Electronic markets information systems with explainable artificial intelligence: A bibliometric analysis of publications from 2000 to 2024
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Abstract
Explainable Artificial Intelligence (XAI) plays a pivotal role in enhancing trust and technology acceptance in artificial intelligence applications, drawing significant interest across diverse fields. Despite this growing attention, limited research has focused on the application of XAI in improving customer experience within electronic markets. Addressing this gap, the present study investigates the landscape of XAI research in electronic markets through a bibliometric analysis of scholarly publications from 2000 to 2024. Sources were systematically retrieved from major academic databases including Google Scholar, Scopus, and Crossref. The analysis reveals that research interest in this domain is recent, with the earliest relevant publications emerging in 2023 and increasing in the following year. The study examines the temporal distribution of publications, identifies leading journals, highlights the most cited works, and analyzes frequently used keywords. These findings reflect the nascent yet growing academic engagement with XAI in electronic commerce settings. The study concludes by offering recommendations for future research, emphasizing the need for deeper exploration of customer-centric applications of XAI and the development of transparent models tailored to the dynamics of digital marketplaces.
Keywords: Artificial intelligence; customer satisfaction; electronic markets; electronic commerce; information systems.
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