Authors:
R. Abirami, R. Regin, D. Celin Pappa, Humara Ahmad
Addresses:
Department of Management Studies, Saveetha Engineering College, Chennai, Tamil Nadu, India. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Science and Humanity, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Business School, University of Portsmouth, Portsmouth, England, United Kingdom.
Abstract:
Work-Life Balance (WLB) has been recognised as one of the most important issues for women researchers conducting research work in institutions of higher education. This research examines how demographic factors, including family type, age category, and children's age, affect perspectives on the factors that determine work-life balance for women research scholars. For data acquisition, primary research was conducted on 961 valid respondents working in universities, government colleges, and Self-Financing institutions. Analysis of the response data has been carried out using descriptive statistics to identify respondent characteristics, followed by inferential analysis using ‘Analysis of Variance’ and ‘Correlation Analysis.’ The finding reveals that demographic factors, including type of family and children's age, are non-significant influencers for perceptions about work-life balance factors, including ‘career’, ‘family responsibility’, ‘personal’, ‘social’, and ‘Work-life’ factors. The research identifies very strong, equally significant correlations among work-life balance factors, indicating interdependence between personal and work-life affairs. This research work emphasises work-life balance for women research scholars who experience equal difficulties in both personal and professional spheres, and stresses the need for such support within institutions.
Keywords: Women Research Scholars; Family Type; ANOVA Analysis; Correlation Analysis; Work–Life Balance; Analysis of Variance; Family Responsibility; Academic Leadership; Data-Driven Decision-Making.
Received: 09/07/2024, Revised: 02/09/2024, Accepted: 20/11/2024, Published: 07/09/2025
DOI: 10.64091/ATIML.2025.000162
AVE Trends in Intelligent Management Letters, 2025 Vol. 1 No. 3 , Pages: 131-139