消费者行为
人格
社会学
心理学
主题分析
知识管理
计算机科学
数据科学
营销
社会心理学
业务
社会科学
定性研究
作者
Varsha Jain,Ketan Wadhwani,Jacqueline K. Eastman
摘要
Abstract The advancement of artificial intelligence (AI) technology and its applications has drastically transformed consumer behavior (CB). As consumers interact with these applications on multiple platforms and touchpoints, it becomes crucial to understand how these interactions affect consumer behavior and its components, including personality, attitude, engagement, decision‐making, and trust. The research on the relationship between artificial intelligence and consumer behavior (hereafter referred to as AI CB) revolves around these topics and has grown exponentially in recent years. A rigorous review is required to provide directions for future studies by comprehending the extensive literature, understanding research gaps, and identifying the future directions for scholarly work. This article aims to address this research gap by analyzing 107 AI CB articles using the bibliometric and framework‐based methodology to provide insights into publication trends, dominant theories, methods, antecedents, decisions, and outcomes in the AI CB literature. Most importantly, the review identifies clusters of research fronts and provides a thematic framework for current research. These clusters or themes relate to AI interaction with consumer behavior dimensions, including consumer acceptance and trust, consumer interaction and engagement, attitude and personality, decision‐making, and adoption. This thematic framework and TCM‐ADO analysis offer future research directions to advance theory development and have implications for industry and society.
科研通智能强力驱动
Strongly Powered by AbleSci AI