The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry

客户参与度 客户情报 客户宣传 客户保留 忠诚商业模式 客户对客户 业务 营销 顾客惊喜 忠诚 结构方程建模 共享经济 关系营销 知识管理 计算机科学 万维网 社会化媒体 市场营销管理 服务质量 机器学习 服务(商务)
作者
Ying Chen,Catherine Prentice,Scott Weaven,Aaron Hisao
出处
期刊:Frontiers in Psychology [Frontiers Media]
卷期号:13 被引量:14
标识
DOI:10.3389/fpsyg.2022.912339
摘要

Trust is an essential factor in online and offline transactions. However, the role of customer trust has received limited attention in the home-sharing economy. Drawing on the revised stimulus organism response model and trust transfer theory, this paper examines how customer trust in home-sharing hosts and platforms affects customer relationships, manifested in customer engagement and loyalty. As artificial intelligence (AI) is extensively utilized within home-sharing platforms to facilitate business operations and enhance the customer experience, this study also examines the influence of AI on customer trust and other related outcomes. The research was undertaken in China, with respondents who had used home-sharing platforms. Results from structural equation modeling show that customer trust had a significant positive relationship with customer engagement and loyalty. Customer engagement mediates the relationship between trust and loyalty, while AI may have a negative moderating effect between host trust and customer engagement and customer engagement and loyalty. The paper contributes to marketing, sharing economy and AI research. The work has implications for practitioners offering suggestions to develop marketing strategies for business growth and sustainability.

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