衡阳市国有企业员工职业倦怠及影响因素研究
发布时间：2018-09-05 20:16
【摘要】：目的:了解衡阳市国有企业员工职业倦怠现状及其影响因素。为今后国有企业员工职业倦态的干预提供依据。 方法:采用多阶抽样的方法，先分层再整群抽样后随机抽样的原则对衡阳市4所企业部分员工进行了职业倦怠及其影响因素的问卷调查，职业倦怠的影响因素的单因素分析运用秩和检验及简单相关方法分析；多因素分析采用多元线性回归。 结果:衡阳市国有企业员工从三个维度的重度职业倦怠发生率分别为EE（29.1%），DP（68.3%），PA（92.1%）；企业职工在职业倦态的三个维度的表现为;EE得分中位数为21，为中度倦怠水平，，DP和PA得分中位数分别为11和20，为重度倦怠水平。职业倦态的单因素分析结果显示；男性员工的倦怠在DP维度上高于女性员工且差异存在显著性(P㩳0.05)；4个年龄段职业倦态在PA,DP两个维度差别有统计学意义(P0.05),不同婚姻状况在EE和PA两个维度职业倦态的得分差异均有统计学意义(P㩳0.05)；不同文化程度的员工在EE和PA两个维度上职业倦怠得分差异有统计学意义(P㩳0.05)；不同的工作年限的员工组，在职业倦怠的三个维度的得分差异也都有统计学意义(P㩳0.05)；不同的职称员工组，在职业倦怠EE维度和DP维度两个得分上有差异和统计学意义(P㩳0.05)；不同工种在EE和DP两个维度职业倦怠得分差别均有统计学意义(P0.05)；不同用工性质在三个维度职业倦怠得分差别均有统计学意义(P 0.05)，编制外合同工在情感衰竭（EE）和去人性化（DP）两个维度职业倦怠要高于编制内员工;是否独生子女在三个维度职业得分差别均有统计学意义(P 0.05)；不同的年收入在三个维度职业倦怠得分差别上均有统计学意义(P 0.05)；企业员工的个人收入水平在职业倦怠三个维度上的得分差异均无统计学意义（P㧐0.05）；不同的福利待遇的国有企业员工职业倦怠在EE和PA两个维度上得分差别上均有统计学意义(P0.05)。 压力源与职业倦怠的相关性显示，专业工作总分与EE之间存在正相关(P0.05),与PA存在负相关(P0.05)；工作量总分与EE之间存在正相关(P0.05),与PA存在负相关(P0.05)；工作环境总分与PA存在负相关(P0.05)；员工工作总分与EE和DP之间存在正相关(P0.05)；管理总分与EE和DP之间存在正相关(P0.05)，与PA存在负相关(P0.05)。 多因素分析结果显示，对职业倦态EE维度产生影响的变量为用工性质，年龄、性别、婚姻状况、文化程度、是否独生子女、累计工作年限、年收入情况、职称、目前为你办理保险的是、工作量总分、工作环境总分、管理总分；职业倦态DP维度产生影响的变量为婚姻状况、是否独生子女、年龄、职称、年收入情况、目前为你办理保险的是、管理总分；对职业倦态PA维度产生影响的变量为性别、婚姻状况、是否独生子女、年收入情况、是否以企业收入为主要经济来源、专业工作总分、工作环境总分、员工工作总分管理总分。 结论:衡阳市国有企业职业倦怠发生率高，特别是个人成就感方面重度倦怠率高达92.1%；国有企业职工的压力水平介于一般与较高之间。性别、用工性质、工种、婚姻状况、文化程度、工作年限，职称、年龄，及压力状况等是职业倦怠的重要影响变量。国有企业职工压力越大，职业倦态程度越高，它们之间存在正相关。
[Abstract]:Objective: To investigate the status and influencing factors of job burnout among employees of state-owned enterprises in Hengyang City, and to provide evidence for the intervention of job burnout among employees of state-owned enterprises in the future.
Methods: Using the method of multi-stage sampling, a questionnaire survey on job burnout and its influencing factors was carried out among some employees of four enterprises in Hengyang City, based on the principle of stratified and cluster sampling. Return.
Results: The incidence of severe job burnout was EE (29.1%), DP (68.3%) and PA (92.1%) in Hengyang state-owned enterprises, and the three dimensions of job burnout were EE (29.1%), DP (68.3%) and PA (92.1%). The results of factor analysis showed that the burnout of male employees was higher than that of female employees in DP dimension and the difference was significant (P?0.05); the burnout of four age groups was significantly different in PA and DP dimension (P 0.05), and the scores of different marital status in EE and PA dimension were statistically significant (P?0.05). There were significant differences in EE and P A dimensions of job burnout scores among the educated employees (P?0.05); there were also significant differences in the three dimensions of job burnout scores among the employees with different working years (P?0.05); there were differences in EE dimensions and DP dimensions of job burnout scores among the employees with different professional titles (P?0.05). Statistical significance (P? 0.05); different types of work in EE and DP dimensions of job burnout scores were statistically significant (P Employees; whether the only child in the three dimensions of occupational scores were statistically significant (P 0.05); different annual income in the three dimensions of occupational burnout scores were statistically significant (P 0.05); personal income level of employees in the three dimensions of occupational burnout scores were not statistically significant (P?0.05); There were significant differences in EE and PA scores of job burnout among employees of state-owned enterprises with the same welfare benefits (P 0.05).
