Abstract

The pandemic of COVID-19 has leveraged many aspects in social life around the world. The number of infected people in Indonesia has passed 1.000.000 cases and still getting increased. The Government enforces regulations to minimize the transmission rate of the virus, namely, health protocol. One of the three pillars of health protocol is applying physical distancing and avoiding crowds. The policies have caused the community to significantly reduce activities outside due to their fear of being infected. This condition encourages the change in people’s shopping behavior, especially for daily necessities. This study aims to model shopping behavior change for daily needs or retail products before and after the pandemic. The whole research will focus on modeling the retail consumer behavior change leveraged by the pandemic using Agent-Based Simulation. In this study, the conceptual model for the observed system was mainly built as an essential input for the Agent-Based Simulation in future research. Some relevant and significant variables within the system were identified and being analyzed for constructing the conceptual model. The final results of this study are expected to present a causality analysis framework as the conceptual model that explains the causality of consumer behavior change.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages2426-2436
Number of pages11
ISBN (Print)9781792361241
Publication statusPublished - 2021
Event11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021 - Virtual, Online
Duration: 7 Mar 202111 Mar 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
CityVirtual, Online
Period7/03/2111/03/21

Keywords

  • Agent-Based Simulation
  • COVID-19
  • Causality Analysis Framework
  • Consumer Behavior Change
  • Retail Products

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