Open AccessA Theoretical Assessment on the Implementation of Artificial Intelligence (AI) for an Improved Learning Curve on Construction in South Africa
Author(s) -
Mokgaetji Gift Phaladi,
Xolile Nokulunga Mashwama,
Wellington Didibhuku Thwala,
Clinton Ohio Aigbavboa
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1218/1/012003
Subject(s) - productivity , nonprobability sampling , engineering , knowledge management , construction industry , engineering management , computer science , artificial intelligence , construction engineering , economic growth , sociology , population , demography , economics
Generally, the construction sector is lacking behind with the usage of technological software. Artificial Intelligence(AI) technology is viewed as a technological tool that can improve the timeous delivery of construction project(s). Therefore, the study is a literature review on the assessment of the implementation of AI technology on South African construction projects. The qualitative approach and purposive sampling technique were adopted in this study. The primary findings emanating from this study reveals that the past other underground empirical studies have identified several important impacts of AI technology and how it can transform the construction industry. Furthermore, the study findings revealed that if AI technology is fully exposed and exploited on construction projects especially to both developed and developing countries it would certainly improve productivity, enhance efficiency, and performance issues. On the other hand, the level of implementation of AI technology in South Africa is still very low. Therefore, the study would contribute to the body of existing knowledge of AI technology on construction projects, especially in South Africa.