{"title":"People Analytics and Human Resource Development – Research Landscape and Future Needs Based on Bibliometrics and Scoping Review","authors":"Seung Won Yoon, Seung-hyun Han, Chungil Chae","doi":"10.1177/15344843231209362","DOIUrl":null,"url":null,"abstract":"This study provides a comprehensive examination of the current research landscape of People Analytics (PA) from Human Resource Development (HRD) perspectives. By leveraging the methodologies of bibliometrics and topic modeling, the paper aims to illuminate key trends and emerging themes. By conducting a comparative analysis of topics and grouped themes from topic modeling and clusters from bibliocoupling, the study reveals a convergence in research focuses. This convergence is particularly evident in areas such as workforce planning and management, data-informed decision-making, applying analytics to various HR functions, and emphasizing the ethical and societal implications of data analytics in HR. The paper also identifies gaps and future research needs for HRD research in the current PA landscape and discusses fertile grounds for future research.","PeriodicalId":51474,"journal":{"name":"Human Resource Development Review","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Development Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15344843231209362","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
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Abstract
This study provides a comprehensive examination of the current research landscape of People Analytics (PA) from Human Resource Development (HRD) perspectives. By leveraging the methodologies of bibliometrics and topic modeling, the paper aims to illuminate key trends and emerging themes. By conducting a comparative analysis of topics and grouped themes from topic modeling and clusters from bibliocoupling, the study reveals a convergence in research focuses. This convergence is particularly evident in areas such as workforce planning and management, data-informed decision-making, applying analytics to various HR functions, and emphasizing the ethical and societal implications of data analytics in HR. The paper also identifies gaps and future research needs for HRD research in the current PA landscape and discusses fertile grounds for future research.
期刊介绍：
As described elsewhere, Human Resource Development Review is a theory development journal for scholars of human resource development and related disciplines. Human Resource Development Review publishes articles that make theoretical contributions on theory development, foundations of HRD, theory building methods, and integrative reviews of the relevant literature. Papers whose central focus is empirical findings, including empirical method and design are not considered for publication in Human Resource Development Review. This journal encourages submissions that provide new theoretical insights to advance our understanding of human resource development and related disciplines. Such papers may include syntheses of existing bodies of theory, new substantive theories, exploratory conceptual models, taxonomies and typology developed as foundations for theory, treatises in formal theory construction, papers on the history of theory, critique of theory that includes alternative research propositions, metatheory, and integrative literature reviews with strong theoretical implications. Papers addressing foundations of HRD might address philosophies of HRD, historical foundations, definitions of the field, conceptual organization of the field, and ethical foundations. Human Resource Development Review takes a multi-paradigm view of theory building so submissions from different paradigms are encouraged.
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