The role of voluntary employee turnover (VET) in textile industry has significance in this era over the globe. Textile industry is labour intensive with similar to agriculture industry in Pakistan and it has excessive VET as compared to other industries. Pakistan’s textile products are high quality and much exploit in the world. It contributes in economic growth with 8.5% share in GDP. This industry mainly based on domestic labour and major portion of cost includes in the textile garment product is labour cost. Due to increasing voluntary employee turnover the additional expenses beard by textile mill owners such as recruitment cost, overtime cost and training cost etc. now the employer keen to cut cost and increase production efficiency. According to Pfeiffer (2005) ‘’voluntary employee turnover is most studied outcome in organizational research’’ under discussion study will rotates around core issue of different reasons or factors effecting intensions of employee to leave the job. To address this issue couple of relevant theories and models has been used in literature to ascertain the theoretical knowledge and industry practices to determine the said problem and its rectifications. Organizational equilibrium theory, met expectancy theory, linkage model of turnover, unfolding model of turnover and Embeddedness theory have been studied in this regard and comparative analysis has done on bases of data gathering from the industry. In order to get unbiased response we have collected data from both sources primary and secondary. For primary data we design a web based questionnaire to get information from textile employees and also we conduct two interviews with HR Executives in selected companies to know about management perspective about VET. Interview was structured in nature. You can find sample questionnaire and interview in appendix also. Number of articles and published material on subject matter has been studies as secondary source. Feedback through questionnaire based on factors influence on VET identify in literature. We used likert scale for measurement of answers in questionnaire. Our conclusion and recommendations with connection to our analysis and we found that biases also exist in labour market on behalf of relationships and same geographic backgrounds.