Digital Transformation of the Automotive Industry Based on Big Data Analysis from a User Perspective

Ting Luo and Xiaohui Wang

Chapter 63 in Internet Finance and Digital Economy:Advances in Digital Economy and Data Analysis Technology, 2023, pp 847-858 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In order to realize the reconstruction and innovation of business and management in the auto industry driven by big data, this paper uses Internet thinking and user thinking to create the ultimate user experience for users. As the data on the digital transformation of the auto industry and the product concept of auto users are collected, the transformation status of the auto industry is analyzed with a combination of the big data platform. We use big data to set up a complete set of auto industry inner logical architecture digital transformation, the operation management digitalization, digital marketing, and product innovation digital three aspects to analyze the industry transition way based on the user perspective. The purposes are to help the auto industry a more agile adjustment, to achieve improve the enterprise benefit internally, to create new user value externally, to increase organizational resilience to adapt to external changes, and to provide recommendations for the digital transformation of the automotive industry.

Keywords: Internet Economy; Online Finance; Financial Engineering; Big Data; Blockchain; Supply Chain; E-commerce (search for similar items in EconPapers)
JEL-codes: G2 O33 (search for similar items in EconPapers)
Date: 2023
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