IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-81-322-2416-7_6.html
   My bibliography  Save this book chapter

Relief Network Model for Efficient Disaster Management and Disaster Recovery

In: Managing Humanitarian Logistics

Author

Listed:
  • Sumeet Gupta

    (Indian Institute of Management Raipur)

  • B. S. Sahay

    (Indian Institute of Management Raipur)

  • Parikshit Charan

    (Indian Institute of Management Raipur
    IIT Delhi)

Abstract

The number of disasters the world over has registered an upward trend. Not only in India but also across the globe, the last two decades have seen an upsurge in natural and man-made disasters. Such disasters are not only a significant drain in resources, but they mar the capability of the government and institutions for a significant period of time. This geometric increase has also alerted governments the world over to develop capacities for dealing with such disasters. The great Asian tsunami of 2004 prompted the Indian Government to enact the Disaster Management Act in 2005. A number of other countries have also enacted their own disaster management acts. One of the major issues faced in dealing with disasters is proper coordination among various stakeholders. Various studies have examined approaches to improve coordination and hence deal with disasters effectively and efficiently. However, to date the effective coordination in a disaster management effort has not been achieved. ICT has been used for improving coordination during disasters in recent disasters in Thailand and India. A few studies have also examined the potential use of ICT for improved coordination. This paper develops a conceptual model for the use of ICTs for effective coordination and management of disasters and presents an IT-enabled relief network model for effective disaster management and recovery.

Suggested Citation

  • Sumeet Gupta & B. S. Sahay & Parikshit Charan, 2016. "Relief Network Model for Efficient Disaster Management and Disaster Recovery," Springer Proceedings in Business and Economics, in: B.S. Sahay & Sumeet Gupta & Vinod Chandra Menon (ed.), Managing Humanitarian Logistics, edition 1, chapter 0, pages 85-104, Springer.
  • Handle: RePEc:spr:prbchp:978-81-322-2416-7_6
    DOI: 10.1007/978-81-322-2416-7_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    2. Fabiana Santos Lima & Ricardo Villarroel Dávalos & Lucila M. S. Campos & Andréa Cristina Trierweiller, 2022. "Framework proposal to support the suppliers’ selection of Humanitarian assistance items: a Flood Case Study in Brazil," Annals of Operations Research, Springer, vol. 315(1), pages 317-340, August.
    3. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.

    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:spr:prbchp:978-81-322-2416-7_6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.