Interests of the future: An integrative review and research agenda for an automated world of work

IF 5.2 1区 心理学 Q1 PSYCHOLOGY, APPLIED
Alexis Hanna , Christopher D. Nye , Andrew Samo , Chu Chu , Kevin A. Hoff , James Rounds , Frederick L. Oswald
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Abstract

Research on automation and the future of work is a major focus for both academics and practitioners due to technological changes disrupting the labor market and educational pathways. Although recent articles have published projections about the types of tasks and jobs most likely to be automated in the coming years, little attention has been devoted to how different types of vocational interests are susceptible to automation, as well as resulting changes to the match between people's interests and their jobs. In the present article, we provide an integrative review of vocational interests and automation projections within and across jobs. By standardizing and mapping projections to Holland's RIASEC interest model, we found that Investigative (scientific) and Conventional (detail-oriented) interests, including STEM interests, are most susceptible to automation, whereas Social (people-oriented) and Realistic (hands-on) interests are least susceptible. For Artistic and Enterprising interests, some creative work, decision-making, and leadership skills may be affected by automation across a range of jobs. We build on these projections to propose a future research agenda integrating interests, technology, and careers. Specifically, we identify five areas for future research, including using intentional work design to enhance interests, the role of interests in career decisions related to project-based work, changes in people's interests following automation, increased use of basic interests, and the systematic impacts of automation on different groups of people. Overall, this review highlights how vocational interests will remain an important topic with high relevance for career guidance, education, and organizations as the future of work evolves.

未来的利益:自动化工作世界的综合审查和研究议程
由于技术变革扰乱了劳动力市场和教育途径,有关自动化和未来工作的研究成为学术界和从业人员关注的焦点。虽然最近有文章发表了关于未来几年最有可能实现自动化的任务和工作类型的预测,但很少有人关注不同类型的职业兴趣如何容易受到自动化的影响,以及由此导致的人们的兴趣与工作之间的匹配变化。在本文中,我们对职业兴趣和自动化预测进行了综合评述。通过将预测标准化并映射到霍兰的 RIASEC 兴趣模型,我们发现调查(科学)和传统(注重细节)兴趣,包括 STEM 兴趣,最容易受到自动化的影响,而社交(以人为本)和现实(动手)兴趣则最不容易受到影响。就艺术和进取兴趣而言,一些创造性工作、决策和领导技能可能会受到自动化对各种工作的影响。在这些预测的基础上,我们提出了将兴趣、技术和职业结合起来的未来研究议程。具体来说,我们确定了未来研究的五个领域,包括利用有意的工作设计来提高兴趣、兴趣在与基于项目的工作相关的职业决策中的作用、自动化后人们兴趣的变化、对基本兴趣的更多利用,以及自动化对不同人群的系统性影响。总之,这篇综述强调了随着未来工作的发展,职业兴趣将如何继续成为一个对职业指导、教育和组织具有高度相关性的重要课题。
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来源期刊
Journal of Vocational Behavior
Journal of Vocational Behavior PSYCHOLOGY, APPLIED-
CiteScore
13.10
自引率
5.40%
发文量
85
期刊介绍: The Journal of Vocational Behavior publishes original empirical and theoretical articles offering unique insights into the realms of career choice, career development, and work adjustment across the lifespan. These contributions are not only valuable for academic exploration but also find applications in counseling and career development programs across diverse sectors such as colleges, universities, business, industry, government, and the military. The primary focus of the journal centers on individual decision-making regarding work and careers, prioritizing investigations into personal career choices rather than organizational or employer-level variables. Example topics encompass a broad range, from initial career choices (e.g., choice of major, initial work or organization selection, organizational attraction) to the development of a career, work transitions, work-family management, and attitudes within the workplace (such as work commitment, multiple role management, and turnover).
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