Enhancing Security Workforce Efficiency: Investigating Stress, Attitudes, and Performance Dynamics

Aims: This study examines factors influencing performance variability among security guards employed by government entities in Metro Manila. It focuses on the relationships between performance outcomes and age, work hours, stress levels, attitude, and job satisfaction. Study Design: A cross-sectional quantitative and qualitative study design was utilized to identify performance determinants. Place of Study: Data was collected from 405 security guards across multiple government agencies in Metro Manila. Methodology: Surveys and interviews were conducted to gather data on demographics, job conditions, stress, attitudes, and job satisfaction. Statistical analyses included tests for outliers, data collinearity, normal distribution of errors, homoscedasticity, linearity, and non-zero variances. Bivariate correlation analysis assessed relationships between performance and key factors, while bootstrap regression analysis explored causal links. Slope tests determined the moderating role of job satisfaction. Results: Bivariate correlation analysis revealed significant relationships between performance and variables such as age, attitude, work stress, hours worked daily, and job satisfaction at the 0.001 or 0.01% levels. Bootstrap regression analysis confirmed causal relationships between performance and these factors, significant at the 0.002 or 0.02% level. Job satisfaction emerged as a significant moderator, influencing the effect of age, attitude, work stress, and hours worked on performance. These moderating effects were validated at the 0.002 or 0.02% significance levels, confirming job satisfaction's critical role. Conclusion: The study demonstrates that age, attitude, work stress, hours worked daily, and job satisfaction significantly impact security guard performance. Job satisfaction plays a vital moderating role, highlighting its importance in improving job performance and addressing workplace challenges effectively.