Abstract

The relationship patterns of organizations participating in disaster response projects have a significant impact on their performance. However, research on appropriate relationship patterns of disaster response organizations is lacking both in theory and practice. To fill this gap, we conducted a comparative study on three interorganizational relationship patterns: government-centric, decentralized participatory, and partially collaborative. Drawing on the complex network modeling method, the mechanism of the interorganizational network composed of participating organizations in disaster response projects are conceptualized to depict different relationship patterns. Then, we conducted numerical simulation to further explore the optimal relationship pattern from the perspective of disaster response project effectiveness, efficiency, and fairness. The results reveal that the optimal organizational relationship pattern varies with changes in disaster response conditions. In the initial situation of an emergency with insufficient resources, government agencies should coordinate nongovernmental organizations (NGOs) to participate in disaster response in an orderly manner. When the demand for emergency resources drops, or the supply of emergency resources gradually becomes sufficient as disaster response projects progress, the government-centric pattern becomes the optimal relationship pattern. Moreover, the relationship between the response network structure and disaster response performance turns out to be inconsistent. At the early stage, response performance can be improved by reducing the number of steps to complete disaster relief and by appropriately increasing the connections between government agencies and NGOs. When a disaster situation is mitigated, the centralization of response power and unified coordination should be emphasized to improve emergency response performance. This study contributes to improving disaster response performance from the organizational relationship perspective and enriching disaster management theories.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This material is based upon work supported by the National Natural Science Foundation of China under Grant Nos. 72072131 and 72001160, the National Office for Philosophy and Social Sciences under Grant No. 20CGL047, and the Fundamental Research Funds for the Central Universities under Grant Nos. 22120200364 and 2021SHZDZX0100. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.

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Journal of Management in Engineering
Volume 38Issue 6November 2022

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Received: Oct 8, 2021
Accepted: Jun 6, 2022
Published online: Aug 8, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 8, 2023

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Ph.D. Student, School of Economics and Management, Tongji Univ., Shanghai 200092, China. ORCID: https://orcid.org/0000-0001-5680-6677. Email: [email protected]
Qian Shi, Ph.D. [email protected]
Professor, School of Economics and Management, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Chao Xiao, Ph.D. [email protected]
Assistant Professor, School of Economics and Management, Tongji Univ., Shanghai 200092, China (corresponding author). Email: [email protected]
Yikun Zhou, Ph.D. [email protected]
Postdoctoral, School of Economics and Management, Tongji Univ., Shanghai 200092, China. Email: [email protected]
Assistant Professor, School of Economics and Management, Tongji Univ., Shanghai 200092, China. ORCID: https://orcid.org/0000-0002-8818-9674. Email: [email protected]

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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
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Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

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