Intercrisis learning in disaster response network
Experience of Korea from Mers and Covid-19
Datos Bibliográficos
| ID | 7262069 |
|---|---|
| Autores | Ran Kim (0000-0003-1828-2301, Seoul National University), Hyun-Jae Shin (0000-0001-9452-7687, Seoul National University), Phil Kim (0000-0001-9911-9711, Center of Intelligent Society and Poilicy, Seoul National University, Gwanak-gu, Korea) |
| Año | 2023 |
| Volumen | 31 |
| Número | 1 |
| Páginas | 40-62 |
| Fecha de publicación | 2023-01-02 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Asian Journal of Political Science (JOURNAL) |
| Identificadores de la revista | ISSN: 0218-5377 • E-ISSN: 1750-7812 |
| Editorial | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/02185377.2022.2157295 |
| OpenAlex | W4318476509 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 40 |
This paper critically reviews whether the hierarchical system or intercrisis learning can be sufficient to understand Korea's COVID-19 responses. Our case study suggests that a Korean response system is a hybrid form that uses a hierarchical structure together with a network approach. To unveil theoretical models of how learning may occur and evolve during a crisis, we employ a policy learning model combining the network perspective and the four Cs model (cognition, communication, coordination, and control). We analyse the change in government manuals, response policies, and agenda streams observed in government documents. This analysis reveals far more complex interactions among actors and policies, both flexible and rigid at different phases of COVID-19. On top of policy learning, we conclude that it is necessary to rediscover the power of citizen voluntary responses and collaboration among actors of the response network through value change
Cognition · Control (management · Coronavirus disease 2019 (COVID-19 · Disaster response · Emergency management · Government (linguistics · Knowledge management · Machine learning · Perspective (graphical · Policy learning · Political science · Public relations · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Flood Risk Assessment and Management · Law · Medicine · Psychology · Artificial Intelligence
Managing Uncertainties in Networks
Culture and Organizational Learning
The Moral Machine experiment
Organizational Memory
Organizational Effectiveness and Bureaucratic Red Tape
Organizational Learning
Resilience and Stability of Ecological Systems
Handbook on Complexity and Public Policy
Effect of Information Disclosure Policy on Control of Infectious Disease
Policy learning and policy change
Understanding Multiplexity of Collaborative Emergency Management Networks
Fighting Covid ‐19 with Agility, Transparency, and Participation
Crisis Decision‐Making on a Global Scale
The lessons of learning
Understanding and Creating Whole Organizational Change Through Learning Theory
The Network Governance of Crisis Response
Crisis Management in Hindsight
Learning under Uncertainty
Pathologies of policy learning
Can policy forums overcome echo chamber effects by enabling policy learning? Evidence from the Irish climate change policy network
Public Complacency under Repeated Emergency Threats
Learning from Abroad
Organizational Learning
| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 1,5 |
| Intervalo de citas | 2024 - 2024 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |