Identification of the Barriers to Data-Centric Approach in the Construction Industry

With the advancement of technology, many industries are improving their workflows and productivity by embracing digital transformation, and specifically data-centric approaches. Construction, however, is often slower to adopt new technology and innovations. A data-centric approach can enrich project delivery value and streamline processes through applications of data science and emerging innovations, such as artificial intelligence. This study aims to identify the barriers to adopting data-centric approaches in the construction industry. Initially, a literature review on Building Information Modeling (BIM) implementation identified 35 barriers. Next, the barriers were organized and refined to be more specific to a data-centric approach with the help of expert focus group meetings. Finally, the barriers were categorized based on experts’ opinions into five categories: Process, Information, Financial, People, and Risk. The result of this study can help the construction industry move toward a more data-centric approach through the evaluation of approaches to overcome the identified barriers.

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