人工智能驱动的可持续发展方法：人工智能对游客亲环境行为意愿的影响

IF 7.8 1区管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM

Journal of Hospitality and Tourism Management Pub Date : 2025-06-01 DOI:10.1016/j.jhtm.2025.05.012

Yufan Yang, Chunxiao Li, Zhirui Qu

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引用次数: 0

摘要

游客的亲环境行为意愿至关重要，但旅游的性质（匿名性、享乐主义和临时性）会阻碍游客参与旅游。如今，人工智能已经成为促进这种行为意愿的新途径。这项研究考察了人工智能如何增强这种效果，重点关注了当地口音在人工智能交流中的作用。利用接地性理论，四项研究（和一项补充研究）调查了人工智能口音如何影响游客的亲环境行为意图，其中接地性充当中介。市场细分表明，这些影响仅在来自中国大城市的游客中显著。因此，本研究为游客亲环境行为意愿提供了一种新的情感机制，丰富了相关文献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

An AI-driven approach to sustainability: the effect of AI accent on tourists’ pro-environmental behavioral intentions

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An AI-driven approach to sustainability: the effect of AI accent on tourists’ pro-environmental behavioral intentions

Tourists’ pro-environmental behavioral intention is crucial, but the nature of tourism (anonymity, hedonism, and temporariness) can deter tourists from engaging in it. Nowadays, AI has become a new approach to promoting such behavioral intention. This research examined how AI can enhance this effect, focusing on the role of local accents in AI communication. Using groundedness theory, four studies (and a supplemental study) investigated how AI accents influence tourists’ pro-environmental behavioral intentions, with groundedness acting as a mediator. Market segmentation indicated that these effects were significant only among tourists from large cities in China. Therefore, this research introduces a new emotional mechanism for tourists’ pro-environmental behavioral intention and enriches the literature on this topic.

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来源期刊

Journal of Hospitality and Tourism Management Multiple-

CiteScore

13.30

自引率

8.40%

发文量

177

审稿时长

45 days

期刊介绍： Journal Name: Journal of Hospitality and Tourism Management Affiliation: Official journal of CAUTHE (Council for Australasian Tourism and Hospitality Education Inc.) Scope: Broad range of topics including: Tourism and travel management Leisure and recreation studies Emerging field of event management Content: Contains both theoretical and applied research papers Encourages submission of results of collaborative research between academia and industry.