DocumentCode
3469979
Title
Diffusion of mobile telephony in China: Driving forces and forecasting
Author
Chu, Wen-Lin ; Liu, Xielin ; Wu, Feng-Shang
Author_Institution
Grad. Inst. of Technol. & Innovation Manage., Chengchi Univ., Taipei, Taiwan
fYear
2009
fDate
2-6 Aug. 2009
Firstpage
2745
Lastpage
2753
Abstract
Analyzing the diffusion of mobile telephony initially involves estimating the driving forces and forecasting for diffusion based on a growth model. However, to our knowledge, no framework for model selection has been developed. To mitigate the randomness in model selection, this study presents a model comparison to analyze the diffusion of mobile telephony in China, which has the most mobile telephone subscribers worldwide, and which has not been analyzed empirically. Empirical results based on data for mobile telephone subscribers in China from 1986-2007 indicate that the Gompertz model is the most appropriate model for these data. The four significant factors affecting the diffusion rate are fixed-line telephony, the low cost of mobile handsets, dasiapay-as-you-talkpsila (pre-payment) service and a personal handy-phone system (PHS) service. Moreover, the forecasting accuracy of penetration of mobile telephony in China in 2008 was up to 95%. This study combines the model comparison method into diffusion studies of mobile telephony to reduce the randomness in model selection, and to increase the accuracy of analysis and forecasting.
Keywords
mobile handsets; mobile radio; telephony; Gompertz model; fixed-line telephony; mobile handsets; mobile telephone subscriber; mobile telephony; model selection; pay-as-you-talk service; personal handy phone system service; pre-payment service; Costs; Economic forecasting; Economic indicators; Innovation management; Logistics; Mobile communication; Mobile handsets; Predictive models; Subscriptions; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
Conference_Location
Portland, OR
Print_ISBN
978-1-890843-20-5
Electronic_ISBN
978-1-890843-20-5
Type
conf
DOI
10.1109/PICMET.2009.5261797
Filename
5261797
Link To Document