Abstract
Artificial Intelligence (AI) is a transformative technology in various industries, yet the Malaysian construction sector lags in its adoption. Quantity Surveyors (QS) play a crucial role in construction projects, but the practice is prone to human errors due to repetitive work and large numbers of data. Hence, progressive advancements are required for the practice to remain relevant. Implementing AI in QS practice offers numerous benefits, including faster processes, reduced errors, increased efficiency, improved accuracy, and enhanced decision-making. This research aims to improve the implementation of AI-related software into the QS practice. To gather data, a questionnaire survey was conducted among QS firms registered under the Board of Quantity Surveyor Malaysia (BQSM) in Kuala Lumpur. SPSS v.27 will be used to analyse the obtained data to form a discussion. The findings revealed that QS professionals are aware of AI adoption and the majority agreed on its significant impact on practice.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Creators: | Creators Email / ID Num. Roselan, Ahmad Hafiy Ahafiy17@gmail.com Mohd Kamar, Izatul Farrita izatul739@uitm.edu.my |
| Contributors: | Contribution Name Email / ID Num. Chief Editor Mizal Azzmi, Norazura UNSPECIFIED Chief Editor Ahzahar, Nadira UNSPECIFIED Editor Ahmad Zawawi, Zuraihana UNSPECIFIED Editor Jamaludin, Nazhatulzalkis UNSPECIFIED Editor Hashim, Siti Zubaidah UNSPECIFIED |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers |
| Divisions: | Universiti Teknologi MARA, Perak > Seri Iskandar Campus Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying |
| Journal or Publication Title: | E-Proceeding 6th Undergraduate Seminar on Built Environment and Technology (USBET) 2023 |
| Page Range: | pp. 2557-2568 |
| Keywords: | Artificial Intelligence, Quantity Surveyor, QS Roles and Practice, AI Software, AI Implementation. |
| Date: | 2 October 2023 |
| URI: | https://ir.uitm.edu.my/id/eprint/93971 |
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