About: Embeddedness in cross-agency collaboration and emergency management capability: Evidence from Shanghai's urban contingency plans

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Embeddedness in cross-agency collaboration and emergency management capability: Evidence from Shanghai's urban contingency plans
Creator	Fan, Bo Huang, Kun Liu, Ruoxuan Zhu, Yuxuan
Source	Elsevier; Medline; PMC
abstract	Abstract Governments are increasingly emphasizing emergency management in response to public emergencies that cause extensive consequences and involve multiple government agencies. One of the influential measures adopted by governments is the establishment of cross-agency networks. Scholars have validated the importance of cross-agency collaboration and networks, but only a few studies have examined cross-agency information sharing and utilization mechanism of joint emergency actions. Inspired by the theory of network embeddedness, we study the joint effects of informational and task attributes of embeddedness and absorptive capacity of the leading agency on collaborative emergency capacity. Our data consist of 110 local government contingency plans collected from F District in Shanghai, China. We found that a well-structured cross-agency network and a leading department with great information accessibility will significantly affect the efficiency of emergency collaborations. The capacity to absorb information significantly enhances the improvement of emergency collaboration.
has issue date	2019-10-31(xsd:dateTime)
bibo:doi	10.1016/j.giq.2019.101395
bibo:pmid	32288167
has license	els-covid
sha1sum (hex)	1b21584116d57c12aad732ac4d83da8b6aab681b
schema:url	https://doi.org/10.1016/j.giq.2019.101395
resource representing a document's title	Embeddedness in cross-agency collaboration and emergency management capability: Evidence from Shanghai's urban contingency plans
has PubMed Central identifier	PMC7127676
has PubMed identifier	32288167
schema:publication	Government Information Quarterly
resource representing a document's body	covid:1b21584116d57c12aad732ac4d83da8b6aab681b#body_text
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