The correlation between stress source and job burnout showed that there was a positive correlation between professional job score and EE (P 0.05), a negative correlation between professional job score and PA (P 0.05), a positive correlation between total workload score and EE (P 0.05), and a negative correlation between PA (P 0.05), a negative correlation between total work environment score and PA (P 0.05), and a positive correlation between total work score and EE and DP (P 0.05). Guan (P0.05); there was a positive correlation between the total score of management and EE and DP (P0.05), and negatively correlated with PA (P0.05).
Multivariate analysis showed that the variables influencing the EE dimension of occupational fatigue were employment nature, age, sex, marital status, educational level, whether only child, cumulative length of work, annual income, professional title. At present, the total workload score, total work environment score and total management score were all affected by the DP dimension of occupational fatigue. Sound variables for marital status, whether the only child, age, professional title, annual income, for you to deal with insurance is now, the management of total score; on the PA dimension of job burnout impact variables for gender, marital status, whether the only child, annual income, whether the main source of income, professional work total score, working environment Total score, total staff management score.
Conclusion: The incidence of job burnout in Hengyang state-owned enterprises is high, especially in the aspect of personal accomplishment. The level of stress in state-owned enterprises is between the general level and the high level. The higher the pressure of employees in state-owned enterprises and the higher the degree of job fatigue, there is a positive correlation between them.
【学位授予单位】：南华大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R13
本文编号：2225352
[Abstract]:Objective: To investigate the status and influencing factors of job burnout among employees of state-owned enterprises in Hengyang City, and to provide evidence for the intervention of job burnout among employees of state-owned enterprises in the future.
Methods: Using the method of multi-stage sampling, a questionnaire survey on job burnout and its influencing factors was carried out among some employees of four enterprises in Hengyang City, based on the principle of stratified and cluster sampling. Return.
Results: The incidence of severe job burnout was EE (29.1%), DP (68.3%) and PA (92.1%) in Hengyang state-owned enterprises, and the three dimensions of job burnout were EE (29.1%), DP (68.3%) and PA (92.1%). The results of factor analysis showed that the burnout of male employees was higher than that of female employees in DP dimension and the difference was significant (P?0.05); the burnout of four age groups was significantly different in PA and DP dimension (P 0.05), and the scores of different marital status in EE and PA dimension were statistically significant (P?0.05). There were significant differences in EE and P A dimensions of job burnout scores among the educated employees (P?0.05); there were also significant differences in the three dimensions of job burnout scores among the employees with different working years (P?0.05); there were differences in EE dimensions and DP dimensions of job burnout scores among the employees with different professional titles (P?0.05). Statistical significance (P? 0.05); different types of work in EE and DP dimensions of job burnout scores were statistically significant (P Employees; whether the only child in the three dimensions of occupational scores were statistically significant (P 0.05); different annual income in the three dimensions of occupational burnout scores were statistically significant (P 0.05); personal income level of employees in the three dimensions of occupational burnout scores were not statistically significant (P?0.05); There were significant differences in EE and PA scores of job burnout among employees of state-owned enterprises with the same welfare benefits (P 0.05).
The correlation between stress source and job burnout showed that there was a positive correlation between professional job score and EE (P 0.05), a negative correlation between professional job score and PA (P 0.05), a positive correlation between total workload score and EE (P 0.05), and a negative correlation between PA (P 0.05), a negative correlation between total work environment score and PA (P 0.05), and a positive correlation between total work score and EE and DP (P 0.05). Guan (P0.05); there was a positive correlation between the total score of management and EE and DP (P0.05), and negatively correlated with PA (P0.05).
Multivariate analysis showed that the variables influencing the EE dimension of occupational fatigue were employment nature, age, sex, marital status, educational level, whether only child, cumulative length of work, annual income, professional title. At present, the total workload score, total work environment score and total management score were all affected by the DP dimension of occupational fatigue. Sound variables for marital status, whether the only child, age, professional title, annual income, for you to deal with insurance is now, the management of total score; on the PA dimension of job burnout impact variables for gender, marital status, whether the only child, annual income, whether the main source of income, professional work total score, working environment Total score, total staff management score.
Conclusion: The incidence of job burnout in Hengyang state-owned enterprises is high, especially in the aspect of personal accomplishment. The level of stress in state-owned enterprises is between the general level and the high level. The higher the pressure of employees in state-owned enterprises and the higher the degree of job fatigue, there is a positive correlation between them.
【学位授予单位】：南华大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R13
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