Does having a strong commitment matter in building sustainable networks?

Minsun Song ()
Additional contact information
Minsun Song: University of Nevada, Las Vegas

Quality & Quantity: International Journal of Methodology, 2018, vol. 52, issue 2, No 4, 564 pages

Abstract: Abstract Unpredicted disasters obstruct the operation of a well-functioning network, but such a network should be resistant to the challenges of such disasters to provide successful responses. This study aims to investigate the effect of a strong commitment driven by drills on building sustainable emergency management networks during disasters. The logic of collaboration risk is embedded in the collective action dilemma; therefore, building a strong commitment is important. On the basis of an Emergency Medicine survey done in 2012 and 2013 in the Southeastern Economic Regions of Korea, the relation between strong commitment and network arrangements was examined using the Logistic Regression Quadratic Assignment Procedure analysis. The results of this study show that higher levels of strong commitment driven by exercises are more likely to result in sustainable ties. This implies that beyond the interest of creating planning networks, the means of reinforcing the degree of commitment among members of networks, such as drills, must be developed.

Keywords: Collaborative emergency management networks; Strong commitment; Full-scale exercise; LRQAP (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-017-0583-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:qualqt:v:52:y:2018:i:2:d:10.1007_s11135-017-0583-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-017-0583-7

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().