XDSL GENİŞBANT AĞ TEKNOLOJİSİ ÜRÜNLERİNİN TÜRKİYE’DE YAYILIMI VE BASS YENİLEŞİM YAYILMA MODELİ GERÇEKLEMESİNİN ARAŞTIRILMASI

Year 2009, Volume: 27 Issue: 2, 367 - 383, 11.03.2015

İsmail Bektaş Hasan Ayyıldız

Keywords

Yeniliğin Yayılımı, Bass Modeli, XDSL, Tahmin

References

• BASS, Frank. M., “A New Product Growth Model for Consumer Durables”, Management Science, 1969, 15, pp.215–227.
• BASS, Frank M. ve diğerleri, “Why the Bass Model Fits Without Decision Variables”, Marketing Science, 1994, Vol. 13, No. 3 (Summer), pp. 204–223.
• COOPER, R., “Winning at New Products: Accelerating the Process From Idea to Launch”, Perseus Publishing, 2001, p. 27.
• DAISUKE, Satoh, “A Discrete Bass Model and Its Parameter Estimation”Journal of the Operations Research Society of Japan, March 2001, Vol. 44, No. 1.
• FOURT, L. A. and WOODLOCK, J. W., “Early Prediction of Market Success for New Grocery Products”, Journal of Marketing, 1960, No.2, Vol. 26, pp.31-8.
• GHARAVI, H. ve diğerleri, “Information and Communication Technology Diffusion, Collective Rationality and Form Selection in the Australian Stockbroking Industry”, In Proceedings of the Americas Conference on Information Systems, New York, 2004, pp.2455–2463.
• HSUE Cheng ve diğerleri, Forecasting Innovation Diffusion of Products Using Trend-Weighted Fuzzy Time-Series Model, Expert Systems with Applications, 2009, 36, pp. 1826–1832.
• İTS, İktisat Terimleri Sözlüğü, 2004.
• KOTLER, P., Marketing Management: Analysis, Planning, Implementation and Control, 7th ed. Prentice Hall, Inc, New Jersey, 1991.
• LAWRENCE Kenneth D. ve diğerleri, “Forecasting New Adoptions: A Comparative Evaluation of Three Techniques of Parameter Estimation”, Decisions Sciences Enstitute Annual Meeting, 2008.
• LUKE Snyder and AUTAR Kaw, Nonlinear Regression, http://numericalmethods.eng.usf.edu, Erişim Tarihi (10/02/2009).
• MAHAJAN, V. ve diğerleri, “An Evaluation of Estimation Procedures for New Product Diffusion Models”, In V. Mahajan and Y. Wind (eds.): Innovation Diffusion Models of New Product Acceptance, Ballinger Cambridge, Massachusetts, 1986, pp. 203-232.
• MANSFIELD, E. A., “Technological Change and the Rate of Imitation”, Econometrica, 1961, No. 4, Vol. 29.
• MEADE, N., and ISLAM, T., Modeling and Forecasting the Diffusion of Innovation-A 25-Year Review”, International Journal of Forecasting, 2006, 22 (3), pp. 519–545.
• OECD, Broadband Statistics, http://www.oecd.org/sti/ict/broadband, Erişim Tarihi (10/02/2009).
• ROGERS, E. M., Diffusion of Innovations, 4th ed., New York: The Free Press, 1995.
• RYAN, B. and GROSS, N. C., The Diffusion of Hybrid Seed Among Iowa Farmers, 1943.
• SOLDATOS, J. and HARDY, J., “The New Product Development Process In Australian Grocery Organizations”, Vadyba/Management, 2007, Nr. 1, (14).
• SONJA Radas, “Diffusion Models in Marketing: How to Incorporate the Effect of External Influence?”, Privredna Kretanja i Ekonomska Politika, 2005, p. 105.
• SPSS, Statistical Package for Social Sciences, Release 9.0, 1998.
• TDK, Türk Dil Kurumu Güncel Türkçe Sözlük, 2009.TK, Türkiye Telekomünikasyon Sektöründeki Gelişmeler ve Eğilimler, Yıllık Rapor, 2007.
• TT, Türk Telekomünikasyon A.Ş, Yıllık Raporu, 2009.
• TUİK, Türkiye İstatistik Kurumu, http://www.tuik.gov.tr/ PreHaberBultenleri.do?id=3992&tb_id=1, Erişim Tarihi (10/02/2009).
• ULRIKE, B., “Innovative Versus Incremental New Business Services: Different Keys for Achieving Success”, Product Innovation Management, 2000, 18, pp. 169-187.