“Aging-and-Tech Job Vulnerability”: A proposed framework on the dual impact of aging and AI, robotics, and automation among older workers

作者：Carlos María Alcover de la Hera, Dina Guglielmi, Marco Depolo, Greta Mazzetti · 发表于：Organizational Psychology Review · 年份：2021 · DOI：10.1177/2041386621992105 · 被引用次数：87 · 研究领域：Retirement, Disability, and Employment、Employment and Welfare Studies、Digital Economy and Work Transformation

As the aging population and workforce constitute a worldwide concern, it is becoming necessary to predict how the dual threat of aging and technology at work increases the job vulnerability of older workers and jeopardizes their employability and permanence in the labor market. The objective of this paper is twofold: (1) to analyze perceptions of artificial intelligence, robotics, and automation in work settings and the expected impact of these technologies on older workers to contextualize this emergent phenomenon; and (2) to propose a general model related to “Aging-and-Tech Job Vulnerability” to explain and predict the combined effect of aging and AI/robotics/automation on job insecurity and additional outcomes among older workers. The propositions of the Age-and-Tech Job Vulnerability model developed in this paper seek to present a first approach for the conceptual advance and research on this emerging phenomenon and entails several theoretical and practical implications for organizational psychology.