Türkiye’de Telekomünikasyon Hizmetlerinin Yayılımı
Year 2012,
Volume: 12 Issue: 4, 497 - 510, 01.09.2012
Mehmet Karaçuka
Abdurrahman Nazif Çatık
Abstract
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
References
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- 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.
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- Roller, L.H. ve Waverman, L. (2001) “Telecommunications Infrastructure and Economic 58:107-110. Development: A Simultaneous Approach” American Wireless Communications” Journal of Business Research, Economic Review, 91(4):909-923. Similarity and Adoption Timing on the Diffusion of
- Rouvinen, P. (2006) “Diffusion of Digital Mobile “The Effects of Country Characteristics, Culture Telephony: Are Developing Countries Different?” Telecommunications Policy, 30:46-63.
- Srinivasan, V. ve Mason, C.H. (1986) “Nonlinear Least Squares Estimation of New Product Diffusion Models” Marketing Science, 5(2):169-178.
- Su, Y. ve Han L. (1998) “A New Literature Growth
Model: Variable Exponential Growth Law of Literature”
Scientometrics, 42(2):259-265.
- Sundqvist, S., Frank, L. ve Puumalainen, K. (2005)
“The Effects of Country Characteristics, Culture
Similarity and Adoption Timing on the Diffusion of
Wireless Communications” Journal of Business Research,
58:107-110.
- Van den Bulte, C. and Lilien, G. L. (1997). Bias and
systematic change in the parameter estimates of macrolevel
diffusion models. Marketing Science; 16(4): 338-
353.
- Wu, F. ve Chu, W. (2010) “Diffusion Models of
Mobile Telephony” Journal of Business Research, 63:497-
501.
Diffusion of Telecommunication Services in Turkey
Year 2012,
Volume: 12 Issue: 4, 497 - 510, 01.09.2012
Mehmet Karaçuka
Abdurrahman Nazif Çatık
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
References
- Bass, F.M. (1969) “A New Product Growth for Model Consumer Durables” Management Science, 15(5):215-227.
- Bass, F.M., Krishnan, T.V ve Jain, D. (1994) “Why The Bass Model Fits Without Decision Variables” Marketing Science, 13(3): 203-223.
- Botelho, A. ve Pinto, L.C. (2004) “The Diffusion of Cellular Phones in Portugal” Telecommunications Policy, 28(5/6), 427-437.
- 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.
- Chow, G.C. (1967) “Technological Change and the Demand for Computers” American Economic Review, 57(5): 1117-1130.
- 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.
- 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.
- Doganoglu, T.ve Grzybowski, L. (2007) “Estimating Network Effects in Mobile Telephony in Germany” Information Economics and Policy, 19(1):65-79.
- Doganoglu, T. ve Wright, J. (2006) “Multihoming And Compatibility” International Journal of Industrial Organization, 24(1):45-67.
- 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.
- 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.
- Geroski, P.A. (2000) “Models of Technology Diffusion” Research Policy, 29(4-5):603-625.
- 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.
- Griliches, Z. (1957) “Hibryd Corn: An Exploration in the Economics of Technological Change” Econometrica, 25(4):501-522.
- Gruber, H. ve Verboven, F. (2001) “The Diffusion of Mobile Telecommunications Services in The European Union” European Economic Review, 45(3):577-588.
- Gruber, H. (2005) The Economics of Mobile Telecommunications, Cambridge, Cambridge University Press.
- ICTA. (2012). Quarterly Market Data Report. Ankara: 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):163-170.
- Knudson, M.K. (1991) “Incorporating Technological Change in Diffusion Models” American Journal of Agricultural Economics; 73(3):724-733.
- Lee, M. ve Cho, Y. (2007) “The Diffusion of Mobile Telecommunications Services in Korea” Applied Economics Letters, 14:477-481.
- Lekvall, P. ve Wahlbin, C. (1973) “A Study of Some Assumptions Underlying Innovation Diffusion Functions” The Swedish Journal of Economics; 75(4):362- 377.
- Mahajan, V. E. ve Muller E. (1979) “Innovation Diffusion and New Product Growth Models In Marketing” Journal of Marketing; 43(4):55-68.
- Mahajan, V., Muller, E. ve Bass, F.M. (1990) “New Product Diffusion Models in Marketing: A Review and Directions for Future Research” Journal of Marketing; 54(1):1-26.
- Mahajan, V.E. ve Peterson, R. (1985) Models for innovation diffusion, Beverly Hills, CA Sage Publications.
- Mansfield, E. (1961) “Technical Change and The Rate of Imitation” Econometrica, 29(4): 741-766.
- Meade N. ve Islam T. (1998) “Technological Forecasting: Model Selection, Model Stability, And Combining Models” Management Science, 44(8):1115- 30.
- Meade, N. ve Islam, T. (2001) “Forecasting The Diffusion of Innovations: Implications for Time Series Extrapolation” Armstrong, J.S (eds.) Principles of Forecasting: A Handbook for Researchers and Practitioners, Dordrecht, Kluwer Academic Publishers.
- Meade, N. ve Islam, T. (2006) “Modelling and Forecasting The Diffusion of Innovation–A 25-Year Review” International Journal of Forecasting, 22(3):519- 545.
- Michalakelis, C., Varoutas, D. ve Sphicopoulos, T. (2008) “Diffusion Models of Mobile Telephony in Greece” Telecommunications Policy, 32:234-245.
- Pilat, D. (2003) ICT and Economic Growth: Evidence from OECD Countries, Industries and Firms, Paris, Model: Variable Exponential Growth Law of Literature” OECD Publications. Scientometrics, 42(2):259-265.
- Roderick, F. ve Preston, P. (1999) “The Long- Run Diffusion and Techno-Economic Performance of National Telephone Networks: A Case Study of Ireland, 1922-1998” Telecommunications Policy; 23(5): 437-457.
- Roller, L.H. ve Waverman, L. (2001) “Telecommunications Infrastructure and Economic 58:107-110. Development: A Simultaneous Approach” American Wireless Communications” Journal of Business Research, Economic Review, 91(4):909-923. Similarity and Adoption Timing on the Diffusion of
- Rouvinen, P. (2006) “Diffusion of Digital Mobile “The Effects of Country Characteristics, Culture Telephony: Are Developing Countries Different?” Telecommunications Policy, 30:46-63.
- Srinivasan, V. ve Mason, C.H. (1986) “Nonlinear Least Squares Estimation of New Product Diffusion Models” Marketing Science, 5(2):169-178.
- Su, Y. ve Han L. (1998) “A New Literature Growth
Model: Variable Exponential Growth Law of Literature”
Scientometrics, 42(2):259-265.
- Sundqvist, S., Frank, L. ve Puumalainen, K. (2005)
“The Effects of Country Characteristics, Culture
Similarity and Adoption Timing on the Diffusion of
Wireless Communications” Journal of Business Research,
58:107-110.
- Van den Bulte, C. and Lilien, G. L. (1997). Bias and
systematic change in the parameter estimates of macrolevel
diffusion models. Marketing Science; 16(4): 338-
353.
- Wu, F. ve Chu, W. (2010) “Diffusion Models of
Mobile Telephony” Journal of Business Research, 63:497-
501.