Abstracts – Browse Results
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Adah, C A and Ekweani, C P (2025) Career Choice of Graduating Students in Built Environment Courses in Nigeria: A Mixed-Method Study. International Journal of Construction Education and Research, 21(01), 117–38.
Aliu, J, Aghimien, D, Aigbavboa, C, Oke, A E and Ebekozien, A (2025) An Employability Skills Model for Built Environment Graduates: A Partial Least Squares Structural Equation Modeling Analysis. International Journal of Construction Education and Research, 21(01), 74–93.
Bekele, A A and Mahesh, G (2025) Impact of Contractor Development Programs on the Competency of Small and Medium Contractors in Ethiopia. International Journal of Construction Education and Research, 21(01), 94–116.
Dodanwala, T C and Santoso, D S (2025) Critical Factors Influencing the Bid/no-Bid Decisions of Small and Medium-Sized Contractors in Sri Lanka. International Journal of Construction Education and Research, 21(01), 24–49.
Martin, H, Garner, M, Manewa, A and Chadee, A (2025) Validating the Relative Importance of Technology Diffusion Barriers– Exploring Modular Construction Design-Build Practices in the UK. International Journal of Construction Education and Research, 21(01), 3–23.
Omole, O and Ghosh, S (2025) Application of Data Science in the US Commercial Construction Industry: Current Trends and Future Opportunities. International Journal of Construction Education and Research, 21(01), 50–73.
- Type: Journal Article
- Keywords: Data science; commercial construction; data management; data analytics; thematic analysis;
- ISBN/ISSN: 1557-8771
- URL: https://doi.org/10.1080/15578771.2024.2333402
- Abstract:
The technologies and innovations accompanying the Fourth Industrial Revolution are reshaping industries worldwide; the Architecture, Engineering, and Construction (AEC) industry is no different. This study specifically investigates the application of data science in the US commercial construction industry, which has been relatively limited and understudied. This study assessed the current state of data science utilization, identified potential benefits and challenges, and explored future directions. Semi-structured interviews were carried out with representatives from eight general contracting firms listed in the ENR top 100 contractors. Thematic analysis of the interview transcripts revealed several prominent themes. The findings indicate that while technical support for data storage and management exists, challenges persist in terms of data consistency and leveraging data for advanced analyses. Encouragingly, top management is recognizing the importance of data science in their daily operations, leading to a growing trend of hiring individuals with specialized data skills in construction companies. The establishment of dedicated data science departments and fostering, mitigating the current challenges of data consistency and interoperability with a mind-set of continuous improvement are viewed as strategic approaches to harness data for a competitive edge in the commercial construction industry.