Wireless Internet. 11th EAI International Conference, WiCON 2018, Taipei, Taiwan, October 15-16, 2018, Proceedings

Research Article

Heterogeneous Goods, Strategic Investment, and First Mover Advantages: Real Options Theory and Empirical Study

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  • @INPROCEEDINGS{10.1007/978-3-030-06158-6_28,
        author={Shih Wei and Xiu-Wen Ye and Cheng-yong Liu and Chih-Chun Hou},
        title={Heterogeneous Goods, Strategic Investment, and First Mover Advantages: Real Options Theory and Empirical Study},
        proceedings={Wireless Internet. 11th EAI International Conference, WiCON 2018, Taipei, Taiwan, October 15-16, 2018, Proceedings},
        proceedings_a={WICON},
        year={2019},
        month={1},
        keywords={Real options theory First mover advantage Strategic investment Kalman Filter},
        doi={10.1007/978-3-030-06158-6_28}
    }
    
  • Shih Wei
    Xiu-Wen Ye
    Cheng-yong Liu
    Chih-Chun Hou
    Year: 2019
    Heterogeneous Goods, Strategic Investment, and First Mover Advantages: Real Options Theory and Empirical Study
    WICON
    Springer
    DOI: 10.1007/978-3-030-06158-6_28
Shih Wei1, Xiu-Wen Ye2,*, Cheng-yong Liu3, Chih-Chun Hou2
  • 1: Business School of Yulin Normal University
  • 2: Yulin Normal University
  • 3: Beijing Institute of Technology
*Contact email: 2315405512@qq.com

Abstract

This study uses Real Options Analysis to receive information regarding market uncertainty. Traditional studies assume that the market is perfectly competitive and homogeneous. However, the automobile market is imperfectly competitive and its goods are heterogeneous. Automobile firms may obtain first mover advantages through irreversible investment when the market is imperfectly competitive. First mover advantages can be regarded as barriers to entry because followers cannot earn profits by entering the market and raising market share. Moreover, traditional surveys exploited the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model to estimate the uncertainty (volatility). In this study, the Kalman Filter is adopted for replacing the GARCH model to improve the weaknesses in the traditional estimation method. In this study, the significant level is 0.05, and the adjusted R2 of Toyota and Honda are 0.87 and 0.58.