BOOK-CHAPTER

AI-Driven Customer Experience

Svetlana Bialkova

Year: 2023 Advances in human and social aspects of technology book series Pages: 341-357   Publisher: IGI Global

Abstract

Despite the increasing implementation of artificial intelligence (AI), it is puzzling why consumers are still resistant towards it. Part of the problem is how to create systems that appropriately meet consumer demand for good quality and functional AI. The chapter addresses this issue by providing the much-needed understanding of how AI technologies can shape a satisfactory customer experience. Results are clear in showing that easy-to-use and high-quality AI systems form positive attitudes, and consumers are willing to use such technology again. Functional and enjoyable interaction enhanced the experience and thus attitude formation. These results have been substantiated statistically only for the high satisfaction group. By contrast, for low satisfaction group, consumers have not enjoyed the experience they had with the AI system. They found the interaction to be unpleasant, and the system to be useless. The outcomes are summarised in a framework for designing appropriate AI systems shaping consumer journey beyond the traditional marketing context.

Keywords:
Customer experience Quality (philosophy) Customer satisfaction Context (archaeology) Marketing Computer science Knowledge management Psychology Business Epistemology

Metrics

10
Cited By
16.16
FWCI (Field Weighted Citation Impact)
35
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Consumer Retail Behavior Studies
Social Sciences →  Business, Management and Accounting →  Marketing
Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science
AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence

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