Jadidoleslami, S. and Saghatforoush, E. (2026) Interdependencies unveiled: MICMAC analysis of BIM-AI synergies in construction. Journal of Construction Engineering and Management, 152(7): 04026086, ISSN 0733-9364
Abstract
The integration of building information modeling (BIM) and artificial intelligence (AI) holds transformative potential for the architecture, engineering, and construction (AEC) industry, enhancing project efficiency through innovative synergy factors. Despite growing recognition of individual synergy factors of BIM and AI in the AEC industry, no previous study has systematically examined the interdependencies and mutual reinforcement mechanisms among the full spectrum of BIM-AI synergy factors using a structural modeling approach such as MICMAC (a structural modeling technique that classifies variables by how much they drive versus depend on others in a system, helping identify true leverage points). Addressing this critical gap, this study examines systemic interactions among 15 primary advantage categories. Using the cross-impact matrix analysis (MICMAC) method, it analyzes data from 65 research papers and interviews with 16 digital technology experts in construction. Findings highlight Knowledge and Innovation Advancement and Sustainable Performance Optimization as pivotal variables driving improved outcomes, although the semi-unstable system state demands strategic management. The research reveals high-influence variables shaping efficiency and innovation, supported by impact chain analysis, offering a strategic framework for targeted investments. Despite limitations from limited large-scale project data, the study bridges gaps in understanding BIM-AI synergies, providing actionable insights for AEC stakeholders to optimize project delivery and sustainability. It recommends future research into detailed variable interactions and implementation challenges to enhance systemic stability. This pioneering framework guides professionals in leveraging BIM-AI integration to meet escalating project demands, fostering innovation and sustainable practices in the AEC sector.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | architecture, engineering, and construction; industry synergies; artificial intelligence; building information modeling; cross-impact matrix analysis |
| Index terms: | sustainable practice, matrix analysis, efficiency, building information modelling, project delivery, artificial intelligence, synergy, interaction, implementation, reinforcement, structural modelling, stability, project data, interview, research paper, digital technology, integration, strategic management |
| Subjects: | analytical methods, contractual arrangements, research dissemination and communication, behavioral psychology, structural engineering, project delivery, data science, artificial intelligence, building materials, computing systems, data collection methods, information systems, sustainable practices, organizational analysis, partnership management, performance management, management |
| Topics: | Organizational Design, Digital Applications, Stakeholder Management, Construction Materials, Information Management, Research Practice, Business Strategy, Quality Management, Sustainability, Procurement, Engineering Principles |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here