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Case study design for short-term predictable disasters

Publikationstyp
Journal Article
Date Issued
2020-07-08
Sprache
English
Author(s)
Graß, Emilia  
Fischer, Kathrin  orcid-logo
Institut
Quantitative Unternehmensforschung und Wirtschaftsinformatik W-4  
TORE-URI
http://hdl.handle.net/11420/7192
Journal
Journal of humanitarian logistics and supply chain management  
Volume
10
Issue
3
Start Page
391
End Page
419
Citation
Journal of Humanitarian Logistics and Supply Chain Management 3 (10): 391-419 (2020-07-08)
Publisher DOI
10.1108/JHLSCM-11-2019-0077
Scopus ID
2-s2.0-85087732311
Purpose: The purpose of this work is the development of a structured case study design process for developing case studies in humanitarian logistics, in particular for short-term predictable disaster situations like floods and hurricanes. Moreover, useful public sources are presented in order to enable researchers to find relevant data for their case studies more easily. Design/methodology/approach: A structured framework for case study design is set up, splitting the process into different steps and phases. Findings: The framework is applied to an illustrative example, where case studies with different numbers and levels of detail of scenarios are designed based on the three-day forecast for hurricane Harvey in 2017. The corresponding solutions demonstrate the relevance of using as much forecast information as possible in case study building, and in particular in scenario design, in order to get useful and appropriate results. Research limitations/implications: The case study design process is mostly suitable for short-term predictable disasters, but can also be adapted to other types of disasters. The process has been applied to one specific hurricane here which serves as an example. Practical implications: Also for practitioners, the results of this work are highly relevant, as constructing realistic cases using real data will lead to more useful results. Moreover, it is taken into account in the case study design process that relief agencies are regularly confronted with disasters in certain areas and hence need to define the basic planning situation and parameters “once and for all” and on a long-term basis, whereas disaster specific data from forecasts are only available within a short time frame. Originality/value: The new design process can be applied by researchers as well as practitioners, and the publicly available data sources will be useful to the community.
Subjects
Data sources
Floods
Framework for case study design
Hurricane
Predictable disasters
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