AI-powered organizational transformation: the role of digital mindset, change management, and cross-cultural leadership in shaping future business strategies

Abstract

This study explores how artificial intelligence reshapes business strategies through synergistic effects between digital thinking, change management, and cross-cultural leadership in organizational transformation processes. Based on multi-source public data from 450 global enterprises across technology, manufacturing, finance, and retail sectors, this research integrates structural equation modeling, in-depth case analysis of 20 extreme cases, and machine learning prediction methods to construct and validate an “AI-Driven Strategic Triple Helix Evolution Framework” through seven interrelated hypotheses. Empirical findings confirm that organizational transformation plays the role of a core mediating hub (R2=0.64), connecting AI capabilities to strategic reconstruction, while the interaction with the three elements of synergy adds an additional 11% of explanatory power to it (ΔR2=0.11, P<0.001). Six strategic paths are differentiated in this research: AI-native (12%), platform transformation (23%), ecosystem orchestration (18%), niche specialization (21%), hybrid innovation (17%), and conservative following (9%), with significant cultural context dependence. Cross-cultural leadership shows the greatest moderating effect on high power distance cultures (β=0.38). The framework goes beyond the traditional technology-organization-environment models in unfolding dynamic co-evolution mechanisms among technological capabilities, cognitive reconstruction, and cultural adaptation. Machine learning models further predict 70% of enterprises participating in ecosystem strategies by 2030, and a digital mindset contributes 34.2% to strategic innovation prediction.