Collaboration risk, vulnerability, and resource sharing in disaster management networks
Bibliographic Data
| ID | 6416117 |
|---|---|
| Authors | Minsun Song (0000-0003-0716-3403, Department of Political Science Valdosta State University Valdosta Georgia USA), Joungyoon Hwang (Institute of Public Affairs Yonsei University Seoul Republic of Korea, corresponding author), Inseok Seo (0000-0003-2079-3856, Department of Public Administration Anyang University Anyang‐si Gyeonggi‐do Republic of Korea) |
| Year | 2024 |
| Volume | 84 |
| Issue | 1 |
| Pages | 48-68 |
| Publication date | 2024-05-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Australian Journal of Public Administration (JOURNAL) |
| Journal identifiers | ISSN: 0313-6647 • E-ISSN: 1467-8500 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1467-8500.12642 |
| OpenAlex | W4396744193 |
| Language | EN |
| Citations received | 3 |
| References cited | 59 |
Local governments have the authority to implement emergency management and are the primary responders in emergencies. They are strategically positioned to lead the charge in disaster response. Similar to other wicked problems, disasters require comprehensive and complicated responses. Local emergency management networks facilitate the exchange of information and resources between local entities and their collaborating partners. Successful collaboration across local governments is imperative in unexpected and urgent incidents. This paper applies the institutional collective action (ICA) framework to investigate the effects of relational risk and vulnerability on the formation of networks. The relational risk perceived by each collaborative organisation and the vulnerability of the community are crucial factors in the establishment and maintenance of collaborative networks. In addition, the need for resource exchange also affects the formation of networks. Logistic regression estimates the effect of collaboration risk and vulnerability on network formation using data from the 2015 Seoul EM survey. The findings confirm that the perceived collaboration risk negatively influences the establishment of collaborative ties in networks, while the perceived vulnerability level positively affects the arrangement of collaborative networks. In addition, the respondent's need for resource exchange increases when building networks. These results imply that relieving the relational risk levels is important for facilitating inter‐organisational collaboration. Furthermore, the actors’ assessments of the vulnerability of the community influence their willingness to join networks to relieve external uncertainty and susceptibility. Lastly, organisations’ give‐and‐take relationships on information sharing and physical resource transmission have the potential to stimulate the establishment of collaborative networks. Points for practitioners Sustainable interconnectedness among functionally and horizontally fragmented organisations is crucial for dealing with disasters efficiently, but it does not come solely from emergency management planning itself. Understanding the risk mechanism embedded in an interdependent relationship should increase the potential benefits of a successful response. The degree of vulnerability in a community affects the level of risk perception when collaborating with other organisations. Beyond the internal capacity or assessment of their organisation, how they view their community in general influences their decision‐making differently when it comes to forging inter‐relational collaboration. Resource sharing in a timely manner is crucial during disasters. Each organisation has different negotiating powers and needs to consider building interdependent relationships
Business · Computer network · Computer security · Emergency management · Environmental resource management · Political science · Resource management (computing · Risk analysis (engineering · Risk management · Shared resource · Vulnerability (computing · Computer Science · Disaster Management and Resilience · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Finance
Managing to Collaborate
Between Trust and Control
Social Capital and Value Creation
Nurturing Collaborative Relations
Linking emergency management networks to disaster resilience
Disaster collaboration in tourism
Institutions, Institutional Change and Economic Performance
Gender Dimensions in Disaster Management
Hazards Vulnerability and Environmental Justice
What Is a Disaster
Disaster mitigation
Mainstreaming gender in disaster reduction
Policy Analysis of Instrument Design
Communication, Coherence, and Collective Action
Climate Planning and Implementation in Metropolitan Transportation Governance
Rational Choice and Regional Governance
Testing the forms and consequences of collaboration risk in emergency management networks
When Collaboration Is Risky Business
Understanding Multiplexity of Collaborative Emergency Management Networks
Introduction
Mitigating Uncertainty and Risk in Planning for Regional Preparedness
The Effect of Problem Severity, Managerial and Organizational Capacity, and Agency Structure on Intergovernmental Collaboration
Leadership in an interorganizational collaboration
Recovery after Disaster
The Impact of Administrative Structure on the Ability of City Governments to Overcome Functional Collective Action Dilemmas
Regional Integration Through Contracting Networks
The Collaboration Riskscape
Do Political Similarities Facilitate Interlocal Collaboration
Emergency Management Research and Practice in Public Administration
The Institutional Collective Action Framework
Updating the Institutional Collective Action Framework
Costs and outcomes of collaborative relationships
Contracting or Public Delivery? The Importance of Service, Market, and Management Characteristics
Transaction Costs and Institutional Explanations for Government Service Production Decisions
Collaboration and Leadership for Effective Emergency Management
Dilemmas in a general theory of planning
Constructing a holistic approach to disaster risk reduction
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |