TY - GEN
T1 - Identification of the Barriers to Data-Centric Approach in the Construction Industry
AU - Karji, Ali
AU - Messner, John
AU - Leicht, Robert
AU - McComb, Christopher
N1 - Publisher Copyright:
© 2022 Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85128885311&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128885311&partnerID=8YFLogxK
U2 - 10.1061/9780784483978.102
DO - 10.1061/9780784483978.102
M3 - Conference contribution
AN - SCOPUS:85128885311
T3 - Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022
SP - 1002
EP - 1011
BT - Construction Research Congress 2022
A2 - Jazizadeh, Farrokh
A2 - Shealy, Tripp
A2 - Garvin, Michael J.
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022
Y2 - 9 March 2022 through 12 March 2022
ER -