경영과학 (Korean Management Science Review)

한국경영과학회 (The Korean Operations Research and Management Science Society)
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국내 이동통신서비스의 주파수 대역별 전환수요 예측에 관한 연구

A Study on the Forecasting Demand of Mobile Communication Services for each Frequency Band Using the Substitution of Next Generations

  • 정우수 (한국전자통신연구원 모바일서비스전략연구팀) ;
  • 조병선 (한국전자통신연구원 전략경영연구팀) ;
  • 하영욱 (한국전자통신연구원 전략경영연구팀)
  • 발행 : 2008.03.31
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초록

In the mobile communication service market, this study represents an attempt to forecast the subscribers of the IMT-2000 service market using the questionnaire of experts which is the qualitative technique is used. In this study, by using the substitution model of next generations among products in order to analyze the IMT-2000 demand of service, a demand was predicted. And by estimating the market demand prospect in which it becomes the important factor of the IMT-2000 service diffusion according to each bandwidth frequency the politically necessary approaching direction about the frequency was presented. It will be able to become the important part to not only the business carrier but also the policy maker to examine a prospect toward the subscriber of the IMT-2000 service. As a result, the market demand was exposed to be most big when the SKT 800MHz, and the KTF 800(900)MHz were used as the additional frequency. And it was likely to reach to the IMT-2000 number of subscribers to about 35.750 thousand peoples in the future at 2015.

키워드

참고문헌

  1. 이명호, 안형택, 정보통신서비스간 상호 시장잠식효과 연구, 산업연구원, 2001
  2. 정우수, 국내 디지털 TV 소비자 전환비용 및 수요예측, 2005 전파방송 신성장산업 분석-I, 한국전파진흥협회, 2005
  3. 정통부, 전파정책 중장기 프레임워크(안), 2006
  4. ATLAS Research Group, 일본의 3G 이동 통신용 주파수 추가할당 현황, 2007
  5. ATLAS Research Group, 佛, GSM 주파수 를 3G용으로 허용...반납된 900MHz는 시장 여건에 따라 재분배, Cellular-news, 2007
  6. Bass, F.M., "A New Product Growth Model for Consumer Durables," Management Science, Vol.15, No.5(1969), pp.215-227 https://doi.org/10.1287/mnsc.15.5.215
  7. Bass, F.M., "The Relationship Between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations," Journal of Business, Vol.53(1980), pp.51-67 https://doi.org/10.1086/296099
  8. Dodson, J. A. and E. Muller, "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, Vo.24, No.15(1978), pp.1568-1578 https://doi.org/10.1287/mnsc.24.15.1568
  9. Fisher, J. and R. Pry, "A Simple Substitution Model for Technological Change," Technological Forecasting and Social Change, Vol.3(1971), pp.75-88 https://doi.org/10.1016/S0040-1625(71)80005-7
  10. Horsky, D. and L.S. Simon, "Advertising and the Diffusion of New Products," Marketing Science, Vol.2, No.1(1983), pp.1-17 https://doi.org/10.1287/mksc.2.1.1
  11. Mahajan, V. and E. Muller, "Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations：The IBM Mainframe Case," North-Holland, Technological Forecasting and Social Change, Vol.51(1996), pp.109-132 https://doi.org/10.1016/0040-1625(95)00225-1
  12. Mahajan, V. and R.A. Peterson, "Innovation Diffusion in a Dynamic Potential Adopter Population," Management Science, Vol.24 (1978), pp.1589-1597 https://doi.org/10.1287/mnsc.24.15.1589
  13. Norton, J.A. and F.M. Bass, "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High Technology Products," Management Science, Vol.33(1987), pp.1069-1086 https://doi.org/10.1287/mnsc.33.9.1069
  14. Robinson, B. and C. Lakhani, "Dynamic Price Models for New Product Planning," Management Science, Vol.21(1975), pp.1113-1122 https://doi.org/10.1287/mnsc.21.10.1113