Paradigm of symbiosis as a mechanism of artificial intelligence and customers’ patronage decision in the hospitality sector: the moderating role of customer engagement

Lee, Wing Han Helen (2024) Paradigm of symbiosis as a mechanism of artificial intelligence and customers’ patronage decision in the hospitality sector: the moderating role of customer engagement. Asia Pacific Journal of Tourism Research. ISSN 1741-6507

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Lee, Wing Han Helen (2024) Paradigm of symbiosis as a mechanism of artificial intelligence.pdf - Accepted Version
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Official URL: https://doi.org/10.1080/10941665.2024.2363884

Abstract

Study aims to explore the effect of artificial intelligence (AI) performance on customer values and patronage decisions; determine the relationship between AI service enhancement and various levels of perceived value; and adopt customer engagement as a moderator that affects customer value and patronage decision. Study adopts the Means-End Chain theory, synthesised by the Multi-Attribute Value theory to integrate AI performance and perceived values. Adopted quantitative approach and structured equation modelling and study are based on a total of 418 valid samples. Shedding light on how AI resources can be effectively managed within the service paradigm during customer interactions and AI services, this study is expected to offer theoretical and practical insights. Results contribute to the theoretical framework surrounding the relationship between AI and customer patronage decision making, thereby enriching the AI academic field. The study advocates for a symbiotic understanding of AI and customer engagement for improved service performance.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence; customer engagement; customer value; Means-End Chain theory; Multi-Attribute Value theory; patronage decision; service encounter; service enhancement
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Institutes and Academies > Institute of Management and Health > Tourism and Hospitality
Depositing User:	Helen Lee
Date Deposited:	17 Jul 2024 13:10
Last Modified:	11 Sep 2024 17:05
URI:	https://repository.uwtsd.ac.uk/id/eprint/3042

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