Chaitali Shah
Research Subjects
Chaitali Shah has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Avani Raval
Nirma University
1 shared publication - Mayank Bhatia
Institute of Management, Nirma University, Ahmedabad, Gujarat, India
1 shared publication - Shashank Thanki
Institute of Management, Nirma University, Ahmedabad, India
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 19 March 2025
- Published by SAGE Publications in NMIMS Management Review
- Vol. 33 (1) , 55-64
Work-Life Balance Among Working Women: A Study with Reference to Service Industry
Purpose: This study investigates the issues surrounding work-life balance (WLB) and its relationship with job satisfaction (JS) among middle-level female employees in the service sector in Ahmedabad, India. Design/Methodology/Approach: Using purposive sampling, data were collected through a structured questionnaire. The study employs hierarchical cluster analysis to classify employees into high- and low-level WLB groups. Findings: The findings of the present study align with the job demands-resources (JDR) theory. The results reveal that higher levels of WLB correlate positively with greater JS. Among factors influencing WLB, family care ranked highest, followed by personal expectations. Research Implications: This study provides actionable insights for HR practitioners to develop gender-inclusive policies that enhance retention and employee satisfaction in the service sector.
- 19 March 2025
- Published by SAGE Publications in NMIMS Management Review
- Vol. 33 (1) , 55-64
Top Cited PapersOpen AccessWork-Life Balance Among Working Women: A Study with Reference to Service Industry
Purpose: This study investigates the issues surrounding work-life balance (WLB) and its relationship with job satisfaction (JS) among middle-level female employees in the service sector in Ahmedabad, India. Design/Methodology/Approach: Using purposive sampling, data were collected through a structured questionnaire. The study employs hierarchical cluster analysis to classify employees into high- and low-level WLB groups. Findings: The findings of the present study align with the job demands-resources (JDR) theory. The results reveal that higher levels of WLB correlate positively with greater JS. Among factors influencing WLB, family care ranked highest, followed by personal expectations. Research Implications: This study provides actionable insights for HR practitioners to develop gender-inclusive policies that enhance retention and employee satisfaction in the service sector.