TY - GEN
T1 - Measures to Improve the Adoption of 4IR Technologies in the South African Construction Industry
AU - Akinradewo, Opeoluwa
AU - Ntso, Yonela
AU - Aigbavboa, Clinton
AU - Adekunle, Peter
AU - Otasowie, Kenneth
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - The South African construction industry faces numerous challenges, including low productivity, poor project performance, and limited technological advancement. In response, the adoption of Fourth Industrial Revolution (4IR) technologies presents a transformative opportunity to address these issues through digitization, automation, and improved efficiency. This study investigates the key measures required to enhance the adoption of 4IR technologies in the construction sector. A quantitative research approach was employed, using a structured questionnaire distributed to construction professionals in Gauteng Province. Statistical techniques such as Mean Item Score analysis, Kruskal-Wallis test, and Exploratory Factor Analysis (EFA) were applied to analyze the data. Findings revealed two major clusters of measures: the Development Approach, which emphasizes policy support, funding, and investment; and the Educational Approach, which highlights training, awareness, and integration of 4IR concepts in academic curricula. The results suggest that effective adoption of 4IR technologies requires a collaborative effort involving government enforcement, educational reform, industry awareness, and financial support. While the study offers valuable insights, its limitation lies in its geographic focus, suggesting the need for broader, nationwide studies. Future research should explore the impact of specific 4IR technologies on construction performance. This study contributes to ongoing discourse on digital transformation in the construction industry.
AB - The South African construction industry faces numerous challenges, including low productivity, poor project performance, and limited technological advancement. In response, the adoption of Fourth Industrial Revolution (4IR) technologies presents a transformative opportunity to address these issues through digitization, automation, and improved efficiency. This study investigates the key measures required to enhance the adoption of 4IR technologies in the construction sector. A quantitative research approach was employed, using a structured questionnaire distributed to construction professionals in Gauteng Province. Statistical techniques such as Mean Item Score analysis, Kruskal-Wallis test, and Exploratory Factor Analysis (EFA) were applied to analyze the data. Findings revealed two major clusters of measures: the Development Approach, which emphasizes policy support, funding, and investment; and the Educational Approach, which highlights training, awareness, and integration of 4IR concepts in academic curricula. The results suggest that effective adoption of 4IR technologies requires a collaborative effort involving government enforcement, educational reform, industry awareness, and financial support. While the study offers valuable insights, its limitation lies in its geographic focus, suggesting the need for broader, nationwide studies. Future research should explore the impact of specific 4IR technologies on construction performance. This study contributes to ongoing discourse on digital transformation in the construction industry.
KW - Construction industry
KW - Digital transformation
KW - Fourth Industrial Revolution
KW - South Africa
KW - Technology adoption
UR - https://www.scopus.com/pages/publications/105028357550
U2 - 10.1007/978-3-032-07995-4_33
DO - 10.1007/978-3-032-07995-4_33
M3 - Conference contribution
AN - SCOPUS:105028357550
SN - 9783032079947
T3 - Lecture Notes in Networks and Systems
SP - 502
EP - 515
BT - Proceedings of the Future Technologies Conference, FTC 2025, Volume 3
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Future Technologies Conference, FTC 2025
Y2 - 6 November 2025 through 7 November 2025
ER -