TY - GEN
T1 - Advancing Skills for the Construction Industry in the Era of 4IR
T2 - Future Technologies Conference, FTC 2025
AU - Gyadu-Asiedu, Nana Akua Asabea
AU - Aigbavboa, Clinton
AU - Ametepey, Simon Ofori
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - The Fourth Industrial Revolution (4IR) is transforming industries through automation, artificial intelligence, and data analytics, necessitating advanced skills in the construction sector. This study examines the evolving research landscape on 4IR and skills development in construction using bibliometric analysis. Data from 101 documents retrieved via Google Scholar through Publish or Perish software were analyzed. Google Scholar was selected for its broad coverage of academic content, including journal articles, books, dissertations, and conference proceedings. The bibliometric data were processed using VOS viewer, enabling a co-occurrence analysis of key terms such as “4IR”, “advancing”, “skills”, and “construction”. Findings revealed six major research clusters, focusing on 4IR technology adoption, advanced skill development, datadriven opportunities and challenges, construction education, and strategic integration of technology. The analysis highlights the critical role of leadership, innovation, and workforce transformation in implementing 4IR concepts successfully. It was also evident that South Africa is the only African country with substantial research on this focus. Despite growing research in this field, gaps remain in aligning technological advancements with specific skill requirements, particularly in resource-constrained environments like Africa and other developing regions. There is also a lack of comprehensive studies on integrating 4IR technologies into workforce training programs. A limitation of this study is its reliance on a single database (Google Scholar), which biases English-language publications. However, by leveraging bibliometric mapping, this research provides valuable insights for academics, industry practitioners, and policymakers, guiding them in navigating the evolving, technology-driven construction landscape.
AB - The Fourth Industrial Revolution (4IR) is transforming industries through automation, artificial intelligence, and data analytics, necessitating advanced skills in the construction sector. This study examines the evolving research landscape on 4IR and skills development in construction using bibliometric analysis. Data from 101 documents retrieved via Google Scholar through Publish or Perish software were analyzed. Google Scholar was selected for its broad coverage of academic content, including journal articles, books, dissertations, and conference proceedings. The bibliometric data were processed using VOS viewer, enabling a co-occurrence analysis of key terms such as “4IR”, “advancing”, “skills”, and “construction”. Findings revealed six major research clusters, focusing on 4IR technology adoption, advanced skill development, datadriven opportunities and challenges, construction education, and strategic integration of technology. The analysis highlights the critical role of leadership, innovation, and workforce transformation in implementing 4IR concepts successfully. It was also evident that South Africa is the only African country with substantial research on this focus. Despite growing research in this field, gaps remain in aligning technological advancements with specific skill requirements, particularly in resource-constrained environments like Africa and other developing regions. There is also a lack of comprehensive studies on integrating 4IR technologies into workforce training programs. A limitation of this study is its reliance on a single database (Google Scholar), which biases English-language publications. However, by leveraging bibliometric mapping, this research provides valuable insights for academics, industry practitioners, and policymakers, guiding them in navigating the evolving, technology-driven construction landscape.
KW - Bibliometric analysis
KW - Construction industry
KW - Fourth Industrial Revolution (4IR)
KW - Skill development
KW - Workforce transformation
UR - https://www.scopus.com/pages/publications/105028364845
U2 - 10.1007/978-3-032-07995-4_34
DO - 10.1007/978-3-032-07995-4_34
M3 - Conference contribution
AN - SCOPUS:105028364845
SN - 9783032079947
T3 - Lecture Notes in Networks and Systems
SP - 516
EP - 528
BT - Proceedings of the Future Technologies Conference, FTC 2025, Volume 3
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 6 November 2025 through 7 November 2025
ER -