{"title":"The ethical implications of big data in human resource management","authors":"Laxmikant Manroop , Amina Malik , Morgan Milner","doi":"10.1016/j.hrmr.2024.101012","DOIUrl":null,"url":null,"abstract":"<div><p><span>This article examines the ethical implications of big data in human resource management (HRM) practices, specifically in the areas of recruitment and selection, training and development, performance management, compensation, and employee retention. The article commences with a characterization of big data applications in HRM processes and practices, highlighting their benefits and value for the management of the workforce. It also shows how the application of big data analytics can put employees at great risk through institutional surveillance and other algorithmic manipulation practices such as profiling, coercion and control. Our theorizing </span><em>advances the HRM and ethics literatures by offering a more expanded and nuanced view of the significant ethical challenges specific to individual HR practices.</em> Additionally, our analysis brings ethics into the domain of HRM by problematizing the exploitation of employee information through digital technology for corporate gain. In so doing, it employs a moral principles framework to show how BDA - HRM practices can compromise employees' rights to privacy, confidentiality, transparency, and protection. <em>Our analysis also raises concerns shared by both the practitioner and scholarly communities that are yet to be addressed and offers recommendations for research and practice.</em></p></div>","PeriodicalId":48145,"journal":{"name":"Human Resource Management Review","volume":null,"pages":null},"PeriodicalIF":8.2000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Resource Management Review","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053482224000020","RegionNum":1,"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 article examines the ethical implications of big data in human resource management (HRM) practices, specifically in the areas of recruitment and selection, training and development, performance management, compensation, and employee retention. The article commences with a characterization of big data applications in HRM processes and practices, highlighting their benefits and value for the management of the workforce. It also shows how the application of big data analytics can put employees at great risk through institutional surveillance and other algorithmic manipulation practices such as profiling, coercion and control. Our theorizing advances the HRM and ethics literatures by offering a more expanded and nuanced view of the significant ethical challenges specific to individual HR practices. Additionally, our analysis brings ethics into the domain of HRM by problematizing the exploitation of employee information through digital technology for corporate gain. In so doing, it employs a moral principles framework to show how BDA - HRM practices can compromise employees' rights to privacy, confidentiality, transparency, and protection. Our analysis also raises concerns shared by both the practitioner and scholarly communities that are yet to be addressed and offers recommendations for research and practice.
期刊介绍:
The Human Resource Management Review (HRMR) is a quarterly academic journal dedicated to publishing scholarly conceptual and theoretical articles in the field of human resource management and related disciplines such as industrial/organizational psychology, human capital, labor relations, and organizational behavior. HRMR encourages manuscripts that address micro-, macro-, or multi-level phenomena concerning the function and processes of human resource management. The journal publishes articles that offer fresh insights to inspire future theory development and empirical research. Critical evaluations of existing concepts, theories, models, and frameworks are also encouraged, as well as quantitative meta-analytical reviews that contribute to conceptual and theoretical understanding.
Subject areas appropriate for HRMR include (but are not limited to) Strategic Human Resource Management, International Human Resource Management, the nature and role of the human resource function in organizations, any specific Human Resource function or activity (e.g., Job Analysis, Job Design, Workforce Planning, Recruitment, Selection and Placement, Performance and Talent Management, Reward Systems, Training, Development, Careers, Safety and Health, Diversity, Fairness, Discrimination, Employment Law, Employee Relations, Labor Relations, Workforce Metrics, HR Analytics, HRM and Technology, Social issues and HRM, Separation and Retention), topics that influence or are influenced by human resource management activities (e.g., Climate, Culture, Change, Leadership and Power, Groups and Teams, Employee Attitudes and Behavior, Individual, team, and/or Organizational Performance), and HRM Research Methods.