Abstract
Artificial Intelligence (AI) technology has the power to unlock the challenges faced in construction projects such as poor efficiency issues, design errors, low productivity, and accidents on site. Therefore, the study is a literature review on the evaluation of the implementation of AI technology on South African construction projects. The method adopted in this study is based on the cross analyses of inferences from structured interviews with reference to existing theoretical literature, published and unpublished research. The primary findings emanating from this study reveals that past other underground empirical studies have identified several important impacts of AI technology and how it can revolutionize the construction industry. This includes timely delivery of the projects, improved profitability, and reduced construction errors. Moreover, the study revealed that if AI technology is fully exposed and exploited on construction projects especially to both developed and developing countries it would certainly eliminate design errors, increase productivity, improve efficiency, and performance issues. However, the adoption of AI technology in South Africa is still at an early development stage. The study would contribute to the body of existing knowledge of AI technology. Again, it will help construction industry professionals to advance their workplaces and organizations.
Original language | English |
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Pages (from-to) | CON-30-1-CON-30-6 |
Journal | Proceedings of International Structural Engineering and Construction |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2021 |
Event | 11th International Structural Engineering and Construction Conference, ISEC-11 2021 - Virtual, Online Duration: 26 Jul 2021 → 31 Jul 2021 |
Keywords
- Automation
- Construction industry
- Digitalization
- Fourth industrial revolution
- Robotics
- Smart technology
ASJC Scopus subject areas
- Building and Construction
- Architecture
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality