Kai Inga Liehr Storm , Lea Katharina Reiss , Elisabeth Anna Guenther , Maria Clar-Novak , Sara Louise Muhr
{"title":"Unconscious bias in the HRM literature: Towards a critical-reflexive approach","authors":"Kai Inga Liehr Storm , Lea Katharina Reiss , Elisabeth Anna Guenther , Maria Clar-Novak , Sara Louise Muhr","doi":"10.1016/j.hrmr.2023.100969","DOIUrl":null,"url":null,"abstract":"<div><p>This article presents a systematic review of the human resource management (HRM) literature to document how the term “unconscious bias” is defined, theorized, and operationalized in a sample of 518 articles in the field. The review identifies four main thematic streams in which unconscious bias is commonly discussed: (1) the biased individual; (2) bias as binary; (3) bias in moments of decisions; and (4) bias as a fixable issue. Based on this thematic mapping of the literature, a critical-reflexive approach is outlined to shed light on and challenge taken-for-granted assumptions, interrogate how arguments are brought forth and open up new avenues for future research. This article contributes to the existing HRM literature in three ways. First, it shows patterns in existing theory, making explicit the inconsistencies and tacit assumptions in the ways in which unconscious bias is theorized in HRM research. Second, it presents a critical-reflexive approach to researching unconscious bias. Third, based on this approach, it suggests avenues for future research on how to move beyond these inconsistencies and assumptions.</p></div>","PeriodicalId":48145,"journal":{"name":"Human Resource Management Review","volume":"33 3","pages":"Article 100969"},"PeriodicalIF":8.2000,"publicationDate":"2023-09-01","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/S1053482223000207","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 presents a systematic review of the human resource management (HRM) literature to document how the term “unconscious bias” is defined, theorized, and operationalized in a sample of 518 articles in the field. The review identifies four main thematic streams in which unconscious bias is commonly discussed: (1) the biased individual; (2) bias as binary; (3) bias in moments of decisions; and (4) bias as a fixable issue. Based on this thematic mapping of the literature, a critical-reflexive approach is outlined to shed light on and challenge taken-for-granted assumptions, interrogate how arguments are brought forth and open up new avenues for future research. This article contributes to the existing HRM literature in three ways. First, it shows patterns in existing theory, making explicit the inconsistencies and tacit assumptions in the ways in which unconscious bias is theorized in HRM research. Second, it presents a critical-reflexive approach to researching unconscious bias. Third, based on this approach, it suggests avenues for future research on how to move beyond these inconsistencies and assumptions.
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.