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Telecommunications demand forecasting--a review

Citations

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Cited by:

  1. Luis Fernando Gamboa & Jesus Otero, 2008. "An estimation of the pattern of diffusion of mobile phones: the case of Colombia," Documentos de Trabajo 5149, Universidad del Rosario.
  2. Robertson, Alastair & Soopramanien, Didier & Fildes, Robert, 2007. "A segment-based analysis of Internet service adoption among UK households," Technology in Society, Elsevier, vol. 29(3), pages 339-350.
  3. Andrea BASTIANIN & Marzio GALEOTTI & Matteo MANERA, 2011. "Forecast evaluation in call centers: combined forecasts, flexible loss functions and economic criteria," Departmental Working Papers 2011-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  4. Franses, Philip Hans, 2021. "Modeling box office revenues of motion pictures✰," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  5. Takanori Ida & Shin Kinoshita & Masayuki Sato, 2008. "Conjoint analysis of demand for IP telephony: the case of Japan," Applied Economics, Taylor & Francis Journals, vol. 40(10), pages 1279-1287.
  6. 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.
  7. Rajae Azrak & Guy Melard & Hassane Njimi, 2003. "Forecasting in the analysis of mobile telecommunication data: correction for outliers and replacement of missing observations," ULB Institutional Repository 2013/13836, ULB -- Universite Libre de Bruxelles.
  8. Michalakelis, C. & Sphicopoulos, T., 2012. "A population dependent diffusion model with a stochastic extension," International Journal of Forecasting, Elsevier, vol. 28(3), pages 587-606.
  9. 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.
  10. James W. Taylor, 2008. "A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center," Management Science, INFORMS, vol. 54(2), pages 253-265, February.
  11. Barrow, Devon K., 2016. "Forecasting intraday call arrivals using the seasonal moving average method," Journal of Business Research, Elsevier, vol. 69(12), pages 6088-6096.
  12. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
  13. Shin, Hyungsup & Jung, Jiyeon & Koo, Yoonmo, 2020. "Forecasting the video data traffic of 5 G services in south korea," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  14. 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.
  15. Cox Jr., Louis A. & Popken, Douglas A., 2002. "A hybrid system-identification method for forecasting telecommunications product demands," International Journal of Forecasting, Elsevier, vol. 18(4), pages 647-671.
  16. Christos Michalakelis & Georgia Dede & Dimitris Varoutas & Thomas Sphicopoulos, 2010. "Estimating diffusion and price elasticity with application to telecommunications," Netnomics, Springer, vol. 11(3), pages 221-242, October.
  17. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.
  18. 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.
  19. Venkatesan, Rajkumar & Kumar, V., 2002. "A genetic algorithms approach to growth phase forecasting of wireless subscribers," International Journal of Forecasting, Elsevier, vol. 18(4), pages 625-646.
  20. Dragan Lazarević & Libor Švadlenka & Valentina Radojičić & Momčilo Dobrodolac, 2020. "New Express Delivery Service and Its Impact on CO 2 Emissions," Sustainability, MDPI, vol. 12(2), pages 1-29, January.
  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. S Howick & J Whalley, 2008. "Understanding the drivers of broadband adoption: the case of rural and remote Scotland," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1299-1311, October.
  23. Rajae Azrak & Guy Melard & Hassane Njimi, 2004. "Forecasting in the analysis of mobile telecommunication data: correction for outliers and replacement of missing observations," ULB Institutional Repository 2013/13748, ULB -- Universite Libre de Bruxelles.
  24. D’Ignazio, Alessio & Giovannetti, Emanuele, 2015. "Predicting internet commercial connectivity wars: The impact of trust and operators’ asymmetry," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1127-1137.
  25. 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.
  26. Fildes, Robert, 2003. "New-Product Diffusion Models: V. Mahajan, E. Muller and Y. Wind (Eds.), Kluwer Academic Press, Boston & Dordrecht, 2000, ISBN 0-7923-7751-6. 115.50 EUR/99.95 USD/70.00 GBP," International Journal of Forecasting, Elsevier, vol. 19(2), pages 327-328.
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