心理健康通过人力资源分析:调查员工的支持框架

IF 3.3 3区 管理学 Q1 INDUSTRIAL RELATIONS & LABOR Personnel Review Pub Date : 2023-10-13 DOI:10.1108/pr-11-2022-0836
Remya Lathabhavan
{"title":"心理健康通过人力资源分析:调查员工的支持框架","authors":"Remya Lathabhavan","doi":"10.1108/pr-11-2022-0836","DOIUrl":null,"url":null,"abstract":"Purpose Organisations are increasingly adopting and adapting to technological advancements to stay relevant in the era of intense competition. Simultaneously, employee mental well-being has become a prominent global concern affecting people across various demographics. With this in mind, the present study explores the influence of human resource (HR) analytics, mental health organisational evidence-based management (OEBM) and organisational mental health support on the mental well-being of employees. Additionally, the study examines the moderating effects of manager and peer support on the association between organisational mental health support and the mental well-being of employees. Design/methodology/approach Data were collected from 418 employees in India and structural equation modelling was performed to analyse the data. Findings The study found significant positive associations between HR analytics with mental health OEBM, organisational mental health support and mental well-being. Mental health OEBM was also found to be positively related to organisational mental health support and mental well-being. The moderating roles of manager and team support were also found to be significant in the associations between organisational mental health support and well-being. Originality/value The study showed that HR analytics is a valuable source of mental health data. This data can facilitate the development of evidence-based management (EBM) strategies to promote the mental well-being of employees.","PeriodicalId":48148,"journal":{"name":"Personnel Review","volume":"234 1","pages":"0"},"PeriodicalIF":3.3000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mental well-being through HR analytics: investigating an employee supportive framework\",\"authors\":\"Remya Lathabhavan\",\"doi\":\"10.1108/pr-11-2022-0836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose Organisations are increasingly adopting and adapting to technological advancements to stay relevant in the era of intense competition. Simultaneously, employee mental well-being has become a prominent global concern affecting people across various demographics. With this in mind, the present study explores the influence of human resource (HR) analytics, mental health organisational evidence-based management (OEBM) and organisational mental health support on the mental well-being of employees. Additionally, the study examines the moderating effects of manager and peer support on the association between organisational mental health support and the mental well-being of employees. Design/methodology/approach Data were collected from 418 employees in India and structural equation modelling was performed to analyse the data. Findings The study found significant positive associations between HR analytics with mental health OEBM, organisational mental health support and mental well-being. Mental health OEBM was also found to be positively related to organisational mental health support and mental well-being. The moderating roles of manager and team support were also found to be significant in the associations between organisational mental health support and well-being. Originality/value The study showed that HR analytics is a valuable source of mental health data. This data can facilitate the development of evidence-based management (EBM) strategies to promote the mental well-being of employees.\",\"PeriodicalId\":48148,\"journal\":{\"name\":\"Personnel Review\",\"volume\":\"234 1\",\"pages\":\"0\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Personnel Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/pr-11-2022-0836\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personnel Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/pr-11-2022-0836","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 0

摘要

组织越来越多地采用和适应技术进步,以在激烈竞争的时代保持相关性。与此同时,员工的心理健康已经成为全球关注的一个突出问题,影响着各种人口统计数据。基于此,本研究探讨了人力资源(HR)分析、心理健康组织循证管理(OEBM)和组织心理健康支持对员工心理健康的影响。此外,本研究还考察了管理者和同伴支持对组织心理健康支持与员工心理健康之间关系的调节作用。设计/方法/方法从印度的418名员工中收集数据,并进行结构方程建模来分析数据。研究发现人力资源分析与心理健康OEBM、组织心理健康支持和心理健康之间存在显著的正相关。心理健康OEBM还被发现与组织心理健康支持和心理健康呈正相关。管理者和团队支持的调节作用在组织心理健康支持和幸福感之间的关联中也显着。独创性/价值研究表明,人力资源分析是心理健康数据的宝贵来源。这些数据可以促进循证管理(EBM)策略的发展,以促进员工的心理健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Mental well-being through HR analytics: investigating an employee supportive framework
Purpose Organisations are increasingly adopting and adapting to technological advancements to stay relevant in the era of intense competition. Simultaneously, employee mental well-being has become a prominent global concern affecting people across various demographics. With this in mind, the present study explores the influence of human resource (HR) analytics, mental health organisational evidence-based management (OEBM) and organisational mental health support on the mental well-being of employees. Additionally, the study examines the moderating effects of manager and peer support on the association between organisational mental health support and the mental well-being of employees. Design/methodology/approach Data were collected from 418 employees in India and structural equation modelling was performed to analyse the data. Findings The study found significant positive associations between HR analytics with mental health OEBM, organisational mental health support and mental well-being. Mental health OEBM was also found to be positively related to organisational mental health support and mental well-being. The moderating roles of manager and team support were also found to be significant in the associations between organisational mental health support and well-being. Originality/value The study showed that HR analytics is a valuable source of mental health data. This data can facilitate the development of evidence-based management (EBM) strategies to promote the mental well-being of employees.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Personnel Review
Personnel Review Multiple-
CiteScore
7.10
自引率
7.70%
发文量
133
期刊介绍: Personnel Review (PR) publishes rigorous, well written articles from a range of theoretical and methodological traditions. We value articles that have high originality and that engage with contemporary challenges to human resource management theory, policy and practice development. Research that highlights innovation and emerging issues in the field, and the medium- to long-term impact of HRM policy and practice, is especially welcome.
期刊最新文献
Mentoring global talent: an integrative review Fighting fear: the buffering of well-being-HRM on the effects of nurses’ fear of COVID-19 on job stress and patient care A temporal evolution of human resource management and technology research: a retrospective bibliometric analysis Effects of performance appraisal on employees’ extra-role behaviors and turnover intentions – A parallel mediation model Artificial intelligence-based virtual assistant and employee engagement: an empirical investigation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1