Resistance to AI-designed customized travel: the role of perceived personalization

个性化 抗性(生态学) 心理学 广告 业务 营销 生态学 生物
作者
Jin Wen Niu,Kai Wang,Lei Wang,Wen-Qi Ruan,Haowen Xiao
出处
期刊:Tourism Review [Emerald Publishing Limited]
卷期号:81 (2): 651-668 被引量:7
标识
DOI:10.1108/tr-09-2024-0824
摘要

Purpose The purpose of this study is to examine tourists’ acceptance of artificial intelligence (AI) in the customized travel industry, focusing on its role in travel planning and design. While AI offers advantages such as increased efficiency and cost reduction, its acceptance as a travel designer remains uncertain. The authors examine whether tourists are willing to accept AI as their customized travel designer and, more importantly, whether personalization mediates this process. Design/methodology/approach Using an experimental approach to guide participants through scenarios, the authors manipulated the source of the designer (AI vs human) and measured tourists’ acceptance of AI in comparison to human designers. This study consists of two experiments, supported by 398 valid questionnaires, which were used to examine the proposed hypotheses and model. Findings The findings of this study indicate a notable reluctance to adopt AI as a customized travel designer. This resistance stems from the belief that AI is unable to address individuals’ unique needs, leading to a reduced sense of personalization and lower acceptance. Furthermore, positioning AI as a supportive tool rather than the primary decision-maker in the customized travel design process can mitigate this resistance. Originality/value This research offers early recognition of tourists’ resistance to AI in customized travel services and expands understanding of AI’s role in this context. From a practical perspective, this study provides feasible strategies to address this resistance, offering actionable recommendations for various stakeholders involved.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
哭泣仙人掌完成签到,获得积分10
刚刚
不尘发布了新的文献求助10
刚刚
tan90发布了新的文献求助10
刚刚
maidoudou发布了新的文献求助10
1秒前
yyytttt发布了新的文献求助10
1秒前
筱鳴童學完成签到,获得积分10
1秒前
2秒前
2秒前
糊涂涂发布了新的文献求助10
2秒前
2秒前
hhhhh完成签到,获得积分10
2秒前
Murphy完成签到 ,获得积分10
2秒前
3秒前
斯文败类应助Dyf采纳,获得10
3秒前
monica发布了新的文献求助10
4秒前
小妮完成签到,获得积分10
4秒前
zgx完成签到,获得积分10
4秒前
CEN完成签到,获得积分10
4秒前
5秒前
5秒前
项空月完成签到,获得积分20
5秒前
苻冰露完成签到,获得积分10
5秒前
Akim应助gyy采纳,获得10
5秒前
raffinose发布了新的文献求助10
6秒前
6秒前
一个工人完成签到,获得积分10
7秒前
领导范儿应助Anna采纳,获得10
7秒前
嗷嗷完成签到,获得积分10
7秒前
Jasper应助guanghuiLI采纳,获得10
8秒前
洛黎发布了新的文献求助30
8秒前
领导范儿应助临风不自傲采纳,获得10
8秒前
星辰大海应助Cannonball采纳,获得10
9秒前
FashionBoy应助Dawn采纳,获得10
9秒前
ASLYJS发布了新的文献求助10
9秒前
9秒前
可爱的梦菲完成签到,获得积分10
9秒前
10秒前
libai发布了新的文献求助10
10秒前
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7773841
求助须知:如何正确求助?哪些是违规求助? 9315871
关于积分的说明 20348058
捐赠科研通 7359617
什么是DOI,文献DOI怎么找? 3317295
关于科研通互助平台的介绍 2465859
邀请新用户注册赠送积分活动 2332488