. The objective is to build a unified theoretical framework that links the multi-dimensional nature of reputation to concrete behavioral effects among citizens and bureaucrats, elucidates the mechanisms of communication and participation, and addresses the challenges posed by crises and digital innovation. By synthesizing insights across subfields, this topic pursues a deeper understanding of how reputation operates as a governance mechanism, fostering actionable knowledge for public managers operating in digitally transforming environments.To gather further insights in the boundaries of reputation signals in public administration, we welcome articles addressing, but not limited to, the following themes:• The micro-foundations and architecture of reputation signals and their behavioral effects on citizens and bureaucrats• Communication strategies, mediation mechanisms, and their impact on trust, competence perception, and participation• Organizational reputation under conditions of crisis, blame, and institutional stress, focusing on resilience and legitimacy recovery• The interplay between reputation pressures and algorithmic decision-making, including AI adoption, discrete behaviors, and responsibility attribution• Methodological innovations for studying reputation dynamics, including experimental, field, and longitudinal research designs• Comparative analyses of reputation signaling across cultures, governance systems, or policy domains Topic editors: Sicheng Chen, Tom Christensen, Liang Ma Source: https://www.frontiersin.org/research-topics/78365/reputation-signals-in-citizen-and-bureaucrat-decision-making