Font Size: a A A

Study On The Influencing Factors Of The Front-line Employees' Turnover In Manufacturing Enterprise

Posted on:2021-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:J M MaFull Text:PDF
GTID:2439330623467461Subject:Business Administration
Abstract/Summary:PDF Full Text Request
For manufacturing enterprises,the front-line employee is the determinative factor to guarantee the quality and quantity of products,which also has a great impact on the enterprise's survival and development.In order to improve the front-line employee satisfaction and decrease the turnover rate,the paper focuses on the research and analysis of the key influence factors of the front-line employee's turnover and establishes a model for forecasting the job mobility.It would be helpful for the management of manufactory enterprises.The paper mainly discusses from the following aspects: Firstly,the existing domestic and foreign factors influencing turnover intention are studied and summarized,then taking Y Company as an example,the reasons are analyzed for the annual turnover of employees in Y Company from 2010 to 2018.Throughout visiting employees and communicating with many human resource managers,combining with more than ten years' experience in human resource management,we summarizes the influencing factors on the turnover intention of front-line employees in manufacturing enterprises.Secondly,by summarizing and analyzing the existing relevant research results about turnover at home and abroad,combined with the interview results and practical experience,a prediction model of the reasons for the turnover intention of the front-line employees in manufacturing enterprises is built.Salary and welfare,working hours and workload,enterprise environment factors,training of employees' operating skills,family and relatives' responsibilities,relationship between colleagues and job routinization are taken as independent variables in this model.Job satisfaction is taken as intervening variable and turnover intention as dependent variable.Then,by referring to some mature scales in the field of turnover and combining with practical experience,the study revises and puts forward a questionnaire suitable for front-line employees.The paper uses statistical software SPSS19.0 to conduct basic descriptive statistics analysis,correlation analysis and regression analysis,and the proposed model was verified and modified.According to the data analysis,it is concluded that: Working hours and workloads,enterprise environment factors,training of employees' operating skills are positively correlated with salary and welfare;Salary and welfare,working hours and workload,enterprise environment,training of employees' operating skills,family and relatives' responsibilities,relationship between colleagues are positively correlated with job satisfaction,and job routinization is negatively correlated with job satisfaction;Job satisfaction plays an intermediary role in the influence of all independent variables on turnover intention.Job satisfaction is negatively correlated with turnover intention.What's more,the correlation coefficient between salary and welfare and job satisfaction is the highest,which has a good explanation for turnover intention,and provides a certain way of thinking and direction for solving the turnover issue of the front-line employees.Based on the above conclusions,some suggestions for manufacturing enterprises are put forward : improve the compensation and welfare system;establish a good environment;do better in recruitment and induction training for new employees,improve employees' operation skills,emphasize the management of their relations and so on.Applicable to the management of front-line employees in manufacturing enterprises,this research can stabilize the workforce and promote the long-term stable development of those enterprises.However,the research is limited personal knowledge and certain objective conditions.And some problems need to be solved in the future are put forward.
Keywords/Search Tags:Front-line employees, Salary and welfare, Job satisfaction, Turnover Intention, Turnover rate
PDF Full Text Request
Related items