Journal Press India^®

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This study aims to examine the structure of customer shopping experiences within the retail app context. Scientific articles were searched from the Scopus database. Using VOSviewer software, keyword analysis and bibliometric coupling were conducted to map the scientific landscape of the published literature. The findings indicate a significant increase in research output, with over 50% of relevant articles published in the past three years. A notable portion of these studies appeared in leading academic journals. Commonly occurring keywords included e-commerce, augmented reality, user experience, retail, mobile shopping, mobile apps, and artificial intelligence. Additionally, emerging keywords such as machine learning, deep learning, Internet of Things, and smart trolleys highlight the expanding influence of AI and IoT in retail environments. Seven distinct clusters were identified through bibliometric coupling analysis.

Keywords

Shopping experience; Retail app; Bibliometric analysis

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