Demand forecasting on the mobile communication service market using diffusion models and growth curve models: a case study

  • Authors:

  • Sangmun Shin;Yonghee Lee;Kyungjin Park;Yongsun Choi;Charles Kim

  • Affiliations:

  • Department of Systems Management & Engineering, Inje University, Gimhae, Gyungnam, South Korea;Department of Industrial Management Engineering, Dong-A University, Saha, Busan, South Korea;Department of Systems Management & Engineering, Inje University, Gimhae, Gyungnam, South Korea;Department of Systems Management & Engineering, Inje University, Gimhae, Gyungnam, South Korea;School of Computer Engineering, Inje University, Gimhae, Gyungnam, South Korea

  • Venue:
  • ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
  • Year:
  • 2007

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Abstract

For the efficient management of radio resources, a scientific/systematic management system using an engineering approach based on cost-benefit analysis needs to be prepared. In forecasting market competition and demand for various services provided by frequency band, it should be considered necessary to enhance the reliability of forecasting data using the most rational forecast techniques. Many researchers have investigated models of forecasting the demand for new products. For the middle or long term demand forecasting, diffusion models and growth curve models are frequently used. In this paper, we demonstrate how to estimate reasonable and highly reliable forecasting data about demand of subscribers for service at the mobile communication market by applying diffusion and growth curve models.