Attitudes and perceptions of people towards Artificial Intelligence in human dominated job roles: A bibliometric study

Tinofirei Museba

International Journal of Business Ecosystem & Strategy (2687-2293), 2024, vol. 6, issue 4, 91-104

Abstract: Artificial Intelligence has generated much scholarly and practical attention from researchers in integrating it into job roles that humans traditionally handled. This has inspired an explosion in research activity dedicated to the topic. This study uses a systematic bibliometric method to investigate research progress on individuals' perceptions of AI in jobs. Using a large dataset from the "Web of Science," this research investigates changing patterns, institutional affiliations, geographic distributions, and keyword connections. We retrieved 2228 manuscripts published between 2021 and 2023 from the Web of Science. The researchers used the power of specialized software, Bibliometrix, and VOSviewer, to navigate the intricate web of AI's integration into human-dominated professions. The findings indicate the importance of AI's impact on human job roles. The increased amount of research dedicated to the topic highlights its rising significance within society. This research significantly contributes to the ongoing discourse regarding AI adoption by offering a solid foundation for future enquiries and policy development, particularly as technology and society evolve.

Keywords: Artificial intelligence; attitude; perceptions; economic growth; deep learning. (search for similar items in EconPapers)
Date: 2024
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