Abstract:

Based on the technology acceptance model, this study explores the driving factors and mechanisms of digital leadership transformation in the era of artificial intelligence through theoretical analysis and empirical research. Research has found that leaders exhibit significant hierarchical differences in their acceptance of technology. Senior managers are more concerned with the strategic value of technology, mid-level managers focus on the feasibility of technology implementation, and grassroots managers rely more on organizational support. Through structural equation modeling verification, it was found that technological infrastructure and industry competitive pressure are the core driving factors, while the impact of changes in customer demand did not reach a significant level. Research has shown that enhancing perceived usefulness and perceived ease of use can effectively improve the efficiency of digital leadership transformation, providing theoretical support and implementation framework for the dynamic evolution of digital leadership.

Key words: digital transformation, technology acceptance model, artificial intelligence, leadership stratification