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Digital transformation: exploring cornerstones for construction industry.
- Source :
- Kybernetes; 2024, Vol. 53 Issue 12, p5378-5401, 24p
- Publication Year :
- 2024
-
Abstract
- Purpose: Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry. Design/methodology/approach: This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny. Findings: The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots. Originality/value: This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0368492X
- Volume :
- 53
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Kybernetes
- Publication Type :
- Periodical
- Accession number :
- 181469710
- Full Text :
- https://doi.org/10.1108/K-05-2023-0895