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

Authors: Ahmad, Syed Haseeb; Chan, Melissa; Yang, Wei; Jin, Hongyu; Heravi, Amirhossein;

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

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

Keywords

construction, supply chain management, Building information modelling (BIM), digitalisation, procurement, scientometric, thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green