Multi-path adjustment in digital transformation and enhancement of enterprise competitiveness

作者：Hanwei Li, Yang Yu, Fang Liu, Bing Zhou · 发表于：Journal of Innovation & Knowledge · 年份：2025 · DOI：10.1016/j.jik.2025.100735 · 被引用次数：10 · 研究领域：Economic Development and Digital Transformation、Digitalization and Economic Development in Agriculture、Economic and Technological Developments in Russia

Against the macro background of the digital economy reshaping global value chains, this study empirically examines Chinese A-share listed companies as research samples and finds that digital transformation can significantly enhance enterprise competitiveness. This conclusion remains robust in robustness checks such as Propensity Score Matching (PSM) and instrumental variable methods. Furthermore, four digital transformation pathways are proposed: cultural leadership (CLP), talent development (TDP), capital-driven transformation (CDP), and process optimization (POP). Innovatively adopting Agent-Based Modeling and Simulation (ABMS), a complex adaptive system comprising 200 agents is constructed. Simulation results indicate that the combination of TDP and CDP performs best among all individual and two-policy combinations. In addition, the combination of CLP and CDP exhibits a high effect on enhancing enterprise competitiveness with relatively low-efficiency loss, making it another preferable policy combination for enterprises. This study provides new theoretical paradigms and practical pathways for enterprises to advance digital transformation, offering significant insights into building competitive advantages in the digital economy era.