The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

IF 7.6 1区 经济学 Q1 ECONOMICS Oeconomia Copernicana Pub Date : 2023-09-30 DOI:10.24136/oc.2023.022
Romana Emilia Cramarenco, Monica Ioana Burcă-Voicu, Dan Cristian Dabija
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Abstract

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose of the article: The objective of this paper is to develop a systematic review of the relevant literature to identify the effects of technological change, especially the adoption of AI in organizations, on employees’ skills (professional dimension) and well-being (personal dimension). Methods: To implement the research scope, the authors relied on Khan's five-step methodology, which included a PRISMA flowchart with embedded keywords for selecting the appropriate quantitative data for the study. Firstly, 639 scientific papers published between March 2020 to March 2023 (the end of the COVID-19 pandemic according to the WHO) from Scopus and Web of Science (WoS) databases were selected. After applying the relevant procedures and techniques, 103 articles were retained, which focused on the professional dimension, while 35 papers were focused on the personal component. Findings & value added: Evidence has been presented highlighting the difficulties associated with the ongoing requirement for upskilling or reskilling as an adaptive reaction to technological changes. The efforts to counterbalance the skill mismatch impacted employees' well-being in the challenging pandemic times. Although the emphasis on digital skills is widely accepted, our investigation shows that the topic is still not properly developed. The paper's most significant contributions are found in a thorough analysis of how AI affects workers' skills and well-being, highlighting the most representative aspects researched by academic literature due to the recent paradigm changes generated by the COVID-19 pandemic and continuous technological disruptions.
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人工智能(AI)对全球劳动力市场中员工技能和福祉的影响:系统回顾
研究背景:本文讨论了人工智能(AI)如何影响工人的个人和职业生活,因为最近的大流行导致了许多技术中断,正在重新定义全球劳动力市场。本文目的:本文的目的是对相关文献进行系统回顾,以确定技术变革,特别是组织中采用人工智能对员工技能(专业维度)和福祉(个人维度)的影响。方法:为了实现研究范围,作者依靠Khan的五步方法学,其中包括一个带有嵌入关键词的PRISMA流程图,用于选择适当的定量数据进行研究。首先,从Scopus和Web of Science (WoS)数据库中选取2020年3月至2023年3月(世界卫生组织认为2019冠状病毒病大流行结束)发表的639篇科学论文。应用相关程序和技术后,保留了103篇论文,主要集中在专业维度,35篇论文集中在个人部分。的发现,附加值:已有证据表明,作为对技术变革的适应性反应,不断要求提高技能或再培训存在困难。在具有挑战性的大流行时期,平衡技能不匹配的努力影响了员工的福祉。尽管对数字技能的重视已被广泛接受,但我们的调查显示,这一主题仍未得到适当的发展。该论文最重要的贡献在于全面分析了人工智能如何影响工人的技能和福祉,突出了学术文献研究中最具代表性的方面,这是由于最近新冠肺炎大流行和持续的技术中断造成的范式变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.70
自引率
5.90%
发文量
26
审稿时长
24 weeks
期刊介绍: The Oeconomia Copernicana is an academic quarterly journal aimed at academicians, economic policymakers, and students studying finance, accounting, management, and economics. It publishes academic articles on contemporary issues in economics, finance, banking, accounting, and management from various research perspectives. The journal's mission is to publish advanced theoretical and empirical research that contributes to the development of these disciplines and has practical relevance. The journal encourages the use of various research methods, including falsification of conventional understanding, theory building through inductive or qualitative research, first empirical testing of theories, meta-analysis with theoretical implications, constructive replication, and a combination of qualitative, quantitative, field, laboratory, and meta-analytic approaches. While the journal prioritizes comprehensive manuscripts that include methodological-based theoretical and empirical research with implications for policymaking, it also welcomes submissions focused solely on theory or methodology.
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