Abstract: The rapid evolution of Industry 4.0 technologies has created a complex and interconnected landscape of readiness and maturity assessment models. However, these models often fail to address the full spectrum of organizational readiness across strategic, technological, operational, and cultural dimensions, while also not accounting for emerging paradigms such as Industry 5.0. This paper proposes a conceptual model for an ontology that integrates all relevant domain knowledge into a unified framework, capturing strategic, technological, operational, and cultural readiness and maturity within a single comprehensive model. The ontology provides a systematic approach to understanding the interconnectedness of I4.0 and Industry 5.0 assessment models, facilitating a holistic view of an organization’s preparedness for digital transformation. By bridging the gap between these two stages of industrial evolution, the model enables interoperability across diverse frameworks, promoting more informed decision-making and strategic planning. This research highlights the potential of the proposed ontology to support the ongoing shift from Industry 4.0 to Industry 5.0, offering a valuable tool for researchers, practitioners, and decision-makers navigating the complexities of next-generation industrial ecosystems. The paper further discusses the theoretical underpinnings and practical applications of the model in fostering a smooth transition toward a more human-centric, sustainable, and technologically advanced industrial future.

ABADI Asmae, ABADI Chaimae and ABADI Mohammed, “Bridging the Gap Between Industry 4.0 Readiness and Maturity Assessment Models: An Ontology-Based Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160245

@article{Asmae2025,
title = {Bridging the Gap Between Industry 4.0 Readiness and Maturity Assessment Models: An Ontology-Based Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160245},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160245},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {ABADI Asmae and ABADI Chaimae and ABADI Mohammed}
}