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2023 | 14 | 3 | 731-767

Article title

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

Content

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Abstracts

EN
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.

Year

Volume

14

Issue

3

Pages

731-767

Physical description

Dates

published
2023

Contributors

  • Babeș-Bolyai University Cluj-Napoca
  • Babeș-Bolyai University Cluj-Napoca
  • Babeș-Bolyai University Cluj-Napoca

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Document Type

Publication order reference

Identifiers

Biblioteka Nauki
19901816

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_oc_2023_022
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