全渠道
个性化
潜在Dirichlet分配
计算机科学
移动商务
背景(考古学)
可用性
客户体验
用户体验设计
移动应用程序
广告
万维网
营销
业务
主题模型
人机交互
情报检索
古生物学
生物
标识
DOI:10.1080/20932685.2024.2417304
摘要
This research explored the human-machine user/consumer experience when customers use fashion retail mobile applications under the omnichannel context, aiming to identify key themes and varying customer values from customer reviews of different tiers of fashion mobile apps. 5, 000 customer reviews about ten department store mobile apps were crawled from the iOS App Store in June 2021. Using text-mining methods, including Latent Dirichlet Allocation (LDA) topic modeling, sentiment classification, and word co-occurrence network, this research reveals predominant topics/themes in mobile app reviews that reflect consumer perceptions of human-machine experience and omnichannel shopping experience. These insights underscore the critical role of human-machine user experience in the success of omnichannel strategies and identified the four important instrumental qualities in fashion mobile app user experience, which are ease of use, usability, fluency, and personalization. The findings also shed light on customers’ expectations and perceived value concerning different types of fashion omnichannel retailers.
科研通智能强力驱动
Strongly Powered by AbleSci AI