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Predicting Work–Life Balance Among Professional Women in Delhi NCR Using Multiple Regression Analysis

Prerna Verma & Dr. Kirti

This study investigates the predictive relationship between key organizational and personal factors and the overall perception of work–life balance (WLB) among professional women in Delhi NCR. Drawing on a structured survey of 543 working women across IT, education, healthcare, government, and corporate sectors, the research identifies Work–Life Balance Challenges (WLB-C), Organizational Support (OS), and Coping Strategies (CS) as critical variables influencing WLB outcomes. The study is grounded in Role Conflict Theory, Border Theory, and the Conservation of Resources (COR) Theory to understand the dynamic interplay between work demands and personal well-being. Using multiple linear regression analysis in SPSS, results reveal that WLB-C has a significant negative impact on WLB, while OS and CS positively contribute to improved balance. The regression model explains 62.7% of the variance in WLB (R² = 0.627, p < 0.001). Pearson correlation analysis also confirms significant associations among the study variables. These findings underline the importance of workplace policies, supervisor empathy, and individual coping strategies in managing role strain and promoting psychological well-being. The study offers actionable insights for policymakers and HR professionals to implement flexible work arrangements, mental wellness programs, and gender-sensitive support systems. It also contributes to the growing body of WLB literature in the Indian urban professional context.

Verma, P & Kirti. (2025). Predicting Work–Life Balance Among Professional Women in Delhi NCR Using Multiple Regression Analysis. International Journal of Advanced Research in Commerce, Management & Social Science, 08(04(II)), 154–162. https://doi.org/10.62823/IJARCMSS/8.4(II).8377

DOI:

Article DOI: 10.62823/IJARCMSS/8.4(II).8377

DOI URL: https://doi.org/10.62823/IJARCMSS/8.4(II).8377


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