{"title":"Artificial Intelligence and Automation in Human Resource Development: A Systematic Review","authors":"Kelechi Ekuma","doi":"10.1177/15344843231224009","DOIUrl":null,"url":null,"abstract":"This systematic review synthesizes the existing literature on the impact of artificial intelligence (AI) and automation on Human Resource Development (HRD) practices and outcomes. The study explores how AI and automation affect HRD, highlighting specific HRD processes affected and their influence on outcomes. A comprehensive search was conducted across academic databases, HRD journals, and conference proceedings, resulting in a selection of relevant studies. The findings were analyzed through a narrative synthesis, with subgroup analyses based on specific HRD processes. The review provides insights into AI and automation implications for HRD researchers and practitioners. It also identifies research gaps and future directions.","PeriodicalId":51474,"journal":{"name":"Human Resource Development Review","volume":"22 3","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Development Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/15344843231224009","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
This systematic review synthesizes the existing literature on the impact of artificial intelligence (AI) and automation on Human Resource Development (HRD) practices and outcomes. The study explores how AI and automation affect HRD, highlighting specific HRD processes affected and their influence on outcomes. A comprehensive search was conducted across academic databases, HRD journals, and conference proceedings, resulting in a selection of relevant studies. The findings were analyzed through a narrative synthesis, with subgroup analyses based on specific HRD processes. The review provides insights into AI and automation implications for HRD researchers and practitioners. It also identifies research gaps and future directions.
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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