Title: A Hybrid Model of Artificial Intelligence Capability in Business Applications
Authors: Abubakar Balarabe, Naseer Sanni Ajoge (PhD), Aminu Salihu Zakari
Volume: 9
Issue: 6
Pages: 96-106
Publication Date: 2025/06/28
Abstract:
This study presents the design and mathematical evaluation of an enhanced hybrid model of Artificial Intelligence (AI) capability, aimed at improving strategic decision-making and organizational success within business enterprises. Building upon the Resource-Based Theory (RBT) and integrating existing AI capability models by Mikalef & Gupta (2021) and Li et al. (2022), the research identifies and incorporates thirteen additional AI-related factors-such as data, technology, human resources, and organizational change capacity-resulting in a comprehensive model with eighteen critical variables. The model categorizes these factors into external, instantaneous, and temporal components to capture both immediate and time-bound organizational dynamics. Formalized using first-order differential equations and verified through equilibrium analysis, the model demonstrates stability and alignment with strategic goals. The findings underscore the enhanced model's potential to support creativity, knowledge sharing, and sustained performance in AI-driven organizations