Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan
The construction industry faces increasing pressure to improve productivity, quality, and efficiency while reducing costs and minimising risks. This study investigates the barriers to adopting advanced technologies in construction projects and proposes coping strategies to overcome these hurdles. Th...
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my.uitm.ir.1086612024-12-30T03:24:27Z https://ir.uitm.edu.my/id/eprint/108661/ Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan Roslan, Rosaida Fathin Technological innovations The construction industry faces increasing pressure to improve productivity, quality, and efficiency while reducing costs and minimising risks. This study investigates the barriers to adopting advanced technologies in construction projects and proposes coping strategies to overcome these hurdles. Through a questionnaire survey of 57 respondents, this study identifies financial and economic barriers as the most significant obstacles, followed by technical and skill-related barriers and organisational and cultural barriers. The benefits of technology adoption include enhanced safety and risk management, cost reduction, improved profitability, and increased productivity. To mitigate these barriers, this study recommends implementing risk-sharing partnerships, government incentives, phased implementation, training and upskilling programs, pilot projects and demonstrations, and knowledge-sharing platforms. By integrating these coping strategies with advanced technologies such as BIM, AI, machine learning, IoT, drones/UAVs, and AR/VR, construction stakeholders can improve construction productivity, minimise delays and rework, and stay competitive. 2024-07 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/108661/1/108661.pdf Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan. (2024) Masters thesis, thesis, Universiti Teknologi MARA, Pulau Pinang. |
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The construction industry faces increasing pressure to improve productivity, quality, and efficiency while reducing costs and minimising risks. This study investigates the barriers to adopting advanced technologies in construction projects and proposes coping strategies to overcome these hurdles. Through a questionnaire survey of 57 respondents, this study identifies financial and economic barriers as the most significant obstacles, followed by technical and skill-related barriers and organisational and cultural barriers. The benefits of technology adoption include enhanced safety and risk management, cost reduction, improved profitability, and increased productivity. To mitigate these barriers, this study recommends implementing risk-sharing partnerships, government incentives, phased implementation, training and upskilling programs, pilot projects and demonstrations, and knowledge-sharing platforms. By integrating these coping strategies with advanced technologies such as BIM, AI, machine learning, IoT, drones/UAVs, and AR/VR, construction stakeholders can improve construction productivity, minimise delays and rework, and stay competitive. |
format |
Thesis |
author |
Roslan, Rosaida Fathin |
author_facet |
Roslan, Rosaida Fathin |
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Roslan, Rosaida Fathin |
title |
Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan |
title_short |
Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan |
title_full |
Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan |
title_fullStr |
Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan |
title_full_unstemmed |
Adoption of advanced technology for construction productivity improvement / Rosaida Fathin Roslan |
title_sort |
adoption of advanced technology for construction productivity improvement / rosaida fathin roslan |
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2024 |
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https://ir.uitm.edu.my/id/eprint/108661/1/108661.pdf https://ir.uitm.edu.my/id/eprint/108661/ |
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1819914056532754432 |
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13.232389 |