Model of Digital Transformation Effecting to Enterprises Performance of Automobile Manufacturing Enterprises in Shandong Province, The People’s Republic of China

The purpose of this study is: 1) To study the factors affecting the performance of automobile manufacturing enterprises in Shandong Province. People's Republic of China. 2) To develop model of digital transformance to enterprises performance of automobile manufacturing enterprises in Shandong Province. People's Republic of China. This study adopts a mixed research method combining quantitative and qualitative research. The quantitative research selects 400 automobile manufacturing enterprises from 56900 automobile manufacturing enterprises in Shandong Province as samples to conduct questionnaire survey. The qualitative research method was in-depth interview. We mainly interviewed 15 employees, including 4 senior managers employed by the enterprise, 5 managers in the human resource management department, and 6 senior employees who have worked in the operation management department for more than 10 years. The main find in GA are as follows :(1) As for the influencing factors of digital transformation and the performance of automobile manufacturing enterprises, the research finds that digital operation and management costs can be studied as intermediate variables. Enterprises can improve their performance by introducing advanced technologies, enhancing innovation capabilities, promoting differentiation of products and services, developing intelligent enterprises, establishing sound intelligent management and marketing mechanisms, strengthening the construction of talent teams, improving the comprehensive quality of employees, and increasing financial support. (2) In the original conceptual framework, we have a total of five assumptions. With the help of the SEM model, the final conclusion is that all hypotheses are valid, indicating that there is a positive correlation between different aspects of digital transformation (such as digital strategy, production, marketing, etc.) and key performance indicators, indicating that diversified digital methods contribute to positive results of enterprise performance. (3) Re GArding the performance of automobile manufacturing enterprises, enterprises can improve their performance from three aspects: digital transformation, digital operation, and management cost. In addition, they can explore the use of cutting-edge technologies such as artificial intelligence, big data, cloud computing, and the Internet of Thin GA as a means to upgrade products, services, processes, and business models. Government departments formulate policy support to promote the digital transformation of automobile manufacturing enterprises, create an environment conducive to innovation and informatization, and give full play to the leading role of the government! The research data are as follows: Chi-square=103.232 df.=72 CMIN/df.=2.81 n=214 CFI=0.990 NFI=0.931 GFI=0.932 IFI=0.988 RMSEA=0.049 SRMR=0.043.