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