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How do policy environments shape public service motivation during the national disaster? Evidence from large-scale survey experiments

Datos Bibliográficos

ID6296170
AutoresDon S Lee (0000-0001-9138-9661, Sungkyunkwan University), Kee Hoon Chung (0000-0002-2030-375X, Kyung Hee University, autor de correspondencia), Soonae Park (0000-0001-5330-3599, Seoul National University)
Año2025
Volumen45
Número1
Páginas1-22
Fecha de publicación2025-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Public Policy (JOURNAL)
Identificadores de la revistaISSN: 0143-814X • E-ISSN: 1469-7815
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0143814x24000242
OpenAlexW4405824283
IdiomaEN
Citas recibidas1
Referencias citadas57

This study examines the impact of COVID-19-induced policy environments on civil servants’ public service motivation (PSM), a topic not yet adequately researched. Using a vignette survey experiment, we investigate how four types of COVID-19 policy environment information – 1) total deduction of annual leave compensation, 2) a significant increase in working hours, 3) positive assessments of government responses from domestic audiences, and 4) positive assessments of government responses from other advanced democracies – shape civil servants’ PSM during the pandemic. We analyze original data from over 4,000 South Korean civil servants in central and local governments, gathered as part of a representative survey. Results show that reducing compensation to prepare the disaster relief fund has a negative impact, whereas recognition by advanced democracies has a positive impact on PSM. Our analysis suggests the importance of policy environments in both motivating and demotivating civil servants during a pandemic crisis

Business · Cartography · Geography · Political science · Public Service Motivation · Scale (ratio · Service (business · Disaster Management and Resilience · Marketing · Public Policy and Administration Research · Urban, Neighborhood, and Segregation Studies

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Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
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