Exploring Potential Drivers Influencing BIM Adoption in the AEC Industry: A Systematic Approach

In the recent year Architecture, Engineering and Construction (AEC) industry achieved tremendous attention among the stakeholders to optimise the facility management and operations of construction workflows. The application of numerous disruptive technologies is developed and practiced to digitalise the functionalities in the AEC industry. Though incredible development has been accomplished through Building Information Modelling (BIM) to optimise construction facility management and operations, BIM adoption and implementation are still under the satisfactory level in developing countries. It is noticed that BIM is practised by professionals for new and ongoing construction facilities. Existing research has failed to address the research gap associated with the driver identification methodology that has significant impact and influences on enhancing the BIM adoption in the AEC industry. This research proposes a systematic approach to investigate the potential BIM adoption drivers facilitating BIM adoption among stakeholders in the AEC industry. The content of Ninety-eight existing BIM adoption drivers was evaluated and grouped concerning the proposed new label of drivers. Nine BIM adoption drivers were shortlisted and are considered as potential drivers impacting BIM adoption in the AEC industry. The developed BIM adoption training model automatically extracts the three sets of BIM adoption drivers using the free text of 24 source references to assess the potential BIM adoption drivers. The proposed approach is evaluated considering the content analysis and Machine learning-based methods. Though the preliminary results of this study were not validated due to time constraints, however providing a precise guideline for the researchers and professionals in the AEC industry to optimise the functionalities and facility management of ongoing and existing construction facilities. Future research should consider the more robust and authentic BIM adoption driver validation procedures considering BIM-based experts' opinions that lead to optimising BIM adoption acceptance in the AEC industry.