Merchandising/Marketing/Retailing: Management

Artificial Intelligence for the Fashion and Retail Industry: Insights From Network Analysis of the Current Literature

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Abstract

This study aimed to delineate the state of the art AI literature and advance theoretical development by providing a systematic review of the literature using big data analysis methods. Relevant articles were searched using search word combinations using “artificial intelligence,” “consumer,” “store,” “retail,” apparel,” and “fashion” for the title, abstract, and keywords of articles from the Web of Science (WoS) database. After eliminating irrelevant articles, 231 articles remained for the analysis. The most diagnostic keyword among the top 30 keywords was “social”. Further examinations of the literature revealed that social was an important word in service/product development and in the innovation acceptance process of consumers. Four themes emerged from the CONCOR analysis: ‘System development & application,’ ‘Perception of robots,’ ‘Role of AI,’ and ‘Healthcare.’

Keywords: network analysis, Artificial Intelligence, AI, intellectual structure of a scholarly field

How to Cite:

Ju, N., Kim, T. H. & Im, H., (2022) “Artificial Intelligence for the Fashion and Retail Industry: Insights From Network Analysis of the Current Literature”, International Textile and Apparel Association Annual Conference Proceedings 78(1). doi: https://doi.org/10.31274/itaa.13803