Demand forecasting of high-speed Internet access service considering unknown time-varying covariates

So Young Sohn, Yoonseong Kim, Ho Young Hwang

Research output: Contribution to journalArticle

5 Citations (Scopus)


In order to forecast the demand for information and communication services, it is important to consider not only intrinsic variables representing service characteristics but also unknown time-varying variables such as marketing policy. However, in many cases, information such as a company's internal marketing policy is not available. This study proposes a negative exponential growth curve model that incorporates unobservable time-varying covariates by reversely estimating the unknown covariates. The proposed approach is then applied to technological forecasting of high-speed Internet access services provided by a telecommunication corporation in Korea.

Original languageEnglish
Pages (from-to)45-52
Number of pages8
JournalComputers and Industrial Engineering
Issue number1
Publication statusPublished - 2008 Feb 1


All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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