独创性
营销
价值(数学)
客户体验
计算机科学
消费者行为
客户服务
顾客价值
知识管理
业务
服务(商务)
数据科学
社会学
利润(经济学)
经济
定性研究
微观经济学
机器学习
社会科学
作者
Ming‐Hui Huang,Roland T. Rust
出处
期刊:Journal of Service Management
日期:2022-01-20
卷期号:33 (2): 210-220
被引量:16
标识
DOI:10.1108/josm-11-2021-0425
摘要
Purpose The purpose of the paper is to note that customers are not necessarily human and to figure out how best to serve artificial intelligence (AI) customers. The authors also propose several major research streams, as examples, to help launch research on AI customers and how to serve them. Design/methodology/approach The current paper is a conceptual one that draws upon research from many areas to support the ideas proposed. Findings AI customer are proliferating. AI as customers can augment or replace human customers and can be the customer itself. Service providers may also be AI, which means that both humans serving AI customers and AI serving AI customers are relevant here. The authors show that even truly autonomous AI customers are likely to be more common in the future. The authors conclude that reverse engineering will probably not be successful in understanding AI customers and that an approach similar to how we research human consumer behavior is likely to be more useful. Originality/value Virtually, the entire literature on customers and how to serve them assumes that customers are human. With the rapid advancement of AI, purchase decisions are increasingly made by AI, suggesting that it is now important and necessary to consider the possibility of AI customers and how best to serve them. This paper opens the door for such research.
科研通智能强力驱动
Strongly Powered by AbleSci AI