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绘制基于人工智能的旅游和酒店营销的研究趋势:一个参考文献和主题审查

Pankaj Kumar Tyagi¹, Priyanka Aggarwal², Priyanka Tyagi¹

¹University Institute of Tourism and Hospitality Management, Chandigarh University, Mohali, Punjab, India.

|March 2, 2026

概括

旅游营销中的人工智能 (AI) 正在迅速发展,从2017年到2020年,研究的激增. 这项研究绘制了AI的地图.

科学领域:

旅游和酒店营销营销旅游和酒店营销
人工智能应用程序人工智能应用程序
图书统计分析图书统计分析

背景情况:

人工智能 (AI) 通过数据驱动的决策,个性化体验和智能目的地管理,显著影响旅游和酒店营销.
在合成这个领域的人工智能知识格局和主题演变方面存在一个知识差距,这阻碍了对研究趋势的理解.

研究的目的:

在旅游和酒店营销中对人工智能应用进行全面的文献计量和专题分析.
在这个领域内确定研究轨迹,新兴主题和智力结构.

主要方法:

使用SPAR-4-SLR. 来自Scopus的320篇论文 (2003-2025) 的系统文献综述.
使用VOSviewer和Biblioshiny进行文献计量分析,以查看出版趋势,作者和合作.
通过关键词同时出现网络进行主题分析,以确定研究集群.

主要成果:

旅游和酒店业人工智能出版物的显著增加发生在2017-2020年之间.
四个主要研究集群出现了:数字影响/游客行为,人工智能智能旅游生态系统,技术驱动的酒店创新和预测性旅游建模.
文献学合揭示了文件和国家一级的合作.

结论:

该研究绘制了人工智能在旅游和酒店营销领域不断发展的智能格局.
确定了显著的研究增长和独特的专题集群,指导未来的研究议程.
这项评估为理解人工智能的作用和该行业未来方向提供了基础.

关键词:

人工智能的人工智能图书统计分析图书统计分析热情好客热情好客热情好客营销营销营销营销营销过程创新过程创新这是一个SPAR-4-SLR镜头.系统的文献审查系统的文献审查主题分析专题分析旅游旅游旅游旅游

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