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

So Young Sohn; Yoonseong Kim; Ho Young Hwang

doi:10.1016/j.cie.2007.06.033

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

So Young Sohn, Yoonseong Kim, Ho Young Hwang

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	45-52
Number of pages	8
Journal	Computers and Industrial Engineering
Volume	54
Issue number	1
DOIs	https://doi.org/10.1016/j.cie.2007.06.033
Publication status	Published - 2008 Feb

Bibliographical note

Funding Information:
This work was supported by the Electronics and Telecommunications Research Institue (ETRI). Je Hyun Wu participated in computing as a research assistant.

All Science Journal Classification (ASJC) codes

Computer Science(all)
Engineering(all)

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10.1016/j.cie.2007.06.033

Cite this

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abstract = "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.",

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AU - Kim, Yoonseong

AU - Hwang, Ho Young

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AB - 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.

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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