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A diffusion model for products with indirect network externalities

Author

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  • Sung Yong Chun

    (Kookmin Bank, Seoul, Korea)

  • Minhi Hahn

    (Graduate School of Management, Korea Advanced Institute of Science and Technology, Seoul, Korea)

Abstract

This paper develops a new diffusion model that incorporates the indirect network externality. The market with indirect network externalities is characterized by two-way interactive effects between hardware and software products on their demands. Our model incorporates two-way interactions in forecasting the diffusion of hardware products based on a simple but realistic assumption. The new model is parsimonious, easy to estimate, and does not require more data points than the Bass diffusion model. The new diffusion model was applied to forecast sales of DVD players in the United States and in South Korea, and to the sales of Digital TV sets in Australia. When compared to the Bass and NSRL diffusion models, the new model showed better performance in forecasting long-term sales. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Sung Yong Chun & Minhi Hahn, 2008. "A diffusion model for products with indirect network externalities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 357-370.
  • Handle: RePEc:jof:jforec:v:27:y:2008:i:4:p:357-370
    DOI: 10.1002/for.1058
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    File URL: http://hdl.handle.net/10.1002/for.1058
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    References listed on IDEAS

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    1. Joseph Farrell & Garth Saloner, 1985. "Standardization, Compatibility, and Innovation," RAND Journal of Economics, The RAND Corporation, vol. 16(1), pages 70-83, Spring.
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    Cited by:

    1. Yoon Seong Kim & Eun Jin Han & So Young Sohn, 2017. "Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-16, January.
    2. repec:eee:jouret:v:89:y:2013:i:3:p:281-300 is not listed on IDEAS
    3. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.

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