AI as customer. (24th January 2022)

• Record Type: Journal Article
• Authors: Huang, Ming-Hui; Rust, Roland T.
• Is Part Of: Journal of service management. Volume 33:Number 2(2022)
• Page Start: 210
• Page End: 220
• Publication Date: 2022-01-24
• Subjects: AI customer -- Multiple AI intelligences -- Mechanical AI -- Thinking AI -- Feeling AI -- Collaborative AI -- Feeling economy -- Augmentation -- Replacement -- Autonomous agents; Service industries -- Management -- Periodicals; 658.005
• DOI: 10.1108/JOSM-11-2021-0425
• Languages: English
• ISSNs: 1757-5818

Abstract

Abstract : 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.