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Autor principal:	Alsofiani, Mohammed Abdulsalam
Formato:	Preprint
Publicado:	2024
Materias:	Robotics
Acceso en línea:	https://arxiv.org/abs/2405.19755
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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author	Alsofiani, Mohammed Abdulsalam
author_facet	Alsofiani, Mohammed Abdulsalam
contents	Building Information Modeling (BIM) is a crucial technology in the construction industry, offering benefits such as enhanced collaboration, real-time decision-making, and significant cost and time savings. Despite its advantages, BIM adoption faces numerous barriers. This study aims to create a reliable tool to assess the Rate of BIM Adoption (RBA), drawing on Attributes of Innovation theory and empirical data from the literature. This research integrates theoretical insights with empirical data, providing quantitative items to measure BAR in the construction industry. The quantitative approach helps decision-makers and policymakers to mandate BIM and establish appropriate implementation standards. Its implications are significant for the construction industry, policymakers, and the academic community, offering a systematic approach to assess BIM adoption, identify barriers, and implement targeted strategies. The reliability of this approach is ensured through a solid theoretical foundation, item development, pilot testing, and statistical analysis, making it a valuable resource for improving BIM implementation and fostering innovation in the construction industry.
format	Preprint
id	arxiv_https___arxiv_org_abs_2405_19755
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Developing a Comprehensive Measurement Tool for Assessing the Rate of BIM Adoption in the Construction Industry Alsofiani, Mohammed Abdulsalam Robotics Building Information Modeling (BIM) is a crucial technology in the construction industry, offering benefits such as enhanced collaboration, real-time decision-making, and significant cost and time savings. Despite its advantages, BIM adoption faces numerous barriers. This study aims to create a reliable tool to assess the Rate of BIM Adoption (RBA), drawing on Attributes of Innovation theory and empirical data from the literature. This research integrates theoretical insights with empirical data, providing quantitative items to measure BAR in the construction industry. The quantitative approach helps decision-makers and policymakers to mandate BIM and establish appropriate implementation standards. Its implications are significant for the construction industry, policymakers, and the academic community, offering a systematic approach to assess BIM adoption, identify barriers, and implement targeted strategies. The reliability of this approach is ensured through a solid theoretical foundation, item development, pilot testing, and statistical analysis, making it a valuable resource for improving BIM implementation and fostering innovation in the construction industry.
title	Developing a Comprehensive Measurement Tool for Assessing the Rate of BIM Adoption in the Construction Industry
topic	Robotics
url	https://arxiv.org/abs/2405.19755

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