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A Systematic Review of the Technological Factors Affecting the Adoption of Advanced IT with Specific Emphasis on Building Information Modeling

  • Mohamed Ghayth Elghdban
  • , Nurhidayah Binti Azmy
  • , Adnan Bin Zulkiple
  • , Mohammed A. Al-Sharafi*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Scopus citations

Abstract

Despite the sensitivity of the architecture, engineering, and construction (AEC) industry to the changes in demographic factors, economic activity, and social development, the industry is consistently progressing and becoming more successful. Organizations in the AEC industry are lagging in the adoption of advanced IT. For instance, Building Information Modelling (BIM) is among the top technologies utilized by the industry. BIM is extensively known as one of the innovations of IT to have emerged within the AEC industry. Although BIM processes require organization-wide adoption, few studies focused on the technological factors influencing BIM adoption at the organizational level in the AEC industry. Therefore, the present study aims to further enrich the literature of such studies through a systematic literature review (SLR). The main objective of this SLR is to analyze the current studies that involved the technological factors that influence organizations to adopt and use advanced IT, such as BIM. Therein, 78 up-to-date studies retrieved from two primary databases (Scopus and Web of Science) were critically analyzed in the period between 2015 and October 2019. The review identified 42 technological factors that may affect BIM adoption in the AEC industry. The outcome of this SLR will add significantly to the existing literature in IT adoption in general, and BIM adoption practically.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer
Pages29-42
Number of pages14
DOIs
StatePublished - 2021
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
Volume295
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • And construction (AEC) industry
  • Architecture
  • Building information modeling
  • Engineering
  • IT adoption
  • Technological factors

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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