Permanent record · RIR–2069
Modeling Resilience and Recovery Dynamics in Behavior-Dependent Business Networks Following Major Regional Disasters
Post-disaster recovery is heavily influenced by the behavioral interdependencies within business networks. This research explores how these network dynamics facilitate or hinder long-term economic resilience.
What behavioral factors within business networks most significantly influence the speed of post-disaster economic recovery?
Knowledge gap
What remains worth asking
The source suggests that network behavior is a critical variable, so it remains useful to test how specific network structures impact recovery outcomes.
Potential contribution
Why it may matter
Understanding these dynamics helps businesses and governments build more resilient economic recovery strategies.
Academic placement
OECD fields and topic tags
Scope: Business network recovery following regional disaster events. · Method signals: Network analysis, Longitudinal case studies
Possible study pathways
One question, different levels
Supply chain resilience and crisis management
Complex systems and organizational resilience
Qualification signal
79/100
- Requires access to post-disaster business data.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
APA 7 source
Liu, C. F., Hsu, C. W., & Mostafavi, A. (2025). Dynamics of post-disaster recovery in behavior-dependent business networks. Humanities and Social Sciences Communications, 12(1), Article 1812. https://doi.org/10.1057/s41599-025-06092-0
Paper abstract and discussion context; AI-inferred direction
Open source ↗