Artificial Intelligence (AI) has a great impact on increasing productivity and economic growth in many sectors. However, in the construction industry, AI is still limited to research and few pilot projects. This study aims to depict the current rate of AI adoption in the industry and understand the obstacles that are hindering the required changes in the companies’ business models. The data are collected through a tailored questionnaire sent to experts and practitioners in the field. The results show that labour-skilled shortage, data quality, cost-benefit and lack of case studies and standards have been identified as major issues. The findings help to understand the needs of construction practitioners and propose possible solutions.

Artificial intelligence feasibility in construction industry

Rampini, Luca;Khodabakhshian, Ania;Re Cecconi, Fulvio
2022-01-01

Abstract

Artificial Intelligence (AI) has a great impact on increasing productivity and economic growth in many sectors. However, in the construction industry, AI is still limited to research and few pilot projects. This study aims to depict the current rate of AI adoption in the industry and understand the obstacles that are hindering the required changes in the companies’ business models. The data are collected through a tailored questionnaire sent to experts and practitioners in the field. The results show that labour-skilled shortage, data quality, cost-benefit and lack of case studies and standards have been identified as major issues. The findings help to understand the needs of construction practitioners and propose possible solutions.
2022
European Conference on Computing in Construction, EC3 2022
978-8-875902-26-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1219367
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