Building Information Modelling (BIM) for Construction Supply Chain: A Scientometric Analysis

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Ahmad, Syed Haseeb, Chan, Melissa ORCID: 0000-0003-1589-6850, Yang, Wei ORCID: 0000-0002-3673-6488, Jin, Hongyu ORCID: 0000-0001-9316-6971 and Heravi, Amirhossein ORCID: 0000-0003-2939-7745 (2023) Building Information Modelling (BIM) for Construction Supply Chain: A Scientometric Analysis. In: CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Capone, P, Getuli, V, Pour Rahimian, F, Dawood, N, Bruttini, A and Sorbi, T, eds. Firenze University Press, Florence, Italy, pp. 477-488.

Abstract

The automation and innovation have impacted Architecture, Engineering and Construction Industry, particularly when transitioning from traditional or conventional methods of construction to modular or Industrialized Building System (IBS). Thus, to ameliorate the processes surrounding built environment, researchers have been interested in the BIM’s integration into construction industry. To ensure BIM’s adoption and integration into construction supply chain, supply chain’s management and procurement, we need to have an extensive comprehensive research base regarding global outlook of BIM’s relation with supply chain. The purpose of this study is to identify global scientific research patterns and trends related to BIM’s role in supply chain, by performing scientometric analysis. The scientometric analysis will help us analyze the work being done in this field and whether a significant literature exists that supports or helps in adoption of this idea. Most of the already existing research on BIM is performed on various other aspects of BIM like infrastructure sustainability, green buildings, design, framework, management of facilities and other BIM related managerial aspects. Thus, it is highly imperative to systematize and analyze the existing global scientific literature research to identify the global trends and frontiers on current BIM’s relation with construction supply chain. Not only this would pave the way towards identification of current relevant literature but would also lay down the foundations for digital transformation in construction.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/48653
Edition 1st
DOI 10.36253/979-12-215-0289-3.46
Official URL https://books.fupress.com/catalogue/building-infor...
Subjects Current > FOR (2020) Classification > 3302 Building
Current > Division/Research > College of Science and Engineering
Keywords Building information modelling, BIM, construction, digitalisation, procurement, scientometric, supply chain management
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