Construction supervisors have an essential role in the operations of the construction industry, as it is their duty to manage workers and resources, define work plans, and foster a safe hazard-free workplace. Research has consistently emphasized the importance of effective supervision in enhancing field productivity. Although existing studies have examined the significance and best practices of construction frontline supervision, little research has been conducted on the influence of various technologies on these supervisory practices. This paper aims to investigate how the adoption of different technologies affects the time allocation for frontline supervision tasks. To accomplish this objective, an online questionnaire was administered to 1062 frontline supervisors. The survey sought to determine the percentage of time dedicated to different tasks and whether specific technologies were utilized on-site. The analysis of the collected data revealed noteworthy findings, indicating that the implementation of several technologies statistically impacted the time spent on 'supervision,' 'administration,' 'planning,' and 'training' activities.
|Title of host publication||HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings|
|State||Published - 2023|
|Event||5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 - Istanbul, Turkey|
Duration: Jun 8 2023 → Jun 10 2023
|Name||HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings|
|Conference||5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023|
|Period||6/8/23 → 6/10/23|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT The authors express their sincere gratitude to the Construction Industry Institute for their generous support in providing partial funding for this research project. They would also like to extend their appreciation to the University of Kentucky (UK) for their valuable and ongoing support. The authors would like to acknowledge and thank all the survey respondents for their participation, as their contribution was vital to the success of this research. It is important to note that any findings, opinions, recommendations, and conclusions, presented in this paper are solely those of the authors and do not necessarily reflect the opinions of UK.
© 2023 IEEE.
- construction industry
- frontline supervision
- technology use
- time allocation
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Control and Optimization