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Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei

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 pr...

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Main Author: You , Jin Wei
Format: Thesis
Published: 2022
Subjects:
HD28 Management. Industrial Management
Online Access:http://studentsrepo.um.edu.my/14919/2/You_Jin_Wei.pdf
http://studentsrepo.um.edu.my/14919/1/You_Jin_Wei.pdf
http://studentsrepo.um.edu.my/14919/
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spelling my.um.stud.149192025-01-12T18:13:29Z Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei You , Jin Wei HD28 Management. Industrial Management 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. 2022-07 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/14919/2/You_Jin_Wei.pdf application/pdf http://studentsrepo.um.edu.my/14919/1/You_Jin_Wei.pdf 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. http://studentsrepo.um.edu.my/14919/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
You , Jin Wei
Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
description 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.
format Thesis
author You , Jin Wei
author_facet You , Jin Wei
author_sort You , Jin Wei
title Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
title_short Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
title_full Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
title_fullStr Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
title_full_unstemmed Organizational readiness for Artificial Intelligence (AI) adoption in project risk management of Malaysian construction industry / You Jin Wei
title_sort organizational readiness for artificial intelligence (ai) adoption in project risk management of malaysian construction industry / you jin wei
publishDate 2022
url http://studentsrepo.um.edu.my/14919/2/You_Jin_Wei.pdf
http://studentsrepo.um.edu.my/14919/1/You_Jin_Wei.pdf
http://studentsrepo.um.edu.my/14919/
_version_ 1821106027935825920
score 13.232405

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