Citation

Tao Z, Zhang H. Risk Anal. 2023; ePub(ePub): ePub.

Copyright

(Copyright © 2023, Society for Risk Analysis, Publisher John Wiley and Sons)

DOI

10.1111/risa.14121

PMID

36855024

Abstract

This study aims to identify the driving forces behind interorganizational networks in China following disasters. Using the theory of complex adaptive systems, we identified the self-organization process of disaster response as the network formation process. We identified interorganizational networks that emerged in response to two natural hazards and two technical disasters by collecting data from multiple sources. The exponential random model analysis is performed to analyze the effects of structures and organizational attributes on network formation. In structuring networks for disaster response, findings demonstrate that bonding structures take precedence over bridging structures for organizations. Meanwhile, the sector and jurisdiction-based homophily effects facilitate network formation in disaster response. On the basis of research findings, five propositions describing the network formation process in China's disaster response are proposed. Such a theoretical model is essential for advancing research and practice in complex disaster network management.

Language: en

Keywords

network analysis; complex adaptive system; exponent random graph model; interorganizational networks; network formation