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Forecasting telecommunication service subscribers in substitutive and competitive environments

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  • Jun, Duk B.
  • Kim, Seon K.
  • Park, Yoon S.
  • Park, Myoung H.
  • Wilson, Amy R.

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  • Jun, Duk B. & Kim, Seon K. & Park, Yoon S. & Park, Myoung H. & Wilson, Amy R., 2002. "Forecasting telecommunication service subscribers in substitutive and competitive environments," International Journal of Forecasting, Elsevier, vol. 18(4), pages 561-581.
    • Handle: RePEc:eee:intfor:v:18:y:2002:i:4:p:561-581
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    References listed on IDEAS

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    5. Christophe Van den Bulte & Gary L. Lilien, 1997. "Bias and Systematic Change in the Parameter Estimates of Macro-Level Diffusion Models," Marketing Science, INFORMS, vol. 16(4), pages 338-353.
    6. Dan Horsky & Karl Mate, 1988. "Dynamic Advertising Strategies of Competing Durable Good Producers," Marketing Science, INFORMS, vol. 7(4), pages 356-367.
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    8. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    9. Jinn-Tsair Teng & Gerald L. Thompson, 1983. "Oligopoly Models for Optimal Advertising When Production Costs Obey a Learning Curve," Management Science, INFORMS, vol. 29(9), pages 1087-1101, September.
    10. Shmuel S. Oren & Michael H. Rothkopf, 1984. "A Market Dynamics Model for New Industrial Products and Its Application," Marketing Science, INFORMS, vol. 3(3), pages 247-265.
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    Cited by:

    1. Bohlin, Anders & Gruber, Harald & Koutroumpis, Pantelis, 2010. "Diffusion of new technology generations in mobile communications," Information Economics and Policy, Elsevier, vol. 22(1), pages 51-60, March.
    2. Edward Oughton, 2018. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04 (revised), Cambridge Judge Business School, University of Cambridge.
    3. Meeran, Sheik & Jahanbin, Semco & Goodwin, Paul & Quariguasi Frota Neto, Joao, 2017. "When do changes in consumer preferences make forecasts from choice-based conjoint models unreliable?," European Journal of Operational Research, Elsevier, vol. 258(2), pages 512-524.
    4. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    5. Chen, Chaojung & Watanabe, Chihiro & Griffy-Brown, Charla, 2007. "The co-evolution process of technological innovation—An empirical study of mobile phone vendors and telecommunication service operators in Japan," Technology in Society, Elsevier, vol. 29(1), pages 1-22.
    6. Lee, Duk Hee & Park, Sang Yong & Kim, Jong Wook & Lee, Seong Kon, 2013. "Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 498-509.
    7. Edward Oughton, 2017. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04, Cambridge Judge Business School, University of Cambridge.
    8. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Predicting diffusion dynamics and launch time strategy for mobile telecommunication services: an empirical analysis," Information Technology and Management, Springer, vol. 22(1), pages 33-51, March.
    9. Jongsu Lee & Chul-Yong Lee, 2009. "A Forecasting Model Incorporating Replacement Purchase: Mobile Handsets in South Korea's Market," TEMEP Discussion Papers 200904, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2009.
    10. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    11. Chih-Jou Chen & Chia-Chin Chang & Shiu-Wan Hung, 2011. "Influences of Technological Attributes and Environmental Factors on Technology Commercialization," Journal of Business Ethics, Springer, vol. 104(4), pages 525-535, December.
    12. Anders F. Jensen & Elisabetta Cherchi & Stefan L. Mabit & Juan de Dios Ortúzar, 2017. "Predicting the Potential Market for Electric Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 427-440, May.
    13. Meade, Nigel & Islam, Towhidul, 2015. "Forecasting in telecommunications and ICT—A review," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1105-1126.
    14. Lim, Hyungsoo & Jun, Duk Bin & Hamoudia, Mohsen, 2019. "A choice-based diffusion model for multi-generation and multi-country data," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 163-173.
    15. Krishnan, Trichy V. & Seetharaman, P.B. “Seethu” & Vakratsas, Demetrios, 2012. "The multiple roles of interpersonal communication in new product growth," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 292-305.
    16. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.

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