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The diffusion of cellular phones in Portugal

Author

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  • Botelho, Anabela
  • Pinto, L.C.Lígia Costa

Abstract

This paper analyses the pattern and rate of adoption of mobile telephones by the Portuguese population. It is shown that the pattern of diffusion is S-shaped and is consistent with a logistic function, which describes a symmetrical growth process. Furthermore, it is found that the levelling-off process in the diffusion of mobile phones has already begun. The analysis is intended to inform the larger discussion of managing the communications service, as well as to assist analysts concerned about assessing the impact of public policies in the evolution of communications sectors.

Suggested Citation

  • Botelho, Anabela & Pinto, L.C.Lígia Costa, 0. "The diffusion of cellular phones in Portugal," Telecommunications Policy, Elsevier, vol. 28(5-6), pages 427-437, June.
    • Handle: RePEc:eee:telpol:v:28:y::i:5-6:p:427-437
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    Citations

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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. Gamboa, Luis Fernando & Otero, Jesús, 0. "An estimation of the pattern of diffusion of mobile phones: The case of Colombia," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 611-620, November.
    3. F-M Tseng, 2008. "Quadratic interval innovation diffusion models for new product sales forecasting," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1120-1127, August.
    4. Riikonen, Antti & Smura, Timo & Kivi, Antero & Töyli, Juuso, 2013. "Diffusion of mobile handset features: Analysis of turning points and stages," Telecommunications Policy, Elsevier, vol. 37(6), pages 563-572.
    5. 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.
    6. Tseng, Fang-Mei & Wang, Shenq-Yuan & Hsieh, Chih-Hung & Guo, Aifang, 2014. "An integrated model for analyzing the development of the 4G telecommunications market in Taiwan," Telecommunications Policy, Elsevier, vol. 38(1), pages 14-31.
    7. 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.
    8. Barman, Hemanta & Dutta, Mrinal Kanti & Nath, Hiranya K., 2018. "The telecommunications divide among Indian states," Telecommunications Policy, Elsevier, vol. 42(7), pages 530-551.
    9. Rui Pascoal & Jorge Marques, 2011. "Fitting Broadband Diffusion by Cable Modem in Portugal," GEMF Working Papers 2011-20, GEMF, Faculty of Economics, University of Coimbra.
    10. Vesselkova, Alexandr & Riikonena, Antti & Hämmäinena & Heikki, 2015. "Evolution of mobile handset feature dependences," 26th European Regional ITS Conference, Madrid 2015 127192, International Telecommunications Society (ITS).
    11. Gupta, Ruchita & Jain, Karuna, 2016. "Competition effect of a new mobile technology on an incumbent technology: An Indian case study," Telecommunications Policy, Elsevier, vol. 40(4), pages 332-342.
    12. Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
    13. 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).
    14. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.

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