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基于因子分析的高校工会离退休服务满意度评价的研究 被引量:1

Study on the Satisfaction Evaluation of Retirement Service of College Trade Union Based on Factor Analysis
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摘要 在物联网大数据时代下,为及时反馈广大教职工对工会服务内容、服务方式等方面提出的新的个性与共性的需求,工会理论研究者从互联网+服务平台建设、工会大数据应用、创新创业等角度出发提供了良好的建议和理念;笔者通过前期调研发现高校离退休服务管理工作面临诸多疑惑和难点,亟待提供新思路新方式破解难题。笔者筛选出15项具体指标展开较为广泛而又细致的调查,采用因子分析法力图找出广大离退休职工迫切关心而又急需得到改善的相关服务,深入研究剖析问题内外因,提出科学依据和改善路径,促进整体满意度的提升。 In the era of big data of the Internet of things,in order to timely feedback the new demands of individuality and commonness of the staff and staff on the service content and service mode of the trade union,the theoretical researchers of the trade union provide good Suggestions and ideas from the perspectives of the construction of the Internet+service platform,the application of big data of the trade union,and innovation and entrepreneurship.Through the preliminary investigation,the author found that the retirement service management in colleges and universities is facing many doubts and difficulties,and it is urgent to provide new ideas and methods to solve the problems.The author selects 15 specific indicators to carry out extensive and detailed investigation,and USES factor analysis method to try to find out the relevant services that are urgently concerned by retired workers and in urgent need of improvement,deeply studies and analyzes the internal and external causes of problems,proposes scientific basis and improvement path,and promotes the improvement of overall satisfaction.
作者 孙龙杰 凌文惠 SUN Long-jie;LING Wen-hui(Library,Shanghai University of Medicine and Health Sciences,Shanghai,201318;Trade Unions,Shanghai University of Medicine and Health Sciences,Shanghai,201318)
出处 《软件》 2019年第11期89-93,共5页 Software
基金 2019年度上海市教育系统工会理论研究会立项课题(项目编号:2019GHL35) CALIS全国医学文献信息中心2019年科研基金项目(项目编号:22)成果之一
关键词 互联网+ 大数据应用 因子分析 服务评价 Internet+ Big data application Factor analysis Service evaluation
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