Technological unemployment in terms of global labor market imbalances: bibliometric analysis
Year: 2025
Type: article
Abstract: The current society, known as the supersmart society or Society 5.0, emerged in response to the Fourth Industrial Revolution, also known as Industry 4.0 (I4.0). This revolution arose with the development of technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data Analytics (BDA). According to the Future of Jobs Report 2023, the most significant macro trend driving business transformation is the increased adoption of frontier technologies, with an 86.2% rate. I4.0 has reshaped production and manufacturing, transforming firms into smart factories. One consequence of I4.0 is technological unemployment (TU). This paper evaluates the literature on I4.0 and TU from 2015 to 2024, focusing on labor market imbalances (LMI). Through bibliometric analysis, it assesses publication and citation performance across authors, institutions, countries, and journals. Additionally, it examines bibliometric citation trends, including cited references. To achieve this, we adopted a quantitative approach and a confirmatory-explicative research method to analyze TU within I4.0 transformations and its impact on LMI. Bibliometric analysis was used to identify data patterns, trends, and relationships in the literature. Our findings reveal significant trends, notably job polarization, income inequality, and TU. However, the effects of I4.0 on employment are not universally negative; in some cases, technological investments create new professions and job opportunities. Occupations requiring human judgment, decision-making, creativity, and innovation show resilience to technological advancements.
Source: Brazilian Journal of Business
DOI: 10.34140/bjbv7n1-039
Authors: Souheyla Cherif, Siham Gourida
Institution: Ziane Achour University of Djelfa
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4407409279
