A Viral Product Diffusion Model to Forecast the Market Performance of Products
Joint Authors
Jiang, Ping
Yan, Xiangbin
Wang, Liyan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To investigate the diffusion of products in the market, this paper proposes a viral product diffusion model using an epidemiological approach.
This model presents the process of product diffusion through the dynamics of human behaviors.
Based on the stability theory of Ordinary Differential Equations, we demonstrate the conditions under which a product in the market persists or dies out eventually.
Next, we use Google data to validate the model.
Fitting results illustrate that the viral product diffusion model not only depicts the steady growth process of products, but also describes the whole diffusion process during which the products increase at the initial stage and then gradually decrease and sometimes even exhibit multiple peaks.
This shows that the viral product diffusion model can be used to forecast the developing tendency of products in the market through early behavior of these products.
Moreover, our model also provides useful insights on how to design effective marketing strategies via social contagions.
American Psychological Association (APA)
Jiang, Ping& Yan, Xiangbin& Wang, Liyan. 2017. A Viral Product Diffusion Model to Forecast the Market Performance of Products. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1151903
Modern Language Association (MLA)
Jiang, Ping…[et al.]. A Viral Product Diffusion Model to Forecast the Market Performance of Products. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1151903
American Medical Association (AMA)
Jiang, Ping& Yan, Xiangbin& Wang, Liyan. A Viral Product Diffusion Model to Forecast the Market Performance of Products. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1151903
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151903