Serious Games as a Validation Tool for Decision Support System in Disaster Management—Case of PREDIS

Journal article


Rye, S. and Aktas, E. (2022). Serious Games as a Validation Tool for Decision Support System in Disaster Management—Case of PREDIS. International Journal of Environmental Research and Public Health. 19 (24), p. 16584. https://doi.org/10.3390/ijerph192416584
AuthorsRye, S. and Aktas, E.
Abstract

Validation of Decision Support System (DSS) through simulation games or serious game is one way of validating the cognitive capability models through expert opinion. Here, this technique is used to validate PREDIS as a model for DISaster response supplier selection (PREDIS), previously introduced by authors. This DSS is a combination of a PREDictive component (PRED) for predicting the disaster human impact, an estimation component to Estimate the DISaster (EDIS) needs and optimised for supplier based resource allocation. This paper aims to test the suitability of the PREDIS model further for decision-making in the disaster situation. A quasi-experiment design embedded in a participatory simulation game is conducted to compare the opinion of equal sample of 22 experts and non-experts. The following questions are put forward. First, “Does PREDIS model assists the decision makers to make the same decisions faster”. Second, “Does the PREDIS model assist the non-experts as simulated decision makers to decide like an expert”. Using AHP weights of decision makers’ preference as well as borda counts, the decisions are compared. The result shows that PREDIS helps to reduce the decision making time by experts and non-experts within 6 h after the disaster strike, instead of 72 h. It also assist 71% of the non-expert to make similar de-cision as experts. In summary, the PREDIS model has two major capabilities. It enables the experts and non-experts to predict the disaster results immediately and using the widely available data. It also enables the non-experts to decide almost the same as the experts; either in predicting the human impact of the disaster and estimating the needs or in selecting suitable suppliers.

Year2022
JournalInternational Journal of Environmental Research and Public Health
Journal citation19 (24), p. 16584
PublisherMDPI
ISSN1660-4601
Digital Object Identifier (DOI)https://doi.org/10.3390/ijerph192416584
Publication dates
Print09 Dec 2022
Publication process dates
Accepted23 Nov 2022
Deposited28 Nov 2022
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File Access Level
Open
Accepted author manuscript
License
File Access Level
Controlled
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