You , Jin Wei (2022) Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei. Masters thesis, Universiti Malaya.
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Abstract
In this era of technology advancement, IT technologies have been developed with a fast-moving pace and there is no exceptional case in Malaysian construction industry which associates with poor project risk management. Digital transformation has been a topic to be discussed among the construction practitioners to incorporate digital tools for organization project risk management and ultimately to move forward IR4.0. The arising Artificial Intelligence (AI) technologies has been prospected as the solution to answer the demand from the industry. However, numerous research found that level of awareness of Malaysian construction industry is at a low level and readiness of organization towards AI adoption remains unknown. This research study is aimed to investigate on the status of organizational readiness towards AI adoption in project risk management of Malaysian construction industry. Quantitative research methodology has been adopted to accomplish the intention and a questionnaire survey was conducted. Total of two hundred and fourteen (214) CIDB registered G7 construction organizations have participated in the questionnaire survey. A theoretical framework with the inclusive of fifteen (15) key factors that influence the organizational readiness has been developed and validated to be applicable to the study. The study has discovered that Malaysian construction industry is at the level of “quite ready” for AI adoption in project risk management with CRI value of 62%. Output of this study is likely to be referred for providing insightful information for Malaysian construction industry to move on AI adoption.
Item Type: | Thesis (Masters) |
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Additional Information: | Dissertation (M.A.) – Faculty of Built Environment, Universiti Malaya, 2022. |
Uncontrolled Keywords: | Artificial intelligence; Organizational readiness; Project risk management; Malaysian construction industry |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
Divisions: | Faculty of Science |
Depositing User: | Mr Mohd Safri Tahir |
Date Deposited: | 13 Jan 2025 02:13 |
Last Modified: | 13 Jan 2025 02:13 |
URI: | http://studentsrepo.um.edu.my/id/eprint/14919 |
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