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Multiagent System-Based Simulation of Service Diffusion in Consumer Networks: Introducing Heterogeneity into Consumer Utility

Multiagent System-Based Simulation of Service Diffusion in Consumer Networks: Introducing Heterogeneity into Consumer Utility

Nobutada Fujii, Toshiya Kaihara, Tomoya Yoshikawa
Copyright: © 2011 |Volume: 2 |Issue: 1 |Pages: 14
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781613508794|DOI: 10.4018/ijoci.2011010103
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MLA

Fujii, Nobutada, et al. "Multiagent System-Based Simulation of Service Diffusion in Consumer Networks: Introducing Heterogeneity into Consumer Utility." IJOCI vol.2, no.1 2011: pp.49-62. http://doi.org/10.4018/ijoci.2011010103

APA

Fujii, N., Kaihara, T., & Yoshikawa, T. (2011). Multiagent System-Based Simulation of Service Diffusion in Consumer Networks: Introducing Heterogeneity into Consumer Utility. International Journal of Organizational and Collective Intelligence (IJOCI), 2(1), 49-62. http://doi.org/10.4018/ijoci.2011010103

Chicago

Fujii, Nobutada, Toshiya Kaihara, and Tomoya Yoshikawa. "Multiagent System-Based Simulation of Service Diffusion in Consumer Networks: Introducing Heterogeneity into Consumer Utility," International Journal of Organizational and Collective Intelligence (IJOCI) 2, no.1: 49-62. http://doi.org/10.4018/ijoci.2011010103

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Abstract

Service design methodologies have been discussed mainly in the service engineering research domain. However, service with good quality does not always diffuse because consumers cannot confirm the quality of a service before purchase. Service quality is also heterogeneous because of the nature of service characteristics. Therefore, the service diffusion process must be studied using computer simulations to clarify the process of acceptance among consumers. This paper presents a multiagent system-based model for examining service diffusion among consumer interactions that are modeled as complex networks incorporating heterogeneity of consumer utility. Computer simulation results show that the heterogeneity of consumer utility affects the service diffusion process as well as the network structure of consumers.

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