独创性
营销
透视图(图形)
价值(数学)
消费者行为
客户体验
系统回顾
计算机科学
业务
知识管理
社会学
定性研究
人工智能
政治学
法学
机器学习
社会科学
梅德林
出处
期刊:Journal of Research in Interactive Marketing
[Emerald (MCB UP)]
日期:2022-12-19
卷期号:17 (4): 620-639
被引量:10
标识
DOI:10.1108/jrim-03-2022-0082
摘要
Purpose Various consumer-facing artificial intelligence (AI) applications are used to interact with consumers at all purchase stages, and related research has sharply increased. This study aims to synthesize the literature related to consumer–AI interaction using the customer journey framework, identify the factors affecting AI's effectiveness in interactive marketing and offer an agenda for future research. Design/methodology/approach This study undertakes a framework-based systematic review of 239 articles on AI in marketing from the consumer perspective published in peer-reviewed journals from 2007 to 2021. Findings This review identifies the roles of AI touch points and factors affecting the acceptance and effectiveness of consumer–AI interaction in each stage of the customer journey. Originality/value This study is the first to review the existing literature using a customer journey framework to identify the factors that influence customer interactions with AI touch points at each purchase stage and pave the way for future research.
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