Graduation Year
2023
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Public Health
Major Professor
Thomas E. Bernard, Ph.D.
Co-Major Professor
Joe Bohn, Ph.D.
Committee Member
Skai Schwartz, Ph.D.
Committee Member
Luis F. Pieretti, Ph.D.
Keywords
construction safety management, total quality management, Royal Commission, key performance indicators
Abstract
Statement of Purpose: This study sought to assess the relationship between leading and lagging indicators in construction safety Management in the Kingdom of Saudi Arabia. In particular, it sought to determine whether construction sites with higher leading indicators predicted fewer incidents/accidents.Rationale for Study: Construction safety management is a critical occupational health concern globally. Scholars have researched approaches to improve safety measures and performance in construction sites. However, there is little discourse assessing the relationship between the leading indicators and the occurrence of incidents and accidents in construction sites. General Methods: A quantitative analysis was used in this study. Data were collected from 33 Royal Commission construction site projects. Results: Findings from statistical analysis show that an increase in self-inspection was associated with an increase in stop work orders. The beneficial effects of leading indicators on lagging indicators were found for self-inspection and incidences plus near misses, for training and stop work orders, and for disciplinary actions and the rate of incidents. Conclusion: The presence of some leading indicators predicted fewer lagging indicators, particularly incidents and near misses. An increase in self-inspection was associated with an increase in stop-work orders. This relationship was a potential reaction to stop work orders. Therefore, these findings demonstrate that some leading indicators can predict the occurrence of lagging indicators, a phenomenon that can be used by the Royal Commission and other stakeholders in the construction industry to improve the overall safety performance in the sector.
Scholar Commons Citation
Halloul, Anas H., "Relationships between Leading and Trailing Indicators at Construction Sites in Yanbu Industrial City, Saudi Arabia" (2023). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9876
