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

Abstract

<p class="MsoNormal" style="margin-bottom:0cm;line-height:normal;tab-stops:413.25pt"><span lang="EN-US" style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif">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.&nbsp;</span><span style="font-family: &quot;Times New Roman&quot;, serif; font-size: 12pt;">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&nbsp;</span><span style="font-family: &quot;Times New Roman&quot;, serif; font-size: 16px;">Web of Science (WoS) database</span><span style="font-family: &quot;Times New Roman&quot;, serif; font-size: 12pt;">. After eliminating irrelevant articles, 231 articles remained for the analysis.&nbsp;</span><font face="Times New Roman, serif"><span style="font-size: 16px;">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.&nbsp;</span></font><span style="font-family: &quot;Times New Roman&quot;, serif; font-size: 12pt;">Four themes emerged from the CONCOR analysis: ‘System development &amp; application,’ ‘Perception of robots,’ ‘Role of AI,’ and ‘Healthcare.’</span>