{"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}
引用次数: 0
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.
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.