A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills
The construction industry is slowly embracing digitalisation in line with the Industry 4.0 revolution and the aftermath of the COVID-19 pandemic. However, progress has been sluggish due to stakeholders’ limited awareness of digital skills. This study addresses this issue by developing a comprehensiv...
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Format: | Article |
Language: | English |
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MDPI AG
2023-10-01
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Series: | Buildings |
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Online Access: | https://www.mdpi.com/2075-5309/13/11/2711 |
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author | Fida Hussain Siddiqui Muhammad Jamaluddin Thaheem Amir Abdekhodaee |
author_facet | Fida Hussain Siddiqui Muhammad Jamaluddin Thaheem Amir Abdekhodaee |
author_sort | Fida Hussain Siddiqui |
collection | DOAJ |
description | The construction industry is slowly embracing digitalisation in line with the Industry 4.0 revolution and the aftermath of the COVID-19 pandemic. However, progress has been sluggish due to stakeholders’ limited awareness of digital skills. This study addresses this issue by developing a comprehensive taxonomy of digital skills required to successfully implement the Industry 4.0 principles of digitalisation in the construction industry. A systematic literature review was conducted by mining the Scopus and Web of Science databases to identify relevant literature and map the skills currently used or needed for digitalisation. The study also examined publication trends and outlets to gain insight into developments. Additionally, VOSviewer was used to conduct a scientometric analysis of the shortlisted articles to identify important keywords and authorship collaboration networks within this research domain. A total of thirty-five digital skills were identified from the literature. These skills were organised into a taxonomy with categories named automation and robotics, coding and programming, design, drafting and engineering, digital data acquisition and integration, digital literacy, digitisation and virtualisation, modelling and simulation, and planning and estimation. The developed taxonomy will help stakeholders plan strategically to provide digital skills to the new graduates joining the workforce, enabling a more comprehensive approach to the digitalisation of the construction industry. |
first_indexed | 2024-03-09T16:57:27Z |
format | Article |
id | doaj.art-3926fc119ccd47649062b482f3466ac3 |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-09T16:57:27Z |
publishDate | 2023-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Buildings |
spelling | doaj.art-3926fc119ccd47649062b482f3466ac32023-11-24T14:33:04ZengMDPI AGBuildings2075-53092023-10-011311271110.3390/buildings13112711A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of SkillsFida Hussain Siddiqui0Muhammad Jamaluddin Thaheem1Amir Abdekhodaee2Department of Civil and Construction Engineering, School of Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaSchool of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, AustraliaDepartment of Mechanical Engineering and Product Design Engineering, School of Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, AustraliaThe construction industry is slowly embracing digitalisation in line with the Industry 4.0 revolution and the aftermath of the COVID-19 pandemic. However, progress has been sluggish due to stakeholders’ limited awareness of digital skills. This study addresses this issue by developing a comprehensive taxonomy of digital skills required to successfully implement the Industry 4.0 principles of digitalisation in the construction industry. A systematic literature review was conducted by mining the Scopus and Web of Science databases to identify relevant literature and map the skills currently used or needed for digitalisation. The study also examined publication trends and outlets to gain insight into developments. Additionally, VOSviewer was used to conduct a scientometric analysis of the shortlisted articles to identify important keywords and authorship collaboration networks within this research domain. A total of thirty-five digital skills were identified from the literature. These skills were organised into a taxonomy with categories named automation and robotics, coding and programming, design, drafting and engineering, digital data acquisition and integration, digital literacy, digitisation and virtualisation, modelling and simulation, and planning and estimation. The developed taxonomy will help stakeholders plan strategically to provide digital skills to the new graduates joining the workforce, enabling a more comprehensive approach to the digitalisation of the construction industry.https://www.mdpi.com/2075-5309/13/11/2711construction industrydigital skillsdigitalisationIndustry 4.0systematic literature reviewscientometric analysis |
spellingShingle | Fida Hussain Siddiqui Muhammad Jamaluddin Thaheem Amir Abdekhodaee A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills Buildings construction industry digital skills digitalisation Industry 4.0 systematic literature review scientometric analysis |
title | A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills |
title_full | A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills |
title_fullStr | A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills |
title_full_unstemmed | A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills |
title_short | A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills |
title_sort | review of the digital skills needed in the construction industry towards a taxonomy of skills |
topic | construction industry digital skills digitalisation Industry 4.0 systematic literature review scientometric analysis |
url | https://www.mdpi.com/2075-5309/13/11/2711 |
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