.png){kind=icon}
.png){kind=icon}
Return
Technology Roadmapping for GenAI Chatbots in Online Shopping Context
.png){kind=icon}
PRE
AI
A
P
S
DOI：10.1080/10447318.2026.2684316.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Generative Artificial Intelligence (GenAI) chatbots and rising consumer expectations are revolutionizing online retail. However, existing literature has not systematically mapped the role of GenAI chatbots in online shopping. To address this gap, this study utilizes Structural Topic Modeling (STM) on peer-reviewed research articles and highlights seven key topics: personalized product recommendation, AI customer service, multimodal interface, marketing content generation, user behavior analytics, sentiment and opinion mining, and security, privacy, and data protection. This study also evaluates topic correlations between topics to clarify the conceptual structure of the research. Finally, a Technology Roadmap for GenAI chatbots is proposed, outlining anticipated development in the near, mid, and long terms in the context of online shopping. This study provides evidence-based insights for scholars on deploying GenAI chatbots for online shopping. The roadmap also guides managers, retailers, and developers in planned investment and integration to build long-term competitive advantage.
Keywords:
GenAI chatbots
online shopping
topic modeling
technology roadmap
Journal
I
IF:
0
Papers:
329
Citations:
0