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The diffusion of mobile telecommunications services in Korea

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  • Minkyu Lee
  • Youngsang Cho

Abstract

This study investigates the diffusion of mobile telecommunications in Korea. The aim is to compare the performance of logistic model of diffusion with that of a time series autoregressive moving average model and to identify factors that determine the diffusion adoption process. Empirical results are based on annual data on cellular mobile subscribers covering 1984 to 2002. Results suggest that, the diffusion speed increases with per capita GDP, but it decreases with the number of main telephone lines in operation.

Suggested Citation

  • Minkyu Lee & Youngsang Cho, 2007. "The diffusion of mobile telecommunications services in Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 477-481.
    • Handle: RePEc:taf:apeclt:v:14:y:2007:i:7:p:477-481
    DOI: 10.1080/13504850500461431
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    Cited by:

    1. Theologos Dergiades & Apostolos Dasilas, 2010. "Modelling and forecasting mobile telecommunication services: the case of Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 17(18), pages 1823-1828.
    2. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    3. João A. Bastos, 2019. "Forecasting the capacity of mobile networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(2), pages 231-242, October.
    4. Thakur Dhakal & Dae-Eun Lim, 2020. "Understanding ICT adoption in SAARC member countries," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 67-80, April.
    5. Park, Gayoung & Dreamson, Neal, 2023. "The heterogeneous effects of human development and good governance on mobile diffusion in the sub-Saharan region: Evidence from panel quantile regression," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Sheikh Taher ABU & Masatsugu TSUJI, 2010. "The Determinants of the Global Mobile Telephone Deployment: An Empirical Analysis," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(3), pages 21-33.
    7. Lee, Jong-Ho & Garrett, Tony C. & Self, Donald R. & Findley Musgrove, Carolyn S. (Casey), 2012. "Expressive versus instrumental functions on technology attractiveness in the UK and Korea," Journal of Business Research, Elsevier, vol. 65(11), pages 1600-1605.
    8. Ashutosh Jha & Manisha Chakrabarty & Debashis Saha, 2023. "Network Investment as Drivers of Mobile Subscription – A Firm-level Analysis," Information Systems Frontiers, Springer, vol. 25(5), pages 1811-1828, October.
    9. Zaber, Moinul & Sirbu, Marvin, 2012. "Impact of spectrum management policy on the penetration of 3G technology," Telecommunications Policy, Elsevier, vol. 36(9), pages 762-782.
    10. Jongsu Lee & Minkyu Lee, 2009. "Analysis on the growth of telecommunication services: a global comparison of diffusion patterns," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3143-3150.
    11. Honoré, Bidiasse, 2019. "Diffusion of mobile telephony: Analysis of determinants in Cameroon," Telecommunications Policy, Elsevier, vol. 43(3), pages 287-298.
    12. Avila, Luz Angelica Pirir & Lee, Deok-Joo & Kim, Taegu, 2018. "Diffusion and competitive relationship of mobile telephone service in Guatemala: An empirical analysis," Telecommunications Policy, Elsevier, vol. 42(2), pages 116-126.
    13. Sergei Sidorov & Alexey Faizliev & Vladimir Balash & Olga Balash & Maria Krylova & Aleksandr Fomenko, 2021. "Extended innovation diffusion models and their empirical performance on real propagation data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 99-110, June.
    14. Yamakawa, Peter & Rees, Gareth H. & Manuel Salas, José & Alva, Nikolai, 2013. "The diffusion of mobile telephones: An empirical analysis for Peru," Telecommunications Policy, Elsevier, vol. 37(6), pages 594-606.
    15. Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 19308, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    16. Ashutosh Jha & Debashis Saha, 2022. "Mobile Broadband for Inclusive Connectivity: What Deters the High-Capacity Deployment of 4G-LTE Innovation in India?," Information Systems Frontiers, Springer, vol. 24(4), pages 1305-1329, August.
    17. repec:vuw:vuwscr:19308 is not listed on IDEAS
    18. Jha, Ashutosh & Saha, Debashis, 2020. "“Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models”," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    19. Xiaoxia Fu & Ping Zhang & Juzhi Zhang, 2017. "Forecasting and Analyzing Internet Users of China with Lotka–Volterra Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-18, February.
    20. Wu, Feng-Shang & Chu, Wen-Lin, 2010. "Diffusion models of mobile telephony," Journal of Business Research, Elsevier, vol. 63(5), pages 497-501, May.
    21. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    22. Gupta, Ruchita & Jain, Karuna, 2015. "Adoption behavior of rural India for mobile telephony: A multigroup study," Telecommunications Policy, Elsevier, vol. 39(8), pages 691-704.
    23. Winkler, Kay, 2014. "Potential Effects of New Zealand's Policy on Next Generation High-Speed Access Networks," Working Paper Series 4347, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.

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