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The use for the competition theory of the industrial investment decisions—a case study of the Taiwan IC assembly industry

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  • Teng, Hsi-che
  • Huang, Ying-fang

Abstract

This study empirically analyzes model accuracy, and applies grey forecasting to handle non-linear problems, insufficient data resources and forecasting involving small samples, and to construct the co-opetition diffusion model for the Lotka–Volterra (L.V.) system. Furthermore, this study examines historical data comprising revenue trends in the Taiwanese IC assembly industry during the past ten years and selects from a range of forecasting models.

Suggested Citation

  • Teng, Hsi-che & Huang, Ying-fang, 2013. "The use for the competition theory of the industrial investment decisions—a case study of the Taiwan IC assembly industry," International Journal of Production Economics, Elsevier, vol. 141(1), pages 335-338.
    • Handle: RePEc:eee:proeco:v:141:y:2013:i:1:p:335-338
    DOI: 10.1016/j.ijpe.2012.08.015
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    Cited by:

    1. Hoang-Sa Dang & Ying-Fang Huang & Chia-Nan Wang & Thuy-Mai-Trinh Nguyen, 2016. "An Application of the Short-Term Forecasting with Limited Data in the Healthcare Traveling Industry," Sustainability, MDPI, vol. 8(10), pages 1-14, October.

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