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Ahmed, M O, El-Adaway, I H and Caldwell, A (2024) Comprehensive understanding of factors impacting competitive construction bidding. Journal of Construction Engineering and Management, 150(04).
Borhani, A, Borhani, A, Dossick, C S and Jupp, J (2024) An ontological analysis for comparison of the concepts of sustainable building and intelligent building. Journal of Construction Engineering and Management, 150(04).
Eissa, R, Nabi, M A and El-Adaway, I H (2024) Risk–reward share allocation under different integrated project delivery relational structures: A monte-carlo simulation and cooperative game theoretic solutions approach. Journal of Construction Engineering and Management, 150(04).
Gunduz, M, Sirin, O and Al Nawaiseh, H M (2024) Assessment of critical project success factors for management of pavement construction using the Delphi approach. Journal of Construction Engineering and Management, 150(04).
Guo, W, Lu, W, Kang, F and Zhang, L (2024) How to foster relational behavior in construction projects: Direct and mediating effects of contractual complexity and regulatory focus. Journal of Construction Engineering and Management, 150(04).
Husam, S, Laishram, B and Johari, S (2024) Framework to enhance gender inclusion of workers in construction sites. Journal of Construction Engineering and Management, 150(04).
Ishdorj, S, Ahn, C R and Park, M (2024) Major factors influencing safety knowledge-sharing behaviors of construction field workers: Worker-to-worker level safety communication. Journal of Construction Engineering and Management, 150(04).
Kaya, H D and Dikmen, I (2024) Using system dynamics to support strategic digitalization decisions. Journal of Construction Engineering and Management, 150(04).
Kim, Y and Ham, Y (2024) Revealing the impact of heat radiation on construction: A microclimate simulation using meteorological data and geometric modeling. Journal of Construction Engineering and Management, 150(04).
Lee, K and Hasanzadeh, S (2024) Understanding cognitive anticipatory process in dynamic hazard anticipation using multimodal psychophysiological responses. Journal of Construction Engineering and Management, 150(04).
Ma, S, Li, Z, Li, L, Zhang, S and Zheng, R (2024) Deciphering the key characteristics of on-site industrialized construction: Inspiration from China. Journal of Construction Engineering and Management, 150(04).
Pinheiro Santos Fernandes, P G, Elias Arantes, A and Ferreira Nobre Júnior, E (2024) Optimization model for earthwork allocations considering the construction of multiple haul roads: GIS-based integrated approach. Journal of Construction Engineering and Management, 150(04).
Rizaee, S and Lei, Z (2024) Duration estimation of a heavy industrial scaffolding project: A case study. Journal of Construction Engineering and Management, 150(04).
Salhab, D, Lindhard, S M and Hamzeh, F (2024) Simulation-based approximation of the gain from applying overlapping activities. Journal of Construction Engineering and Management, 150(04).
Vora, C, Aryal, A, Willoughby, S and Wang, C (2024) Investigating stakeholder perception and developing a decision framework for robot adoption in construction. Journal of Construction Engineering and Management, 150(04).
- Type: Journal Article
- Keywords: decision-making framework; human-robot collaboration; perception; robots
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14233
- Abstract:
Considering the benefits of using robots in the manufacturing and automobile sectors, robots are currently being developed for the construction industry; however, the rate of adopting robots in this industry is still in its nascent stage. As robots are introduced to project sites, safety, productivity, ease of use, level of robot autonomy, etc. become important parameters for wide-scale adoption; however, research that analyzes the point of view of construction industry stakeholders on adopting robots, to our best knowledge, is still limited. Identifying the expectations and perceptions of different stakeholders about robotic technology is crucial to ensuring the effective utilization the human-robot teams on project sites. This research aimed to study and compare stakeholders' perceptions, levels of trust, and comfort levels in using different robotic technologies on their project sites. Based on these perceptions, this research developed a decision-making framework that will guide industry stakeholders in understanding what steps need to be followed while deciding to robotize a particular task. The research used a questionnaire to collect relevant data from various construction industry stakeholders. The results suggest that these stakeholders have a positive attitude toward the adoption of robots, with drones and layout robots receiving the most favorable response. The top factors that drive robot adoption include a robot's ability to save time by reducing rework and the ability to help in monitoring and quality control. However, factors such as high costs and lack of a skilled workforce were identified as barriers to robot adoption. This research contributes to the body of knowledge concerning how different stakeholders in the construction industry perceive the utilization of robots in the construction sector.
Wong, M O, Zhang, Z and Pan, W (2024) Multiuser virtual reality-enabled collaborative heavy lift planning in construction. Journal of Construction Engineering and Management, 150(04).
Xu, F, Nguyen, T and Du, J (2024) Augmented reality for maintenance tasks with chatgpt for automated text-to-action. Journal of Construction Engineering and Management, 150(04).
Zhang, Y, Xiao, B and Li, X (2024) Integrating virtual reality and consensus models for streamlined built environment design collaboration. Journal of Construction Engineering and Management, 150(04).