Purpose

This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk factors versus that of motivation and innovation characteristics influencing travelers’ approach behaviors toward ChatGPT.

Design/methodology/approach

A cumulative prospect theory was used to determine travelers’ responses to ChatGPT. This study, using a fuzzy-set qualitative approach, explored risk, motivation and innovation factors as determinants of approach behaviors for ChatGPT.

Findings

Findings revealed that risk, motivation and innovation factors were the key triggers of approach behaviors for ChatGPT. An intricate combination effect of the perceived risk, motivation and innovation characteristics was found, and the necessary predictors were determined.

Practical implications

The findings of this study will expand our current knowledge and offer practical insights for the development of ChatGPT in the hospitality and tourism sector.

Originality/value

This study makes a significant contribution to the existing literature by providing a nuanced understanding of the intricate interplay between the various factors that shape customer behavior in the context of technology adoption in hospitality and tourism studies.

中文翻译：

---

ChatGPT 接近行为的决定因素及其在酒店和旅游业中的配置影响：累积前景理论

目的

本研究论文旨在探讨酒店和旅游业中旅行者对 ChatGPT 的行为的关注点和决定因素。它还检查了风险因素的权重与影响旅行者接近 ChatGPT 行为的动机和创新特征的权重。

设计/方法论/途径

使用累积前景理论来确定旅行者对 ChatGPT 的反应。本研究使用模糊集定性方法，探讨了风险、动机和创新因素作为 ChatGPT 接近行为的决定因素。

发现

调查结果显示，风险、动机和创新因素是 ChatGPT 接近行为的关键触发因素。发现了感知风险、动机和创新特征的复杂组合效应，并确定了必要的预测因素。

实际影响

这项研究的结果将扩展我们现有的知识，并为 ChatGPT 在酒店和旅游业的发展提供实用见解。

原创性/价值

这项研究对酒店和旅游业研究中采用技术的背景下影响客户行为的各种因素之间错综复杂的相互作用提供了细致入微的理解，对现有文献做出了重大贡献。