A Multivariate Analysis of Work-Life Balance Predicting Employee Performance, Well-Being and Commitment on Microfinance Sector in Davao Region
Year: 2026
Type: article
Study design: Observational Study
Abstract: This study examined the predictive influence of work-life balance on employee performance, well-being, and commitment in the microfinance sector in the Davao Region, Philippines. Specifically, it determined the levels of these variables and assessed whether work-life balance predicts the three employee outcomes simultaneously and individually. A quantitative, non-experimental predictive research design was employed, involving 300 employees of five microfinance institutions selected through stratified random sampling. Data were gathered through adapted survey questionnaires and analyzed using the mean, standard deviation, and Multivariate Multiple Regression Analysis (MMRA). The findings revealed that work-life balance, employee performance, employee well-being, and employee commitment were all high and often manifested among the respondents. Work-life balance had a significant multivariate predictive influence on the combined outcomes (Pillai’s Trace = 0.722, F = 246.989, p < .001) and significantly and positively predicted each outcome, with employee well-being showing the largest effect size (partial η² = .681), followed by performance (.639) and commitment (.519). These findings support Conservation of Resources Theory and underscore the importance of maintaining a balance between professional responsibilities and personal life in promoting positive employee outcomes. The study recommends that microfinance institutions strengthen employee support programs, promote manageable workloads, provide flexible work arrangements where feasible, and recognize employees’ personal and family responsibilities to enhance their performance, well-being, and organizational commitment.
Authors: Ongob, Ricardo, Noval, Joseph Elmer
Institution: University of the Immaculate Conception
Language: English
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7225342793