Affiliations:
Management Information Systems, University of Jeddah, Jeddah, Saudi Arabia
The rapid convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain is transforming enterprise architecture (EA) and changing how organizations create value. However, there is limited empirical research explaining how technological readiness and managerial conditions help firms effectively integrate these technologies within EA frameworks. Based on the Technology–Organization–Environment (TOE) framework, the Resource-Based View (RBV), and Dynamic Capabilities Theory, this study develops and tests a model that links technological readiness, integration capability, top management support, and value creation. A quantitative cross-sectional survey was conducted, and data were collected from IT and enterprise architecture professionals across different industries. Structural equation modeling (SEM) was used to test the proposed relationships. The results show that technological readiness significantly improves integration capability, which then increases organizational value through greater efficiency, innovation, and agility. In addition, top management support moderates the relationship between technological readiness and integration capability, strengthening the positive effect of technological readiness. This study contributes to the literature on digital transformation and enterprise architecture by providing a simple and empirically validated framework for integrating emerging technologies into enterprise systems. The findings also offer practical guidance for managers to prioritize technological readiness and leadership support in order to maximize value from new technologies.
Artificial intelligence integration, Enterprise architecture, Technological readiness, Integration capability, Organizational value creation
https://doi.org/10.21833/ijaas.2026.03.009
AlGhamdi, S. A. (2026). Integrating AI, IoT, and blockchain into enterprise architecture: A model of readiness, integration capability, and value creation. International Journal of Advanced and Applied Sciences, 13(3), 86–94. https://doi.org/10.21833/ijaas.2026.03.009