@article{ref1,
title="Serious games as a validation tool for PREDIS: a decision support system for disaster management",
journal="International journal of environmental research and public health",
year="2022",
author="Rye, Sara and Aktas, Emel",
volume="19",
number="24",
pages="e16584-e16584",
abstract="In this paper, we validate PREDIS, a decision support system for disaster management using serious games to collect experts' judgments on its performance. PREDIS is a model for DISaster response supplier selection (PREDIS). It has a PREDictive component (PRED) for predicting the disaster human impact and an estimation component to Estimate the DISaster (EDIS) needs to optimise supplier-based resource allocation. A quasi-experiment design embedded in a participatory simulation game is conducted to compare the opinions of equal samples of 22 experts and non-experts. The following questions are put forward. First, &quot;Does PREDIS model assists the decision makers to make the same decisions faster?&quot; Second, &quot;Does the PREDIS model assist the non-experts as simulated decision makers to decide like an expert?&quot; Using AHP weights of decision makers' preferences 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 to 6 h after the disaster strike, instead of the usual 72 h. It also assists 71% of the non-experts to make decisions similar to those made by experts. In summary, the PREDIS model has two major capabilities. It enables the experts and non-experts to predict the disaster results immediately using widely available data. It also enables the non-experts to decide almost the same as the experts; either in predicting the human impact of a disaster and estimating the needs or in selecting suitable suppliers.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph192416584",
url="http://dx.doi.org/10.3390/ijerph192416584"
}