Evaluating Work–Life Balance across Demographic and Job Factors: A Data-Driven Study of Hotel Employees.
Keywords:
work–life balance, job demands, hospitality employees, statistical analysis, job satisfactionAbstract
This study investigates the multidimensional factors influencing work–life balance (WLB) among hotel employees, focusing on how demographic characteristics and job-related variables shape employees’ experiences within the hospitality sector. Using a quantitative research approach, the study analyzes data from 300 respondents through advanced statistical techniques including reliability tests, correlation analysis, multiple regression, ANOVA, and chi-square tests. The findings reveal strong internal consistency within survey measures and highlight significant relationships between WLB and key predictors such as job demands, time flexibility, supervisor support, emotional exhaustion, and growth opportunities. Time flexibility and supervisor support emerged as strong positive contributors to WLB, while job demands and long work hours negatively influenced employee perceptions of balance. Additionally, work–life balance showed a substantial positive impact on job satisfaction and retention intention, underscoring its importance for organizational stability. ANOVA results indicated significant variations in WLB across job roles and shift types, while chi-square tests demonstrated strong associations between shift patterns, gender, and satisfaction levels. The study provides data-driven insights that can support evidence-based human resource strategies aimed at enhancing employee well-being, performance, and retention in the hotel industry.
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