IMPACT OF SUPERVISOR ASSISTANCE, WORK LIFE BALANCE AND TRAINING ON EMPLOYEES' TURNOVER INTENTION: EVIDENCE FROM NON-EXECUTIVE EMPLOYEES OF ABC AUTOMOBILE COMPANY IN SRI LANKA

Abstract

The purpose of this research study is to determine the impact of supervisor assistance, work life balance, and training on employee turnover intention. Additionally, this study aims to fill the gap in literature by investigating the impact of supervisor assistance, work life balance, training on employee turnover intention. While there is a wealth of established global literature on the selected variables, there is limited research specifically focused on the automobile industry. This study explores of the impact of supervisor assistance, work life balance, and training on employee turnover intention of non-executive employees at ABC automobile company in Sri Lanka.This is a deductive, quantitative and cross-sectional research study. The data were collected using a self-administered standard questionnaire in an online format. Simple random sampling technique was employed, and simple regression analysis was used to test hypotheses. The analyzed results reveal that supervisor assistance, work life balance, and training have a positive impact on turnover intention of non-executive employees at ABC automobile company in Sri Lanka.In the case of non-executive employees at ABC Company, this research offers critical insights to policymakers and HR practitioners in Sri Lanka's automotive industry. In addition, It emphasizes the need for an integrated supervisor support strategy, career development-focused work-life balance activities, and targeted training programs to enhance staff retention. However, there are some limitations in the exclusion of other possible influential factors like peer behaviors and leadership, limitation to a single firm, and quantitative measures that cannot capture the perceptions of the employees. Future studies can include extension to more firms and inclusion of more variables including mediating and moderating variables.