Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model

Lim, Jinyang; Nam, Changi; Kim, Seong-Cheol; Rhee, Hongjai; Lee, Euehun; Lee, Hong-Kyu

doi:10.1016/j.telpol.2012.07.016

Cited by 31 publications

(11 citation statements)

References 39 publications

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“…Li and Shiu (2012) have analyzed the process of Internet diffusion in China, and observe a high level of digital divide in the country, with the eastern regions characterized by a much higher level of Internet penetration. Similar observations are made by Lim et al (2012), focusing specifically on 3G services. This general difference among regions in the access to and use of ICT has to be taken into account when analyzing the diffusion of m-payment services.…”

Section: Research Context and Background Informationsupporting

confidence: 79%

An analytical framework for an m-payment ecosystem: A merchants׳ perspective

Guo

Bouwman

2016

Telecommunications Policy

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Section: Research Context and Background Informationsupporting

confidence: 79%

An analytical framework for an m-payment ecosystem: A merchants׳ perspective

Guo

Bouwman

2016

Telecommunications Policy

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“…Provinsi yang memiliki pasar potensial 3G yang lebih besar berlokasi di wilayah timur Cina. Dalam urutan menurun, provinsi-provinsi tersebut berturut-turut adalah Shandong, Zhejiang, Jiangsu, Shanghai, Guangdon dan Fujian (Lim et al, 2012).…”

Section: ) Forecasting 3g Mobile Subscription Inunclassified

Proyeksi Jumlah Pelanggan Telepon Bergerak Seluler di Indonesia

Ariansyah¹

2015

BPOSTEL

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“…journal.ump.edu.my/daam ◄ mouth communications and observations of people in the society [12]. BDM had been popular model among researchers in forecasting new product and it had been applied to various areas such as telecommunications, medicine, automobile industry and stocks management [2,13,14,15]. Tourism application using this model is found in Hsiao et al [16], where the authors focused on the effect to the number of visitors if a festival was held in a theme park.…”

Section: Introductionmentioning

confidence: 99%

New tourism product forecasting – application of Bass Diffusion Model and Grey Forecasting Model

Abu

Khaidi

Muhammad

2020

DAAM

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Previous researches usually applied Bass diffusion model (BDM) in forecasting the new product in various areas. This is the first application of BDM to the new tourism product since the model had been developed by Frank M. Bass in 1969. On the other hand, Grey forecasting model able to deal with limited number of data. Both BDM and grey forecasting model have been used in various areas in the forecasting studies. Taking advantages of both models, the combination of both Bass and grey model, called grey Bass forecasting model is applied in the context of the new tourism product forecasting. The objective of this study is to forecast the new tourism product demand in Malaysia using the developed model. Yearly visitors from two ecotourism resorts in Pahang, Tanah Aina Fahad and Tanah Aina Farrah Soraya from 2014 until 2018 are used. The results show that both BDM and grey Bass forecasting model are suitable in forecasting the new tourism product. The authors also suggest other factors affecting the attendance of visitors to be included in further research to conclude which model perform better in the future.

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Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model

Cited by 31 publications

References 39 publications

An analytical framework for an m-payment ecosystem: A merchants׳ perspective

An analytical framework for an m-payment ecosystem: A merchants׳ perspective

Proyeksi Jumlah Pelanggan Telepon Bergerak Seluler di Indonesia

New tourism product forecasting – application of Bass Diffusion Model and Grey Forecasting Model

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