DocumentCode :
1326450
Title :
Diffusion of Mobile Telephony in China: Drivers and Forecasts
Author :
Liu, Xielin ; Wu, Feng-Shang ; Chu, Wen-Lin
Author_Institution :
Sch. of Manage., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Volume :
59
Issue :
2
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
299
Lastpage :
309
Abstract :
Analyzing mobile telephony diffusion involves identifying drivers and forecasting growth using a growth model. However, to our knowledge, no framework for model selection exists. To eliminate ad hoc model selection, this study presents a novel model-comparison method based on an analysis of mobile telephony diffusion in China, which accounts for one-fifth of global mobile telephony subscriptions. Determinants of the diffusion rate are then analyzed using the most appropriate model identified by the proposed model-comparison method in terms of minimum root-mean-square error. Empirical results identify the Gompertz model as the best model for diffusion forecasting. The three most significant determinants are low-cost mobile handsets, prepaid services, and personal handy-phone system (PHS) services. All of these determinants contribute to meeting the demand in China´s low-end market. This study combines the proposed model-comparison method with estimates of determinants of diffusion rate to improve analysis and forecasting accuracy for mobile telephony diffusion. Moreover, model comparisons using data from eight representative countries (Brazil, China, France, Germany, India, Russia, the U.K., and the U.S.) provide a valuable reference for model selection for mobile telephony diffusion.
Keywords :
forecasting theory; mean square error methods; mobile handsets; China low-end market; Gompertz model; ad hoc model selection; global mobile telephony subscriptions; growth forecasting; growth model; low-cost mobile handsets; minimum root-mean-square error; mobile telephony diffusion analysis; model-comparison method; personal handy-phone system services; prepaid services; Biological system modeling; Logistics; Mathematical model; Mobile communication; Predictive models; Technological innovation; Telephony; Diffusion forecasting; mobile telephony; technology diffusion; telecommunications;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/TEM.2010.2058854
Filename :
5575412
Link To Document :
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