Artificial Intelligence and the UK Construction Industry - Empirical Study

被引:4
|
作者
Jallow, Haddy [1 ]
Renukappa, Suresh [2 ]
Suresh, Subashini [2 ]
Rahimian, Farzad [3 ]
机构
[1] Univ Wolverhampton, Costain plc, Wolverhampton, England
[2] Univ Wolverhampton, Wolverhampton, England
[3] Teesside Univ, Middlesbrough, England
关键词
Artificial Intelligence (AI); Construction Industry; Case Study; Industry; 4.0; Business Model; SAFETY PERFORMANCE;
D O I
10.1080/10429247.2022.2147381
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
There is a lack of research on the use of Artificial Intelligence (AI) within the construction sector in the UK. Therefore, this research seeks to explore AI uses and its benefits on the UK construction industry. Given the new and unexplored nature of the research problem, a qualitative case study research methodology was adopted. Construction projects, which have adopted some of the AI forms all around the UK, are investigated extracting the use of the technology and how processes within the construction industry can benefit from the adoption of AI. Developing an AI system can benefit the construction industry in terms of the planning process, organizations have implemented AI systems to accomplish tasks such as tunnel inspections, safety hazard identifying, and risk management. These implementations have proved to be successful and efficient in improving production within the organizations. This paper highlights the key uses and benefits of AI-based systems within the construction industry. The business model was developed based on current work practices with AI and without AI. It is concluded that the industry as a whole should enhance coordination and cooperation across the value chain and agree on common goals and standards for the adoption of AI.
引用
收藏
页码:420 / 433
页数:14
相关论文
共 50 条
  • [21] ARTIFICIAL INTELLIGENCE IN CLOUD COMPUTING TECHNOLOGY IN THE CONSTRUCTION INDUSTRY: A BIBLIOMETRIC AND SYSTEMATIC REVIEW
    Wang, Jian
    Antwi-Afari, Maxwell Fordjour
    Tezel, Algan
    Antwi-Afari, Prince
    Kasim, Tala
    JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION, 2024, 29 : 480 - 502
  • [22] Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
    Ahmad, Khlood
    Abdelrazek, Mohamed
    Arora, Chetan
    Grundy, John
    Bano, Muneera
    PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING, ENASE 2023, 2023, : 126 - 137
  • [23] Understanding the skills gap between higher education and industry in the UK in artificial intelligence sector
    Jaiswal, Khushi
    Kuzminykh, Ievgeniia
    Modgil, Sanjay
    INDUSTRY AND HIGHER EDUCATION, 2025, 39 (02) : 234 - 246
  • [24] Understanding the Adoption of Artificial Intelligence in Journalism: An Empirical Study in Vietnam
    Trang, Ta Thi Nguyet
    Thang, Pham Chien
    Hai, Le Dinh
    Phuong, Vi Thi
    Quy, Tran Quang
    SAGE OPEN, 2024, 14 (02):
  • [25] The Construction of Artificial Intelligence MOOC
    Liu, Shang
    2ND INTERNATIONAL CONFERENCE ON EDUCATION, E-LEARNING AND MANAGEMENT TECHNOLOGY (EEMT 2017), 2017, : 375 - 379
  • [26] Construction UK: Introduction to the Industry
    Sexton, Professor Martin
    CONSTRUCTION MANAGEMENT AND ECONOMICS, 2009, 27 (07) : 707 - 707
  • [27] Women in the UK construction industry
    Sommerville, James
    Kennedy, Peter
    Orr, Louise
    Construction Management and Economics, 1993, 11 (04) : 285 - 291
  • [28] Comparative study of delay factors in Libyan and the UK construction industry
    Shebob, A.
    Dawood, N.
    Shah, R.
    Xu, Q.
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2012, 19 (06) : 688 - +
  • [29] ARTIFICIAL-INTELLIGENCE - AN EMPIRICAL SCIENCE
    SIMON, HA
    ARTIFICIAL INTELLIGENCE, 1995, 77 (01) : 95 - 127
  • [30] The Potential of Using Artificial Intelligence (AI) to Analyse the Impact of Construction Industry on the Carbon Footprint
    Mesaros, Peter
    Smetankova, Jana
    Behunova, Annamaria
    Krajnikova, Katarina
    MOBILE NETWORKS & APPLICATIONS, 2024, 29 (03): : 1038 - 1052