Innovation of Talent Cultivation Mode for Economics and Management Majors under the Background of Digital Economy

In the context of digital economy, the traditional talent training model for business management is facing many challenges. Especially in response to the rapidly developing technological environment and increasingly complex market demands, traditional methods often have problems such as lagging course content, insufficient skill training, and disconnection between theory and practice. To this end, this paper proposes an innovative talent training model for business management based on digital transformation, aiming to improve students' comprehensive abilities and meet the demand for compound talents in the digital economy era by optimizing the curriculum system, strengthening interdisciplinary integration and innovating teaching methods. This paper first analyzes the specific problems existing in the training of talents in the current business and management majors, and proposes to solve them by introducing courses related to digital technologies such as artificial intelligence and big data, strengthening the project-driven practical teaching model, and deepening the integration of industry and education. In addition, this paper also ensures the efficiency and timeliness of talent training by refining the curriculum, clarifying various training objectives and detailed control, such as the frequency of course content updates, the arrangement of practical opportunities, and the degree of interdisciplinary knowledge integration. The results show that the experimental group scored 85.2 in terms of professional knowledge, which is significantly higher than the control group's 76.1, indicating that the optimized curriculum system has effectively improved students' professional knowledge. In terms of technical application ability, the experimental group scores 83.6, compared with 71.5 in the control group. Through these innovative measures, students' abilities in innovative thinking, data analysis, and interdisciplinary collaboration have been significantly improved, especially in digital application ability and employment adaptability, showing strong competitiveness, thus achieving precision and high-quality transformation of talent training.