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Intelligent connected vehicles: the industrial practices and impacts on automotive value-chains in China

Author

Listed:
  • Xu Kuang
  • Fuquan Zhao
  • Han Hao
  • Zongwei Liu

Abstract

The intelligent connected vehicle (ICV) concept represents the commanding heights of prospective automotive product shape and technology, which will pose significant impacts on the value-chain of future automotive industry, especially in China. The development of ICV will also provide the Chinese automotive industry with a strategic opportunity for transformation and upgrading. Currently, the government and enterprises have increased investment in the research and application of ICV. A detailed study in the development of ICV in the PRC can have theoretical implications for exploiting the future automotive value-chain. From the perspective of value-chains, this article analyses ICV’s significant impacts on the new industrial value-chain and its essential features, according to the latest practical cases in China. On this basis, suggestions of upgrading paths are proposed for different categories of Chinese enterprises from the dimensions of process, product and functional upgrading.

Suggested Citation

  • Xu Kuang & Fuquan Zhao & Han Hao & Zongwei Liu, 2018. "Intelligent connected vehicles: the industrial practices and impacts on automotive value-chains in China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(1), pages 1-21, January.
    • Handle: RePEc:taf:apbizr:v:24:y:2018:i:1:p:1-21
    DOI: 10.1080/13602381.2017.1340178
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    Cited by:

    1. Xu Kuang & Fuquan Zhao & Han Hao & Zongwei Liu, 2019. "Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis," Sustainability, MDPI, vol. 11(12), pages 1-28, June.
    2. Asad Ullah & Wang Aimin & Mansoora Ahmed, 2018. "Smart Automation, Customer Experience and Customer Engagement in Electric Vehicles," Sustainability, MDPI, vol. 10(5), pages 1-11, April.
    3. Qiyi He & Xiaolin Meng & Rong Qu & Ruijie Xi, 2020. "Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles," Mathematics, MDPI, vol. 8(8), pages 1-20, August.
    4. Bingqiang Li & Lei Huang, 2019. "The Effect of Incremental Innovation and Disruptive Innovation on the Sustainable Development of Manufacturing in China," SAGE Open, , vol. 9(1), pages 21582440198, February.

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