Data-Driven Insights into Enhancing Employee Performance through Work-Life Improvements in Nepalese Small and Medium Enterprises

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Abstract

Small and medium companies (SMEs) play a vital part in Nepal's economy; nevertheless, there is insufficient study on boosting staff productivity within this sector. This study investigates how essential aspects of work-life quality impact employee performance in service organizations in Nepal. The research surveyed 387 employees and analyzed five predictor variables: attitude, nature of job, individual growth and development, stress level, and challenges. The study found that attitude explains 51.0% of the variance in work performance (WP) in hierarchical regression analysis, increasing to 63.5% when all factors are included. The findings suggest that service-oriented firms can improve productivity by focusing on job design, developmental opportunities, and supportive settings to reduce workplace stress. This research offers evidence-based insights to help managers create specific initiatives to enhance employee well-being and overall organizational effectiveness.

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APA

Ghimire, B., Dahal, R. K., & Singh, S. (2024). Data-Driven Insights into Enhancing Employee Performance through Work-Life Improvements in Nepalese Small and Medium Enterprises. Journal of Logistics, Informatics and Service Science, 11(6), 167–183. https://doi.org/10.33168/JLISS.2024.0610

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