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Navigating career stages in the age of artificial intelligence: A systematic interdisciplinary review and agenda for future research
Journal of Vocational Behavior ( IF 5.2 ) Pub Date : 2024-06-27 , DOI: 10.1016/j.jvb.2024.104011 Sarah Bankins , Stefan Jooss , Simon Lloyd D. Restubog , Mauricio Marrone , Anna Carmella Ocampo , Mindy Shoss
Journal of Vocational Behavior ( IF 5.2 ) Pub Date : 2024-06-27 , DOI: 10.1016/j.jvb.2024.104011 Sarah Bankins , Stefan Jooss , Simon Lloyd D. Restubog , Mauricio Marrone , Anna Carmella Ocampo , Mindy Shoss
As artificial intelligence (AI) use expands within organizations, its influence is increasingly permeating careers and vocational domains. However, there is a notable lack of structured insights regarding AI's role in shaping individual career paths across career stages. To address this gap, we undertook a systematic literature review of 104 empirical articles, aiming to synthesize the scholarship on AI in the context of careers. Drawing upon career stage theory, we examine the implications of AI on careers, identify key barriers and enablers of AI use in this area, and reveal how the utilization of AI impacts individuals' career competencies. In doing so, we illustrate how AI actively shapes individuals' career trajectories and we dissect these effects both within and across various career stages to situate AI within the broader context of careers research. Adopting a sustainable career lens, we conclude by outlining a future research agenda that advocates for the design and adoption of AI systems that promote sustainable and equitable careers.
中文翻译:
人工智能时代的职业发展阶段:系统的跨学科回顾和未来研究议程
随着人工智能 (AI) 在组织内的使用不断扩大,其影响力日益渗透到职业和职业领域。然而,对于人工智能在跨职业阶段塑造个人职业道路方面的作用,人们明显缺乏结构化的见解。为了弥补这一差距,我们对 104 篇实证文章进行了系统的文献综述,旨在综合职业背景下的人工智能学术成果。利用职业阶段理论,我们研究了人工智能对职业的影响,确定了人工智能在该领域使用的主要障碍和推动因素,并揭示了人工智能的使用如何影响个人的职业能力。在此过程中,我们说明了人工智能如何积极塑造个人的职业轨迹,并剖析了不同职业阶段内部和跨不同职业阶段的这些影响,将人工智能置于更广泛的职业研究背景中。采用可持续的职业视角,我们最后概述了未来的研究议程,倡导设计和采用人工智能系统,以促进可持续和公平的职业。
更新日期:2024-06-27
中文翻译:
人工智能时代的职业发展阶段:系统的跨学科回顾和未来研究议程
随着人工智能 (AI) 在组织内的使用不断扩大,其影响力日益渗透到职业和职业领域。然而,对于人工智能在跨职业阶段塑造个人职业道路方面的作用,人们明显缺乏结构化的见解。为了弥补这一差距,我们对 104 篇实证文章进行了系统的文献综述,旨在综合职业背景下的人工智能学术成果。利用职业阶段理论,我们研究了人工智能对职业的影响,确定了人工智能在该领域使用的主要障碍和推动因素,并揭示了人工智能的使用如何影响个人的职业能力。在此过程中,我们说明了人工智能如何积极塑造个人的职业轨迹,并剖析了不同职业阶段内部和跨不同职业阶段的这些影响,将人工智能置于更广泛的职业研究背景中。采用可持续的职业视角,我们最后概述了未来的研究议程,倡导设计和采用人工智能系统,以促进可持续和公平的职业。