“Architecting Intelligent Enterprises: The Strategic Convergence of Artificial Intelligence and Information Technology in Elevating Organizational Performance, Financial Resilience, and Commercial Competitiveness”

Abstract

This study empirically examines whether strategic convergence of Artificial Intelligence (AI) and Information Technology (IT) constitutes a higher-order dynamic capability that enhances organizational performance, financial resilience, and commercial competitiveness. Drawing on Resource-Based View and Dynamic Capabilities Theory, a mediated-moderation model was tested using structural equation modelling on survey data from 328 senior managers across digitally intensive sectors. Findings reveal that AI–IT convergence exerts significant direct effects on organizational performance (β = 0.48, p < 0.001), financial resilience (β = 0.41, p < 0.001), and competitiveness (β = 0.45, p < 0.001), explaining 52% of variance in performance outcomes. Organizational agility (β = 0.21, 95% CI [0.14–0.29]) and decision-making quality (β = 0.18, 95% CI [0.11–0.25]) function as significant partial mediators. Environmental dynamism and transformational leadership positively moderate these mediated pathways. The integrated model demonstrates strong explanatory power (R² = 0.56). This research advances intelligent enterprise theory by positioning AI–IT fusion as a strategic imperative rather than technological augmentation, offering evidence-based guidance for digital investment prioritization and governance architecture design.