Antecedents and outcomes of work-life balance for women faculty members in India

  • 85 Views
  • 12 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Work-life balance is crucial for the well-being and job satisfaction of female teachers in higher educational institutions. Female faculty members face unique challenges in managing academic and personal responsibilities. This study aims to explore the antecedents and outcomes of work-life balance among female faculty in higher educational institutions in India. A quantitative study was conducted using a questionnaire method via SMART-PLS software. The study surveyed 1,384 women teaching at universities, first-grade colleges, and business schools, with respondents aged between 25 and 65 years, up to 20 years of teaching experience, and holding qualifications of either a master’s (71.63%) or a Ph.D. degree (28.37%). These findings illustrate that the supervisor support (β = 0.366) and high-commitment work system (β = 0.308) positively impact work-life balance. The impact of organizational strategies is insignificant. There is a significant mediation impact of work-life balance (β = 0.120) between supervisor support and job satisfaction. In contrast, it is insignificant for work-life balance mediation between organizational strategies and job satisfaction. In addition, work-life balance highly affects work productivity (β = 0.730), employee propensity to work from home (β = 0.471), and job satisfaction (0.327). The study highlights the need for educational institutions to actively support supervisory practices and a high-commitment work system to address the specific needs of female employees.

view full abstract hide full abstract
    • Figure 1. Structural model
    • Table 1. Explanation of the questionnaire items
    • Table 2. Demographic profile of the respondents
    • Table 3. Reliability and validity of measurement model
    • Table 4. Discriminant validity of the scale
    • Table 5. Inner VIF values for common method bias
    • Table 6. f-square statistics
    • Table 7. Hypotheses results
    • 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