Supply Chain for Disaster Management: An Empirical Study

Ashwini Sharma (), Dixit Garg and Ashish Agarwal
Additional contact information
Ashwini Sharma: ITM University
Dixit Garg: National Institute of Technology Kurukshetra
Ashish Agarwal: IGNOU

Chapter Chapter 17 in Managing Humanitarian Logistics, 2016, pp 241-252 from Springer

Abstract: Abstract Engineering education in India at present is going through drastic changes and improvements, which calls for the original thinking toward educating the engineers being produced from the current system. Disaster management is one of the areas where most of the contribution can be done by the engineering students and has not been thought upon considering the huge number of students’ passing out from engineering every year. The authors investigated that almost all the students does not have proper idea about readiness for any type of disaster. This paper describes a model proposed by the authors to improve the disaster readiness of passed out engineering students so that the amalgamation of knowledge, i.e., engineering as well as disaster management, can open up new vistas in finding out the ways and means to fight disaster.

Keywords: Disaster Management Education; Disaster Readiness Model; Engineering Education (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-81-322-2416-7_17

Ordering information: This item can be ordered from
http://www.springer.com/9788132224167

DOI: 10.1007/978-81-322-2416-7_17

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().