Lifelong training approaches for the post-pandemic workforces: a systematic review

Patiño, Azeneth; Naffi, Nadia

doi:10.1080/02601370.2023.2214333

Cited by 4 publications

(1 citation statement)

References 72 publications

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“…In the post-pandemic context several already emerging trends should be preserved, such as: flexible forms of employment, for instance teleworking, remote working, e-work, hybrid work, etc. (Vyas, 2022;Babapour et al, 2022;Lipták et al, 2023); tailored well-being programs for employees (Laker & Roulet, 2021;Mantello & Ho, 2023); creative, affordable, accessible training programs for new skills acquisitions (Li, 2022;Patino & Naffi, 2023); and continuous development of digitalization in both the private and public sectors (Vyas, 2022;Rapanta et al, 2021) Lazaroiu, G., Androniceanu, A., Grecu, I., Grecu, G., & Neguriță, O. (2022a)…”

Section: Discussionmentioning

confidence: 99%

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

Cramarenco,

Burcă-Voicu,

Dabija

2023

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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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Section: Discussionmentioning

confidence: 99%

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

Cramarenco,

Burcă-Voicu,

Dabija

2023

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Factors affecting transfer of online training: A systematic literature review and proposed taxonomy

Shukla,

Dash,

Kumar

2023

Human Resource Dev Quarterly

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Training employees in new competencies is crucial for ensuring organizational sustainability and success. Consequently, organizations allocate significant resources to training initiatives. As training constitutes a substantial investment, it becomes imperative to identify and categorize factors that enhance the transferability of training. This necessity becomes particularly pronounced in the context of online training, which is being increasingly adopted by organizations for various reasons, including cost efficiency and flexibility. While the adoption of online training is on the rise, research on factors that enhance the effectiveness of such training remains limited. This study aims to address this gap by introducing a taxonomy of factors that influence the transfer of online training. These factors are categorized into four broad themes: computer (digital) literacy and attitudes, learner characteristics, training design and planning, and the learning environment along with organizational factors. Additionally, the study maps these factors to the intended outcomes of training (knowledge, skills, and attitude) and the participants engaged in the training sessions, providing a comprehensive overview of ongoing research and identifying areas for future investigation. Drawing insights from an evaluation of existing literature, the research not only points toward potential research directions but also offers practical implications for designing more effective online training sessions.

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Mapping the main research themes in digital human resources

García-Fernández,

Ortiz-de-Urbina-Criado,

García-López

2024

Humanit Soc Sci Commun

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Lifelong training approaches for the post-pandemic workforces: a systematic review

Cited by 4 publications

References 72 publications

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

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

Factors affecting transfer of online training: A systematic literature review and proposed taxonomy

Mapping the main research themes in digital human resources

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