Sustainable Emergency Management Based on Intelligent Information Processing

Yu-Meng Luo, Wei Liu, Xiaoguang Yue and Marc A. Rosen
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Yu-Meng Luo: Business School, Qingdao University, Qingdao 266100, China
Wei Liu: Business School, Qingdao University, Qingdao 266100, China
Marc A. Rosen: Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, Canada

Sustainability, 2020, vol. 12, issue 3, 1-4

Abstract: In this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have informed the development and launch of this Special Issue and, second, we provide an overview of the three articles included. In addition, this article introduces this particular Special Issue, not only to complement the somewhat lacking body of related literature, but also to help contemporary companies deal with issues related to sustainable emergency management based on intelligent information processing.

Keywords: emergency management; artificial intelligence; information; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:3:p:1081-:d:315992

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