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Research on the Digital Transformation Path of the Automotive Industry Driven by Big Data

In: Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)

Author

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  • Danyu Zhu

    (Wuhan University of Technology)

Abstract

The development of technology and the increase in demand are driving the digital transformation of China's automotive industry. Digital technology is fully integrated into the entire lifecycle operation system of automotive companies. Therefore, the Chinese automotive industry urgently needs to seek high-quality and efficient digital transformation paths. This article is based on the grounded theory to sort out and analyze the development paths of three typical new energy vehicle companies in China at different stages, and concludes that: firstly, big data drives the digital transformation of the automotive industry mainly through key link transformation and basic element empowerment to promote the optimization and restructuring of the automotive industry chain; Secondly, the transformation of key links is the core of promoting the optimization and reconstruction of the automotive industry chain, and the empowerment of basic elements provides basic resources for promoting the automotive industry chain; Thirdly, innovation in the value proposition of on chain enterprises includes strategic collaboration and resource sharing, both of which play an intermediary role in promoting the optimization and reconstruction of the automotive industry chain through big data technology, improving the efficiency of enterprise transformation.

Suggested Citation

  • Danyu Zhu, 2024. "Research on the Digital Transformation Path of the Automotive Industry Driven by Big Data," Advances in Economics, Business and Management Research, in: Radulescu Magdalena & Bootheina Majoul & Satya Narayan Singh & Abdul Rauf (ed.), Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), pages 726-732, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-459-4_82
    DOI: 10.2991/978-94-6463-459-4_82
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