Artificial Intelligence and Consumer Behaviour: A Bibliometric Review
DOI:
https://doi.org/10.5281/zenodo.17539037Keywords:
Artificial Intelligence, Consumer Behaviour, Bibliometric Analysis, Algorithmic Personalisation, Digital Ethics, Digital Transformation.Abstract
This investigation provides a systematic mapping of the emerging field linking artificial intelligence to consumer behavior studies. A bibliometric analysis of 5,200 scientific publications, extracted from the Scopus database for the period 2008-2023, reveals an exponential growth in research since 2018. The results reveal a Sino-American dominance in knowledge production, characterised by a tripartite thematic structure centred on recommendation systems, conversational interfaces, and predictive analytics, as well as epistemological foundations grounded in behavioural theories and computational sciences. The study highlights the gradual emergence of ethical concerns as a structuring axis, offering a conceptual framework to guide responsible technological innovation.
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Copyright (c) 2025 Sarah Makraz, Wadi Tahri
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