工作分析
心理信息
工作表现
多样性(政治)
心理学
工作态度
基础(证据)
透视图(图形)
文档
工作特征理论
工作设计
资源(消歧)
人力资源管理
产业与组织心理学
应用心理学
社会心理学
知识管理
工作满意度
计算机科学
社会学
梅德林
政治学
计算机网络
人工智能
人类学
法学
程序设计语言
作者
Nicole Strah,Deborah E. Rupp
摘要
Job analysis forms the foundation for accurate, fair, and legally appropriate human resource systems. However, the notion that personnel practices provide fair opportunities, if they are based on systematically collected job analysis data, relies on the assumption that job analysis accurately captures the essence of jobs as they exist for all individuals. This integrative conceptual review provides a framework that integrates the diversity and job analysis literatures, finding that: (a) employees from different demographic groups can have unique yet predictable work experiences and (b) issues and biases in gathering and reporting job analysis data may cloud the documentation of diverse work experiences and perspectives. The conclusions of this review pose implications for both research and practice as we consider the extent to which job analysis may fail to capture wide and inclusive conceptualizations of successful job performance. If job analyses can be approached in a way that facilitates the collection of diverse perspectives, the inclusiveness of HR systems built-off job analyses can be improved, and job analyses can be positioned as a tool for detecting if employees from different demographic groups are assigned objectively different tasks or subjected to different expectations. Our theoretical perspective offers a promising means to understand the experience of work across various groups of employees through job analysis and mitigate (likely unintentional) discrimination that can be facilitated by one of our field's most foundational tools. It also suggests a new and important area of research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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