IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i3p1081-d315992.html
   My bibliography  Save this article

Sustainable Emergency Management Based on Intelligent Information Processing

Author

Listed:
  • Yu-Meng Luo

    (Business School, Qingdao University, Qingdao 266100, China)

  • Wei Liu

    (Business School, Qingdao University, Qingdao 266100, China)

  • Xiao-Guang Yue

    (Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology, Rattanakosin 10700, Thailand
    Department of Computer Science and Engineering, School of Sciences, European University Cyprus, 1516 Nicosia, Cyprus)

  • Marc A. Rosen

    (Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1G 0C5, Canada)

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.

Suggested Citation

  • Yu-Meng Luo & Wei Liu & Xiao-Guang Yue & Marc A. Rosen, 2020. "Sustainable Emergency Management Based on Intelligent Information Processing," Sustainability, MDPI, vol. 12(3), pages 1-4, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1081-:d:315992
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/3/1081/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/3/1081/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donatien Agbissoh OTOTE & Benshuai Li & Bo Ai & Song Gao & Jing Xu & Xiaoying Chen & Guannan Lv, 2019. "A Decision-Making Algorithm for Maritime Search and Rescue Plan," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    4. Lenneal J. Henderson, 2004. "Emergency and Disaster: Pervasive Risk and Public Bureaucracy in Developing Nations," Public Organization Review, Springer, vol. 4(2), pages 103-119, June.
    5. Han He & Sicheng Li & Lin Hu & Nelson Duarte & Otilia Manta & Xiao-Guang Yue, 2019. "Risk Factor Identification of Sustainable Guarantee Network Based on Logistic Regression Algorithm," Sustainability, MDPI, vol. 11(13), pages 1-19, June.
    6. Rita Yi Man Li & Kwong Wing Chau & Frankie Fanjie Zeng, 2019. "Ranking of Risks for Existing and New Building Works," Sustainability, MDPI, vol. 11(10), pages 1-26, May.
    7. Feng Hu & Wei Liu & Sang-Bing Tsai & Junbin Gao & Ning Bin & Quan Chen, 2018. "An Empirical Study on Visualizing the Intellectual Structure and Hotspots of Big Data Research from a Sustainable Perspective," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    8. Tagelsir Mohamed Gasmelseid, 2014. "Improving Emergency Response Systems Through the Use of Intelligent Information Systems," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 10(2), pages 37-55, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ubaldo Comite & Kechen Dong & Rita Yi Man Li & M. James C. Crabbe & Xue-Feng Shao & Xiao-Guang Yue, 2020. "An Economic–Business Approach to Clinical Risk Management," JRFM, MDPI, vol. 13(6), pages 1-12, June.
    2. Xue-Feng Shao & Kostas Gouliamos & Ben Nan-Feng Luo & Shigeyuki Hamori & Stephen Satchell & Xiao-Guang Yue & Jane Qiu, 2020. "Diversification and Desynchronicity: An Organizational Portfolio Perspective on Corporate Risk Reduction," Risks, MDPI, vol. 8(2), pages 1-16, May.
    3. Chuanyi Wang & Zhe Cheng & Xiao-Guang Yue & Michael McAleer, 2020. "Risk Management of COVID-19 by Universities in China," JRFM, MDPI, vol. 13(2), pages 1-6, February.
    4. Margherita, Alessandro & Elia, Gianluca & Klein, Mark, 2021. "Managing the COVID-19 emergency: A coordination framework to enhance response practices and actions," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gilbert Cette & Lorraine Koehl & Thomas Philippon, 2019. "The Labor Share in the Long Term: A Decline?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 35-51.
    2. Mahmut Ozer & Matjaž Perc, 2020. "Dreams and realities of school tracking and vocational education," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-7, December.
    3. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    4. Eleni Giouli & Pisinas Yorgos & Anna-Maria Kanzola, 2021. "Human Capital and Production Structure: Evidence from Greece," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 7, January -.
    5. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    6. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    7. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    8. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
    9. Gabriel López-Martínez & Francisco Eduardo Haz-Gómez & José Eulogio Real Deus, 2023. "Are You Really Your Own Boss? Flexi-Vulnerability and False Consciousness of Autonomy in the Digital Labor Culture of Riders," Social Sciences, MDPI, vol. 12(8), pages 1-18, July.
    10. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    11. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    12. Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
    13. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    14. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    15. Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    16. Gregory Casey & Ryo Horii, 2019. "A Multi-factor Uzawa Growth Theorem and Endogenous Capital-Augmenting Technological Change," ISER Discussion Paper 1051, Institute of Social and Economic Research, Osaka University.
    17. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    18. Belitski, Maksim & Korosteleva, Julia & Piscitello, Lucia, 2023. "Digital affordances and entrepreneurial dynamics: New evidence from European regions," Technovation, Elsevier, vol. 119(C).
    19. Chun Song & Lionel J. Beaulieu & Indraneel Kumar & Roberto Gallardo, 2023. "COVID-19-Induced Automation: An Exploratory Study of Critical Occupations," Economic Development Quarterly, , vol. 37(2), pages 183-197, May.
    20. Fran Stewart & Kathryn Kelley, 2020. "Connecting Hands and Heads: Retooling Engineering Technology for the “Smart†Manufacturing Workplace," Economic Development Quarterly, , vol. 34(1), pages 31-45, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1081-:d:315992. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.