Research on the Cooperation of Emergency Response Based on the Exponential Random Graph Models

DOI

https://doi.org/10.2991/seiem-16.2016.107How to use a DOI?

Keywords

organizational cooperation, emergency response, Exponential Random Graph Models

Abstract

Recently, the domestic and foreign research results and management practice have shown the traditional government single management mode is transforming into the multi-subject cooperative governance mode, in the event of emergency response, the multi-subject organization and coordination is conducive to the effective integration of resources and unity and order of operation. Based on the governance theory and synergetic theory, this paper selects the "August 12 Tianjin Port Explosion Event" as the object of empirical study, uses the Exponential Random Graph Models, reveals the cooperative behavior and related relationship of organizations according to the specific structure of the network and then explores the cooperation motivation and cooperation mode between the organizations. The study has found that the nature and the level of the organization impact the cooperation motivation and cooperation mode between the organizations. Therefore, it is necessary to establish the inter-departmental cooperation mechanism and the neighboring dependency cooperation mechanism to improve the internal cooperation network of government, expand the cooperation among organizations, optimize the overall organization cooperation network, establish a collaborative platform led by government and participated by other organizations and construct the whole process of multi-organizational crisis cooperation to improve the efficiency of collaboratively governing crisis management.

Open Access

This is an open access article distributed under the CC BY-NC license.

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TY  - CONF
AU  - Zhouzhi Li
AU  - Wei Kang
PY  - 2016/12
DA  - 2016/12
TI  - Research on the Cooperation of Emergency Response Based on the Exponential Random Graph Models
BT  - 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016)
PB  - Atlantis Press
SP  - 417
EP  - 420
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-16.2016.107
DO  - https://doi.org/10.2991/seiem-16.2016.107
ID  - Li2016/12
ER  -