FINAL_SUBMISSION _ CSP_IJPR Paper_23Nov2017-.pdf (614.98 kB)
The social preferences of local citizens and spontaneous volunteerism during disaster relief operations
journal contribution
posted on 2023-06-09, 09:04 authored by Saileshsingh Gunesse, Nachiappan SubramanianNachiappan Subramanian, Samuel Roscoe, Jothi Basu RamanathanExisting studies on disaster relief operations (DRO) pay limited attention to acts of spontaneous volunteerism by local citizens in the aftermath of disasters. The purpose of this paper is to explore how social preferences motivate citizens to help during post-disaster situations; above and beyond their own self-regarding interests. The paper begins by synthesizing the literature on social preferences from the field of behavioral economics and social psychology with the discourse surrounding behavioral operations management and humanitarian operations management (HOM). By doing so, we identify the motivators, enablers and barriers of local citizen response during disaster relief operations. These factors inform a theoretical framework of the social preferences motivating spontaneous volunteerism in post-disaster situations. We evidence facets of the framework using archival and unstructured data retrieved from Twitter feeds generated by local citizens during the floods that hit Chennai, India in 2015. Our model highlights the importance of individual level action during disaster relief operations and the enabling role of social media as a coordination mechanism for such efforts.
History
Publication status
- Published
File Version
- Accepted version
Journal
International Journal of Production ResearchISSN
0020-7543Publisher
Taylor & FrancisExternal DOI
Issue
21Volume
56Page range
6793-6808Department affiliated with
- Management Publications
Research groups affiliated with
- Pharma Supply Chains and Healthcare Technology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-11-29First Open Access (FOA) Date
2018-12-21First Compliant Deposit (FCD) Date
2017-11-28Usage metrics
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