| 英文摘要 |
This study takes Qing Tong Automotive Company, a member of the All Good imported car maintenance alliance in Taoyuan, as a case study to explore how digital technologies can be applied to automotive service centers from the perspective of a digital transformation consultant. The study adopts a digital transformation consultant model with the aim of improving the consumer experience in automotive service centers. Through digitalization technologies such as online reservation systems, mobile applications, and consumer feedback mechanisms, the study seeks to provide more convenient services and optimize business management. Additionally, this research delves into the application of data analysis in the operation and management of automotive service centers. This allows businesses to better understand consumer needs, optimize business strategies, and provide personalized services. Furthermore, the study focuses on evaluating the marketing effectiveness of these digital transformation measures through data analysis and the application of artificial intelligence technology. This not only enhances service quality but also enables the prediction of maintenance needs and the provision of superior customer support. The managerial implications of this study provide practical innovative methods and strategies for the digital transformation of automotive service centers. This involves selecting suitable digital transformation teaching theories, establishing business models that cater to the needs of the case company, evaluating the maturity of transformation readiness, and establishing a framework for implementing digital transformation to support the digital transformation of enterprises. The research contribution lies in exploring innovative methods and strategies for the digital transformation of automotive service centers and providing guidelines for consultants to introduce the digital transformation consultant model to achieve the digital transformation goals of enterprises. |