The Intersection of AI and Employees: Evolutionary Trendsin Research

Artificial intelligence has been reshaping the workplace environment for a few years now transforming opportunities for employees globally and introducing significant new challenges. In our paper we conduct a comprehensive literature review to illustrate the main trends in academic research on artificial intelligence and employees, drawing upon a robust dataset of peer-reviewed articles extracted from the Web of Science database. The paper’s objective is to undertake a detailed analysis that highlights the key trajectories of evolution in academic discourse surrounding artificial intelligence within organizational contexts and identify critical gaps in knowledge, as well as prospective future research directions. These are relevant both for academic pursuit, but also for practitioners eager to be one step ahead of the AI stormy challenges. To attain this, we performed an analysis of over two thousand papers, employing Vos Viewer software. Results reveal several clear research evolution trajectories and the associated emerging trends on AI related research, from which we derived valuable insights into future directions and interpretations.

Publication Details

Journal
Review of International Comparative Management
Published
2025-03-01
DOI
https://doi.org/10.24818/rmci.2025.1.46
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

The Intersection of AI and Employees: Evolutionary Trendsin Research

Review of International Comparative Management
Impact of AI and Big Data on Business and Society
article

The Intersection of AI and Employees: Evolutionary Trendsin Research

article en

Abstract

Artificial intelligence has been reshaping the workplace environment for a few years now transforming opportunities for employees globally and introducing significant new challenges. In our paper we conduct a comprehensive literature review to illustrate the main trends in academic research on artificial intelligence and employees, drawing upon a robust dataset of peer-reviewed articles extracted from the Web of Science database. The paper’s objective is to undertake a detailed analysis that highlights the key trajectories of evolution in academic discourse surrounding artificial intelligence within organizational contexts and identify critical gaps in knowledge, as well as prospective future research directions. These are relevant both for academic pursuit, but also for practitioners eager to be one step ahead of the AI stormy challenges. To attain this, we performed an analysis of over two thousand papers, employing Vos Viewer software. Results reveal several clear research evolution trajectories and the associated emerging trends on AI related research, from which we derived valuable insights into future directions and interpretations.

Review of International Comparative Management(Vol. 26 No. 1 / 2025)
Openalex Percentile: Top 84%
Impact of AI and Big Data on Business and Society
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