Ontology-Based Integration of Enterprise Architecture and Project Management: A Systems Thinking Approach for Project-Based Organizations in the Architecture, Engineering, and Construction Sector
Construction projects are becoming increasingly complex due to their dynamic nature, the integration of multiple disciplines, and the need for strategic alignment between organizational processes and project management. However, traditional project management approaches often fail to address this co...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/13/6/477 |
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| Summary: | Construction projects are becoming increasingly complex due to their dynamic nature, the integration of multiple disciplines, and the need for strategic alignment between organizational processes and project management. However, traditional project management approaches often fail to address this complexity effectively. This study presents the application of <i>IModel</i>, a web-based semantic model grounded in systems thinking, designed to integrate enterprise architecture and project management. Through a case study conducted in a multinational AEC company, <i>IModel</i> was evaluated for its ability to enhance system interoperability, optimize processes, and support strategic decision-making. The methodology combined web semantic modeling with expert interviews and organizational data analysis. Findings indicate that <i>IModel</i> provides a comprehensive framework for knowledge management, reduces uncertainty, and improves decision-making in dynamic project environments. However, challenges related to model adoption, including the need for training in systems thinking and ontological modeling, were identified. This study contributes to the literature on innovation in construction project management, highlighting the potential of systems thinking and semantic tools to address complex problems in dynamic and evolving environments. |
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| ISSN: | 2079-8954 |