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A Forecasting Model Incorporating Replacement Purchase: Mobile Handsets in South Korea's Market

Author

Listed:
  • Jongsu Lee
  • Chul-Yong Lee

    (Technology Management, Economics and Policy Program(TEMEP), Seoul National University)

Abstract

The paper introduces a replacement forecasting model that operates at the brand level and overcomes limitations of existing models. The model (1) consists of a diffusion model and a time series model; (2) separately identifies the diffusion of first-time purchases and that of replacement purchases; (3) reflects brands¡¯ competitive factors affecting product diffusion; and (4) characterizes consumers¡¯ different replacement cycles.The model is applied to South Korea¡¯s mobile handset market. The model performs well in terms of its fit and forecasting when compared with other forecasting models incorporating replacement and repeat purchases. The usefulness of the model stems from its ability to describe complicated environments and its flexibility in including multiple factors that drive diffusion in the regression analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:snv:dp2009:200904
    as

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    References listed on IDEAS

    as
    1. Kim, Yunhee & Lee, Jeong-Dong & Heshmati, Almas, 2008. "Analysis of Pay Inequality and its Impacts on Growth and Performance in the Korean Manufacturing Industry," IZA Discussion Papers 3774, Institute of Labor Economics (IZA).
    2. 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.
    3. Jehoshua Eliashberg & Abel P. Jeuland, 1986. "The Impact of Competitive Entry in a Developing Market Upon Dynamic Pricing Strategies," Marketing Science, INFORMS, vol. 5(1), pages 20-36.
    4. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    5. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    6. Gary L. Lilien & Ambar G. Rao & Shlomo Kalish, 1981. "Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment," Management Science, INFORMS, vol. 27(5), pages 493-506, May.
    7. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
    8. Minhi Hahn & Sehoon Park & Lakshman Krishnamurthi & Andris A. Zoltners, 1994. "Analysis of New Product Diffusion Using a Four-Segment Trial-Repeat Model," Marketing Science, INFORMS, vol. 13(3), pages 224-247.
    9. Tai-Yoo Kim & Almas Heshmati & Jihyun Park, 2009. "Perspectives on the Decelerating Agricultural society," TEMEP Discussion Papers 200901, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2009.
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    Keywords

    Replacement; Diffusion model; Mobile handset market;
    All these keywords.

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