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Nonlinear Dynamic Analysis of New Product Diffusion considering Consumer Heterogeneity
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-22
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
When a new product enters the market, individual consumers’ decision-making behavior and purchase time are uncertain.
Based on the dynamics of epidemic transmission theory and agent modeling technology, this study proposes a new coupling model through the combination of the improved SEIR epidemic model and the heterogeneous agent model.
This model considers consumer heterogeneity resulting from three aspects in consumers’ sensitivity, network topology, and considerations of information flow received.
It aims to analyze how consumer heterogeneity affects the scale and speed of new product diffusion.
The proposed model showed that consumers’ characteristics and behavior combination at the microlevel lead to the diversity of nonlinear diffusion curves at the macrolevel for new products.
Moreover, a pilot study is conducted to simulate this model and examine how to estimate the model’s parameters using aggregated data about film products.
The pilot study results suggested that different consumer characteristics and behavior combinations affect the scale and speed of new product diffusion to varying degrees.
In different scenarios, there were significant differences in the influence of the degree of consumer heterogeneity on diffusion, accompanied by the occurrence of threshold.
The results of the empirical analysis in this study are in line with reality.
American Psychological Association (APA)
Tang, Zhongjun& Zhu, Huike. 2020. Nonlinear Dynamic Analysis of New Product Diffusion considering Consumer Heterogeneity. Complexity،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1140037
Modern Language Association (MLA)
Tang, Zhongjun& Zhu, Huike. Nonlinear Dynamic Analysis of New Product Diffusion considering Consumer Heterogeneity. Complexity No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1140037
American Medical Association (AMA)
Tang, Zhongjun& Zhu, Huike. Nonlinear Dynamic Analysis of New Product Diffusion considering Consumer Heterogeneity. Complexity. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1140037
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140037