Modeling customer behavior using agent-based simulation for Internet of Things environment

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Authors
Basingab, Mohammed
Advisors
Issue Date
2020-06
Type
Article
Keywords
Sales , Consumer behavior , Internet of Things (IoT) , Computer simulation
Research Projects
Organizational Units
Journal Issue
Citation
Basingab, M. (2020). Modeling customer behavior using agent-based simulation for Internet of Things environment. Journal of Management & Engineering Integration, 13(1), 9-19. https://doi.org/10.62704/10057/24741
Abstract

The Internet of Things (IoT) technology represents a paradigm where things are viewed as objects that are connected and traceable through the internet network. As loT technology is progressing nowadays, the number of connected objects to the internet is increasing. Therefore, modeling the loT system becomes complex but at the same time extremely important which needs simulation technique with a high degree of flexibility. For that reason, this paper proposes a conceptual study to investigate the applicability of Agent-Based Simulation (ABS) as a method to model and determine the usage of loT technology. The communication and interaction between customers are simulated using ABS to demonstrate the market behavioral intention toward loT in the state of Florida in the USA.

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Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
Publisher
Association for Industry, Engineering and Management Systems (AIEMS)
Journal
Book Title
Series
Journal of Management & Engineering Integration
v.13 no.1
PubMed ID
ISSN
1939-7984
EISSN