荟萃分析
服务质量
服务(商务)
计算机科学
营销
业务
运营管理
工程类
医学
内科学
作者
Minglong Li,Xiaoyang Sun,Meichen Hua,Hailian Qiu
标识
DOI:10.1080/19368623.2024.2391856
摘要
With the permeation of artificial intelligence (AI) through the tourism and hospitality industry, a comprehensive understanding of its features and service outcomes is important for both academia and practice. In this study, a meta-analytic framework with 23 constructs from 91 research papers was developed. This analysis indicated that AI features can be categorized as sensory, social or functional; and the relationships among these features were revealed. Additionally, these features lead to positive service outcomes via a process involving customers' cognition, affect and relationships with service providers. The research method, AI type and participants' gender moderate the influence of AI features on service outcomes, but stimulants and prior experience do not. These findings enhance the understanding of AI applications and consequences and have managerial implications.
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