The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman

The construction industry is a knowledge-intensive based because it involves a massive amount of data. With the involvement of enormous data processing, it has led to the development of Artificial Intelligence on knowledge management. Artificial Intelligence technology possessed the ability to repre...

Full description

Bibliographic Details
Main Author: Mohammad Ashril Nadzim, Abu Seman
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/34425/
_version_ 1848808547430694912
author Mohammad Ashril Nadzim, Abu Seman
author_facet Mohammad Ashril Nadzim, Abu Seman
author_sort Mohammad Ashril Nadzim, Abu Seman
building UiTM Institutional Repository
collection Online Access
description The construction industry is a knowledge-intensive based because it involves a massive amount of data. With the involvement of enormous data processing, it has led to the development of Artificial Intelligence on knowledge management. Artificial Intelligence technology possessed the ability to represent knowledge and reason with it thus enable for decision making in a wide variety of situations. However, there are several issues in regards to the adaptation of Artificial Intelligence in the Malaysian construction industry, where there is only limited usage of the technology and the attitudes of the industry itself that remain conservative. The aim of this paper is to investigate the level of adaptation on Artificial Intelligence in the Malaysian construction industry. In line with this aim, three research objectives had been developed; (a) explore the levels of Artificial Intelligence adaptation in the Malaysian construction industry, (b) to identify barriers on adapting Artificial Intelligence in the Malaysian construction industry, and (c) to recommend solutions to enhance usage of Artificial Intelligence in the Malaysian construction industry. Conceptual review is used in this paper by compiling and summarising literature from leading articles, journals, books, and proceedings in regards to the study area. The outcome of this review paper shall present the variables and parameters of the Artificial Intelligence in the Malaysian construction industry. Optimistically with this study, the Malaysian construction industry can adapt more intelligent systems concept into practices in the future.
first_indexed 2025-11-14T23:00:27Z
format Thesis
id uitm-34425
institution Universiti Teknologi MARA
institution_category Local University
language English
last_indexed 2025-11-14T23:00:27Z
publishDate 2018
recordtype eprints
repository_type Digital Repository
spelling uitm-344252020-09-14T08:14:27Z https://ir.uitm.edu.my/id/eprint/34425/ The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman Mohammad Ashril Nadzim, Abu Seman Technological innovations Construction industry Management of the construction site. Superintendence of building construction The construction industry is a knowledge-intensive based because it involves a massive amount of data. With the involvement of enormous data processing, it has led to the development of Artificial Intelligence on knowledge management. Artificial Intelligence technology possessed the ability to represent knowledge and reason with it thus enable for decision making in a wide variety of situations. However, there are several issues in regards to the adaptation of Artificial Intelligence in the Malaysian construction industry, where there is only limited usage of the technology and the attitudes of the industry itself that remain conservative. The aim of this paper is to investigate the level of adaptation on Artificial Intelligence in the Malaysian construction industry. In line with this aim, three research objectives had been developed; (a) explore the levels of Artificial Intelligence adaptation in the Malaysian construction industry, (b) to identify barriers on adapting Artificial Intelligence in the Malaysian construction industry, and (c) to recommend solutions to enhance usage of Artificial Intelligence in the Malaysian construction industry. Conceptual review is used in this paper by compiling and summarising literature from leading articles, journals, books, and proceedings in regards to the study area. The outcome of this review paper shall present the variables and parameters of the Artificial Intelligence in the Malaysian construction industry. Optimistically with this study, the Malaysian construction industry can adapt more intelligent systems concept into practices in the future. 2018 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/34425/1/34425.pdf Mohammad Ashril Nadzim, Abu Seman (2018) The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman. (2018) Degree thesis, thesis, Universiti Teknologi Mara, Perak.
spellingShingle Technological innovations
Construction industry
Management of the construction site. Superintendence of building construction
Mohammad Ashril Nadzim, Abu Seman
The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title_full The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title_fullStr The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title_full_unstemmed The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title_short The Adaptation of artificial intelligence in the malaysian construction industry / Mohammad Ashril Nadzim Abu Seman
title_sort adaptation of artificial intelligence in the malaysian construction industry / mohammad ashril nadzim abu seman
topic Technological innovations
Construction industry
Management of the construction site. Superintendence of building construction
url https://ir.uitm.edu.my/id/eprint/34425/