Research on Individual Behavior Strategies in the Transformation of Digital Intelligence
In the context of the current rapid development of the digital economy,digital intelligence transformation has become a new focus of competition in various industries and enterprises,which opens up new opportunities for all parties and at the same time brings a series of challenges and problems.Given this situation,this study focuses on exploring the current situation of individual behavioral strategy selection and implementation paths in the context of digital intelligence transformation.By integrating related theories,the research framework of this paper is constructed from the perspective of competence to elucidate the mechanism of the role of the digital environment in individual behavioral decision making.In terms of path analysis,three key paths are selected at the individual level,namely cognitive information processing,autonomous decision goal adaptation,and innovation incentive support.This study provides valuable theoretical insights for individuals in contemporary digital environment to formulate innovation strategies and choose appropriate implementation paths,which is of great academic value and practical significance.