한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)

  • 제38권1호
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  • Pages.45-59
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  • 2013
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  • 1225-1119(pISSN)
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  • 2733-4759(eISSN)
한국경영과학회 (The Korean Operations Research and Management Science Society)
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제약적 NLS 방법을 이용한 출시 초기 신제품의 중장기 수요 예측 방안

Constrained NLS Method for Long-term Forecasting with Short-term Demand Data of a New Product

  • 홍정식 (서울과학기술대학교 IT정책전문대학원 산업정보시스템전공) ;
  • 구훈영 (충남대학교 경상대학 경영학부)
  • 투고 : 2012.08.24
  • 심사 : 2013.02.18
  • 발행 : 2013.03.31
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초록

A long-term forecasting method for a new product in early stage of diffusion is proposed. The method includes a constrained non-linear least square estimation with the logistic diffusion model. The constraints would be critical market informations such as market potential, peak point, and take-off. Findings on 20 cases having almost full life cycle are that (i) combining any market information improves the forecasting accuracy, (ii) market potential is the most stable information, and (iii) peak point and take-off information have negative effect in case of overestimation.

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참고문헌

  1. Aytac, B. and S.D. Wu, "Modelling high-tech product life cycles with short-term demand information : a case study," Journal of the Operational Research Society, Vol.62(2010), pp.425-432.
  2. Bass, F.M., K. Gordon, T.L. Ferguson, and M.L. Githens, "DIRECT TV : Forecasting Diffusion of a New Technology Prior to Product Launch," Marketing Engineering, Vol.31, No. 3(2001), pp.82-93.
  3. Kim, T.G., J.S. Hong, and H. Koo, "Forecasting Diffusion of Innovative Technology at Pre- Launch," Accepted to Industrial Management and Data System.
  4. Kim, T.G., J.S. Hong, and J. Ahn, "New Product Forecasting based on the Logistic Diffusion Model incorporating Focused Group Interview," Telecommunications review, Vol.18, No.5(2008), pp.843-859.
  5. Kingsland, S., "The Refractoy Model : The Logistic Curve And The History of Population Ecology," The Quarterly Review of Biology, Vol.57, No.1(1982), pp.29-52. https://doi.org/10.1111/j.1469-185X.1982.tb00363.x
  6. Lawrence, K.D., Lawton, W.H., "Applications of Diffusion Models : Some empirical results," Lexington Books, (2007), Lexington, MA.
  7. Lenk, P.J. and A.G. Rao, "New Models from Old : Forecasting Product Adoption by Hierarchical Bayes Procedures," Marketing Science, Vol.9, No.1(1990), pp.42-53. https://doi.org/10.1287/mksc.9.1.42
  8. Mahajan, V., "A simple algebraic estimation procedure for innovation diffusion models of new product acceptance," Technological Forecasting and Social Change, Vol.30, No.4(1986), pp.331-345. https://doi.org/10.1016/0040-1625(86)90031-4
  9. Meade, N. and T. Islam, "Forecasting with growth curves : An empirical comparison," International Journal of Forecasting, Vol.11, No.2(1995), pp.199-215. https://doi.org/10.1016/0169-2070(94)00556-R
  10. Ozkaya, E., Demand management in global supply chains, Georgia Institute of Technology, 2008.
  11. Park, Y.S. and S.K. Byun, "A Prelaunch Forecasting Model for New Products with an Application to the Satellite DMB Market in Korea," Korean Management Science Review, Vol.23, No.3(2006), pp.41-61.
  12. Peres, R., E. Muller, and V. Mahajan, "Innovation diffusion and new product growth models : A critical review and research directions," International Journal of Research in Marketing, Vol.27(2010), pp.91-106. https://doi.org/10.1016/j.ijresmar.2009.12.012
  13. Putsis, W. and V. Srinivasan, Estimation Techniques For Macro Diffusion Models, Springer, 2000, ISBN 0-7923-7751-6.
  14. Srinivasan, V. and C.H. Mason, "Nonlinear Least Squares Estimation of New Product Diffusion Models," Marketing Science, Vol.5, No.2(1986), pp.169-178. https://doi.org/10.1287/mksc.5.2.169
  15. Tellis, G.J., "A Critical Review of Marketing Research on Diffusion of New Products, in Naresh K. Malhotra (ed.) Review of Marketing Research (Review of Marketing Research, Vol.3)," Emerald Group Publishing Limited, (2007), pp.39-80.
  16. Van den Bulte, C., Lilien, G.L., Bias and Systematic Change in the Parameter Estimates of Macro-Level Diffusion Models, Marketing Science, Vol.16, No.4(1997), pp. 338-353. https://doi.org/10.1287/mksc.16.4.338

피인용 문헌

  1. Analysis and Forecasting of Diffusion of RFID Market in Korea vol.40, pp.4, 2014, https://doi.org/10.7232/JKIIE.2014.40.4.415