Abstract
various new product innovation diffusion models have been constructed to explore the principles of innovation diffusion. Most of them assume that the potential is dynamical and the price or advertising will influence the diffusion rate and the market potential. However, few of them acknowledge the fact that the population is increasing and the members of different colonies, which have different attitudes of risk and decisive patterns, are transferring between each other. In this research we concentrate on developing a dynamical rate model for innovation diffusion with the influencing factors shown above. With the data of telephone subscribers of urban and rural areas in China, we make an empirical analysis and find this model is more effective to show the process of innovation diffusion with the condition of the urbanization process.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Posad, A., Mahajan, V.: How many pirates should a software firm tolerate? an analysis of Piracy protection on the diffusion of software. International Journal of Research in Marketing 20, 337–353 (2003)
Bass, F.M.: A new product growth model for consumer durables. Management Science 15(5), 215–227 (1969)
Yunjie, C., Yan, Z.: The population target in our country: no more than 1.6 billion before middle of this century[EB/OL], http://www.longhoo.net/gb/longhoo/news/civil/node107/userobject1ai11989.html/2003-01-09
Satoh, D.: A discrete bass model and Its parameter estimation. Journal of the Operations Research 44(1), 1–18 (2001)
Diamond, P.: Stability and periodicity in fuzzy differential equations [J]. IEEE Trans. Fuzzy Syst. 8, 583–590 (2000)
Jun, D.B., Kim, S.K.: Forecasting telecommunication service subscribers in substitutive and competitive environment. International Journal of Forecasting 18, 561–581 (2002)
Chang, P.-T., Chang, C.-H.: A stage characteristic-preserving product lifecycle modeling. Mathematical and Computer Modeling 37, 1259–1269 (2003)
Jiuping, X., Zhigao, L.: Model for innovation diffusion rate. Chinese Journal of Management 1, 330–340 (2004) (in Chinese)
Jiuping, X., Zhigao, L., Hu, Z.: A class of linear differential dynamical systems with fuzzy initial condition. Fuzzy Sets and Systems 158, 2339–2358 (2007)
Jiuping, X., Zhigao, L.: A class of linear differential dynamical systems with fuzzy matrices. Journal of Mathematical Analysis and Application (2009), doi:10.1016/j.jmaa.2009.12.053
Jiuping, X., Zhigao, L.: Aclass of linear differential dynamical systems with fuzzy initial condition. Fuzzy sets and systems 15821, 2339–2358 (2007)
Zhigao, L.: The study of mobile communication technology diffusion in China with fuzzy bass model. In: Proceedings of The Third International Conference on Management Science and Engineering Management, England, UK, pp. 3–9 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liao, Z., Xu, J., Xiang, G. (2010). An Empirical Analysis on the Diffusion of the Local Telephone Diffusion in China. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-16336-4_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16335-7
Online ISBN: 978-3-642-16336-4
eBook Packages: Computer ScienceComputer Science (R0)