TY - GEN
T1 - Barriers to the Adoption of Robot-Assisted Construction Approach in the South African Built Environment
AU - Akinradewo, Opeoluwa
AU - Aigbavboa, Clinton
AU - Gwebu, Mfundo
AU - Stephen, Seyi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Robotics has developed and thrived in every modern sector other than the built environment since the mid-twentieth century. Robots are intelligent mechanisms that can be modified to do tasks autonomously. Although construction robots have been around since the 1960s and 1970s, the built environment falls behind other sectors in innovation adoption, in which robotics is no exception. This study adopts a quantitative research approach to understand why the built environment is slow to implement robotics in construction operations. Questionnaires were distributed to professionals in the South African built environment to extract their opinion on the barriers to the usage of the robot-assisted construction approach. A total of 124 respondents participated in the study, and retrieved data were analyzed using mean score, standard deviation, and normalized mean value. Findings from the study revealed that the main barriers to adopting a robot-assisted construction approach are risk of job loss caused by technology, high cost of acquiring technology, and high cost of maintaining technology. It was concluded that developing countries like South Africa have the majority of their unskilled labours employed by the built environment. This has led to the sector’s slow approach to digital innovations, as humans risk job loss when adopting robots. It was recommended that awareness of the advantages of the robot-assisted construction approach should be raised to improve its adoption in the built environment of developing countries.
AB - Robotics has developed and thrived in every modern sector other than the built environment since the mid-twentieth century. Robots are intelligent mechanisms that can be modified to do tasks autonomously. Although construction robots have been around since the 1960s and 1970s, the built environment falls behind other sectors in innovation adoption, in which robotics is no exception. This study adopts a quantitative research approach to understand why the built environment is slow to implement robotics in construction operations. Questionnaires were distributed to professionals in the South African built environment to extract their opinion on the barriers to the usage of the robot-assisted construction approach. A total of 124 respondents participated in the study, and retrieved data were analyzed using mean score, standard deviation, and normalized mean value. Findings from the study revealed that the main barriers to adopting a robot-assisted construction approach are risk of job loss caused by technology, high cost of acquiring technology, and high cost of maintaining technology. It was concluded that developing countries like South Africa have the majority of their unskilled labours employed by the built environment. This has led to the sector’s slow approach to digital innovations, as humans risk job loss when adopting robots. It was recommended that awareness of the advantages of the robot-assisted construction approach should be raised to improve its adoption in the built environment of developing countries.
KW - Automation
KW - Construction
KW - Digitalization
KW - Innovation
KW - Robots
UR - http://www.scopus.com/inward/record.url?scp=85200399588&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-56544-1_7
DO - 10.1007/978-3-031-56544-1_7
M3 - Conference contribution
AN - SCOPUS:85200399588
SN - 9783031565434
T3 - Lecture Notes in Civil Engineering
SP - 97
EP - 109
BT - Advances in Engineering Management, Innovation, and Sustainability - Proceedings of the 13th International Conference on Engineering, Project, and Production Management, 2023
A2 - Rotimi, James Olabode Bamidele
A2 - Shahzad, Wajiha Mohsin
A2 - Sutrisna, Monty
A2 - Kahandawa, Ravindu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Engineering, Project, and Production Management, EPPM 2023
Y2 - 29 November 2023 through 1 December 2023
ER -