通过整合技术接受模型，研究 ChatGPT 对旅游业和酒店业学生反应的影响

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-08-12 DOI:10.1002/jtr.2727

Chris Zhen Gan Zhu, C. Michael Hall, Lawrence Hoc Nang Fong, Feifei Lin, Sara Naderi Koupaei

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引用次数: 0

摘要

近年来，ChatGPT 作为一种基于人工智能（AI）的工具在旅游与酒店管理教育领域受到越来越多的关注。本研究通过将真实性概念纳入旅游与酒店管理教育领域的技术接受模型（TAM）理论框架，探讨了感知易用性、感知有用性和真实性对学生使用 ChatGPT 的态度和意向的影响。本研究发现，与感知易用性和感知有用性相比，真实性对学生使用 ChatGPT 的意向具有最强的间接影响。本研究拓宽了 TAM 理论在 ChatGPT 中的适用范围，并为其应用提供了实用见解。

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Examining the effects of ChatGPT on tourism and hospitality student responses through integrating technology acceptance model

ChatGPT has gained increased attention as an artificial intelligence (AI)-based tool in the field of tourism and hospitality education in recent years. This study investigates the impact of perceived ease of use, perceived usefulness and authenticity on student attitude and intention to use ChatGPT by incorporating the concept of authenticity into the technology acceptance model (TAM) theoretical framework in tourism and hospitality education. This study found that authenticity had the strongest indirect effect on student intention to use ChatGPT compared with perceived ease of use and perceived usefulness. This study broadens the applicability of TAM theory in ChatGPT and provides practical insights into its application.

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.