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互联网行业员工工作满意度研究--基于员工在线评论的数据分析 被引量:1

Study on Job Satisfaction of Internet Industry Employees:Data Analysis Based on Employee Online Reviews
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摘要 运用python语言编程软件,收集自2013年以来尤其是2016年以后看准网上员工评论的客观数据,爬取到95693条员工工作满意度的在线评论,并从技能培训、职位晋升、薪酬绩效、福利待遇等12个维度,分析互联网行业员工工作满意度及其主要影响因素。研究结果表明,和其他行业相比,互联网行业员工工作满意度总体水平较高,在16个常见行业中排名第二;在12个维度中,文化氛围、技能培训、公司状况等满意度排名靠前,工作强度、薪酬绩效和员工结构等满意度排名靠后。据此,建议互联网公司设置合理的工作内容及规范工作时间、设计科学合理的薪酬制度、降低核心员工流失率。 Based on the objective data of online employee reviews since 2013,especially those after 2016,data of 95,693 online employees reviews on job satisfaction are collected by the software Python.This paper analyzes job satisfaction of employees in the Internet industry and main influencing factors from 12 dimensions including skill training,promotion,salary performance,benefits and so on.The research shows that,compared with other industries,the job satisfaction of employees in the Internet industry is higher,raking second in 16 common industries.As to 12 dimensions,satisfaction on cultural atmosphere,skill training and company condition ranks high while that on intensity of work,salary performance and employee structure ranks low.Accordingly,it is recommended that Internet companies set up reasonable working content,standardize working hours,design a scientific salary system to reduce turnover rate of core employees.
作者 王辉 岳佳欣 WANG Hui;YUE Jiaxin(School of Business,Xiangtan University,Xiangtan Hunan 411105,China)
机构地区 湘潭大学商学院
出处 《湖南工业大学学报(社会科学版)》 2020年第6期71-79,共9页 Journal of Hunan University of Technology(Social Science Edition)
关键词 互联网行业 工作满意度 员工网络在线评论 人力资源管理 Internet industry job satisfaction employee online reviews human resources management
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