Md. Nazmus Sakib, Shah Ridwan Chowdhury, Mohammad Younus, Nehad Laila Sanju, Farhana Foysal Satata, Mahafuza Islam
{"title":"How HR analytics evolved over time: a bibliometric analysis on Scopus database","authors":"Md. Nazmus Sakib, Shah Ridwan Chowdhury, Mohammad Younus, Nehad Laila Sanju, Farhana Foysal Satata, Mahafuza Islam","doi":"10.1186/s43093-024-00375-9","DOIUrl":null,"url":null,"abstract":"<p>Over the last decade, human resource (HR) analytics has been widely discussed in the landscape of human resource management due to its dynamic capacity to transform into a data-driven decision-making system for optimizing workforce management. The aim of this paper is to provide a comprehensive summary of the emerging trends and themes of HR analytics drawn from previous literature and offer valuable insight into academia, researchers, practitioners, and policymakers. This paper employs a bibliometric methodology while using RStudio, Biblioshiny, and VOSviewer tools to collect and analyze 102 articles from the Scopus database from January 2008 to September 2023. The findings of the paper reveal current state-of-the-art research in the HR analytics domain while exploring key themes and areas for further study. This study offers practical guidelines for policymakers and contributes to the existing knowledge domain of HR analytics.</p>","PeriodicalId":44859,"journal":{"name":"Future Business Journal","volume":"9 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Business Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s43093-024-00375-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
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Abstract
Over the last decade, human resource (HR) analytics has been widely discussed in the landscape of human resource management due to its dynamic capacity to transform into a data-driven decision-making system for optimizing workforce management. The aim of this paper is to provide a comprehensive summary of the emerging trends and themes of HR analytics drawn from previous literature and offer valuable insight into academia, researchers, practitioners, and policymakers. This paper employs a bibliometric methodology while using RStudio, Biblioshiny, and VOSviewer tools to collect and analyze 102 articles from the Scopus database from January 2008 to September 2023. The findings of the paper reveal current state-of-the-art research in the HR analytics domain while exploring key themes and areas for further study. This study offers practical guidelines for policymakers and contributes to the existing knowledge domain of HR analytics.
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