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Journals / Ege Akademik Bakış Dergisi / 2012 / Cilt: 12 - Sayı: 4

Diffusion of Telecommunication Services in Turkey

Türkiye’de Telekomünikasyon Hizmetlerinin Yayılımı

Mehmet KARAÇUKA
Abdurrahman Nazif ÇATIK
Pages
497–510
Publication Date
2012-09-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results suggest that forecasting ability of growth curves depends on the differences in characteristics and the competitive structures of the markets

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper evaluates the forecasting ability of alternative product growth models for telecommunication services in Turkey.
📊
Key Findings & Data:The variable exponential growth model better explains the diffusion process of fixed line services, suggesting that S-shaped models are not able to model the period of the maturity stage.
💡
Conclusion & Impact:Results suggest that forecasting ability of growth curves depends on the differences in characteristics and the competitive structures of the markets
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Telekomünikasyon · öngörü · yeniliklerin yayılımı

Abstract

This paper evaluates the forecasting ability of alternative product growth models for telecommunication services in Turkey. The variable exponential growth model better explains the diffusion process of fixed line services, suggesting that S-shaped models are not able to model the period of the maturity stage. However, the Gompertz model is superior in explaining the diffusion process of mobile line services. Results suggest that forecasting ability of growth curves depends on the differences in characteristics and the competitive structures of the markets

Özet

Bu çalışmada alternatif ürün büyüme modellerinin Türkiye’deki telekomünikasyon hizmetlerini öngörü gücü değerlendirilmiştir. Değişken üstel büyüme modeli sabit hatlardaki yayılma sürecini daha iyi açıklaması, S-şekilli modellerin ürünün olgunluk döneminin modellenmesinde yetersiz kaldıklarını göstermektedir. Ancak, Gompertz modeli mobil hatların yayılma sürecinin açıklanmasında daha üstün görünmektedir. Sonuçlar büyüme eğrilerinin öngörü gücünün, piyasaların karakteristikleri ve rekabetçi yapılarındaki farklılıklara göre değiştiğini göstermektedir

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Cite This Article

KARAÇUKA, M., ÇATIK, A. N. (2012). Diffusion of Telecommunication Services in Turkey. Ege Akademik Bakış Dergisi, Cilt: 12 - Sayı: 4, 497–510. https://ajindex.com/articles/752050

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References (18)

  1. Bass, F.M. (1969) “A New Product Growth for Model Consumer Durables” Management Science, 15(5):215-227.
  2. Bass, F.M., Krishnan, T.V ve Jain, D. (1994) “Why The Bass Model Fits Without Decision Variables” Marketing Science, 13(3): 203-223.
  3. Botelho, A. ve Pinto, L.C. (2004) “The Diffusion of Cellular Phones in Portugal” Telecommunications Policy, 28(5/6), 427-437.
  4. Chandrasekaran, D. ve Tellis, G.J. (2007) “A Critical Review of Marketing Research on Diffusion of New Products” Naresh et al. (eds.) Review of Marketing Research, Armonk NY, M.E. Sharpe Press.
  5. Chow, G.C. (1967) “Technological Change and the Demand for Computers” American Economic Review, 57(5): 1117-1130.
  6. Collopy, F. ve Armstrong, J.S. (1992) “Rule- Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations” Marketing Science, 38(10):1394-1414.
  7. Dekimpe, M.G., Parker, P.M. ve Sarvary, M. (1998) “Staged Estimation of International Diffusion Models” Technological Forecasting and Social Change; 57 (1-2): 105-132.
  8. Doganoglu, T.ve Grzybowski, L. (2007) “Estimating Network Effects in Mobile Telephony in Germany” Information Economics and Policy, 19(1):65-79.
  9. Doganoglu, T. ve Wright, J. (2006) “Multihoming And Compatibility” International Journal of Industrial Organization, 24(1):45-67.
  10. Frank, L.D. (2004) “An Analysis of the Economic Situation on Modeling and Forecasting The Diffusion of Wireless Communications in Finland” Technological Forecasting and Social Change, 71:391-403.
  11. Gamboa, L.F. ve Otero, J. (2009) “An Estimation of the Pattern of Diffusion of Mobile Phones: The Case of Colombia” Telecommunications Policy, 33: 611-620.
  12. Geroski, P.A. (2000) “Models of Technology Diffusion” Research Policy, 29(4-5):603-625.
  13. Golder, P.N. ve Tellis, G.J. (2004) “Going, Going, Gone: Cascades, Diffusion and Turning Points of the Product Life Cycle” Marketing Science, 23(2):207-218.
  14. Griliches, Z. (1957) “Hibryd Corn: An Exploration in the Economics of Technological Change” Econometrica, 25(4):501-522.
  15. Gruber, H. ve Verboven, F. (2001) “The Diffusion of Mobile Telecommunications Services in The European Union” European Economic Review, 45(3):577-588.
  16. Gruber, H. (2005) The Economics of Mobile Telecommunications, Cambridge, Cambridge University Press.
  17. ICTA. (2012). Quarterly Market Data Report. Ankara:
  18. ICTA. Jain, D.C ve Rao, R.C. (1990) “Effect of Price on the Demand for Durables: Modeling, Estimation, and Findings” Journal of Business & Economic Statistics; 8(2):