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- W3164441213 abstract "Abstract Consumer behavior is a key factor that affects the profitability of a business. It is altered significantly in disaster times, which affects the businesses and their supply chains. The media reports during the recent COVID19 pandemic has provided adequate proof of consumer stockpiling and its consequential effects on the supply chain, also in fuelling additional stockpiling. We have developed an agent-based tool to understand consumer purchase behavioral changes in a disaster scenario. The quantitative consumer decision-making model is based on a logistic transformation model using a regression analysis of a questionnaire survey. The significant factors in the scenario have been assessed and employed in the model. The agent-based model evaluates the purchase intention probability, given the personal and situational factors. Such tools give a quantitative perspective to evaluate consumer behavior for future disaster mitigation and management to help the government and the industries." @default.
- W3164441213 created "2021-06-07" @default.
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- W3164441213 date "2021-07-01" @default.
- W3164441213 modified "2023-10-02" @default.
- W3164441213 title "Quantitative decision-making model to analyze the post-disaster consumer behavior" @default.
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- W3164441213 doi "https://doi.org/10.1016/j.ijdrr.2021.102329" @default.
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