Flexible work arrangements and their impact on women’s job satisfaction and quality of life: The mediating role of work-life balance

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Type of the article: Research Article

Abstract
The study aims to examine the influence of flexible work arrangements (FWAs) on women’s job satisfaction, work-life balance, and quality of life, focusing on the mediating role of work-life balance and the moderating role of job demands. A cross-sectional questionnaire survey was conducted from March to November 2024 among women in domestic companies in Bengaluru, India. This study surveyed 592 women professionals from small- and medium-sized domestic firms across IT, finance, healthcare, retail, and service sectors. Respondents, engaged in flexible or hybrid work roles at various job levels, were selected for their direct experience with flexible schedules, making them well-positioned to assess impacts on job satisfaction, work-life balance, and quality of life. The results demonstrate that FWAs have significant direct effects on job satisfaction (β = 0.211, p < 0.001), work-life balance (β = 0.477, p < 0.001), and quality of life (β = 0.34, p < 0.001). Additionally, work-life balance positively influences both job satisfaction (β = 0.352, p < 0.001) and quality of life (β = 0.342, p < 0.001). Mediation analysis reveals that work-life balance partially mediates the relationships between FWAs and job satisfaction (β = 0.168, p < 0.001) as well as FWAs and quality of life (β = 0.163, p < 0.001). Furthermore, job demands are shown to moderate the relationship between FWAs and work-life balance (β = 0.15, p = 0.001). The findings have highlighted the need for flexible work arrangements that enhance women’s overall work-life integration and well-being.

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    • Figure 1. Research model
    • Figure 2. Moderating role of job demands in the relationship between flexible work arrangements and work-life balance
    • Table 1. Demographic characteristics
    • Table 2. Reliability and validity
    • Table 3. HTMT results – Discriminant validity
    • Table 4. Inner VIF for CMB
    • Table 5. Hypotheses testing – Path coefficients
    • Conceptualization
      Jamunarani H.S., Rajeena Syed
    • Data curation
      Jamunarani H.S., Rajeena Syed
    • Formal Analysis
      Jamunarani H.S., Rajeena Syed
    • Investigation
      Jamunarani H.S., Rajeena Syed
    • Methodology
      Jamunarani H.S., Rajeena Syed
    • Project administration
      Jamunarani H.S., Rajeena Syed
    • Software
      Jamunarani H.S.
    • Validation
      Jamunarani H.S., Rajeena Syed
    • Visualization
      Jamunarani H.S., Rajeena Syed
    • Writing – original draft
      Jamunarani H.S.
    • Writing – review & editing
      Jamunarani H.S., Rajeena Syed
    • Resources
      Rajeena Syed
    • Supervision
      Rajeena Syed