review · Frontiers in Artificial Intelligence
Artificial intelligence adoption in workplaces is transforming organisational operations and employee well-being. A bibliometric and systematic review covering the period from 2015 to 2024 examined 92 publications quantitatively and 25 publications thematically. Research in this field grew significantly after 2020, led primarily by contributions from the United States and China. Literature centres on four primary thematic clusters: ethics, work autonomy, employee stress, and mental health. The existing research exhibits critical gaps, notably a lack of empirical investigations within non-Western contexts and across underrepresented demographic groups such as older workers, people with low education levels, and diverse sexes. Furthermore, studies rarely address small manufacturing enterprises, primary and secondary industries, call centres, or specific healthcare environments. Organisations must introduce supportive strategies to mitigate risks to well-being while utilising artificial intelligence to foster autonomy, satisfaction, creativity, and self-efficacy.
As artificial intelligence enters daily operational environments, businesses must understand its psychological and ethical consequences for staff. Mapping existing knowledge highlights major blind spots, particularly regarding non-Western workforces and varied industrial sectors. Recognising these dynamics helps organisational leaders design work environments that protect staff mental health, preserve personal autonomy, and ensure technology adoption promotes constructive employee engagement rather than distress.
This synthesis represents early-stage conceptual research that provides organisational leaders, human resource practitioners, and workplace technology designers with evidence-based guidance. While it does not present a deployable tool, the findings can inform enterprise change-management programmes, employee well-being frameworks, and the responsible deployment of workplace software. Practical applications are furthest from use in non-Western and industrial settings, where empirical operational data remain largely absent.
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Introduction: The adoption of artificial intelligence (AI) in the workplace is changing the way organizations function, and profoundly affecting employees. These organizational changes raise crucial questions about the employee's future and well-being. Our study aims to explore the intersection between artificial intelligence and employee well-being through a bibliometric review and a contextual analysis. Methodology: Carried out in May 2024, our study is divided into two phases. The first phase, dedicated to bibliometric review, was conducted using the PRISMA method, and explored the Scopus and Web of Science databases for the period from 2015 to 2024. A total of 92 articles were selected for quantitative analysis using VOSviewer software. The second phase is based on an in-depth systematic analysis of 25 articles selected from those previously identified. These articles were selected on the basis of their relevance to the research question, and were subjected to in-depth thematic analysis using NVivo software. Results: The bibliometric analysis results reveal a significant increase in publications starting from the year 2020, highlighting advancements in research, primarily in the United States and China. The co-occurrence analysis identifies four main clusters: ethics, work autonomy, employee stress, and mental health, thus illustrating the dynamics created by artificial intelligence in the professional environment. Furthermore, the systematic analysis has brought to light theoretical gaps and under-explored areas, such as the need to conduct empirical studies in non-Western cultural contexts and among diverse target groups, including older adults, individuals of different sexes, people with low education levels, and participants from various sectors, including primary and secondary industries, small manufacturing businesses, call centers, as well as public and private healthcare sectors. Conclusion: Existing literature emphasize the importance for organizations to implement supportive strategies aimed at mitigating the potential adverse effects of AI on employee well-being, while also leveraging its benefits to enhance workplace autonomy and satisfaction and promote AI-enabled innovation through employee creativity and self-efficacy.
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DOI: 10.3389/frai.2024.1473872
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