A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism

ABSTRACT

In reaction to the growing attention paid to big data and artificial intelligence in hospitality and tourism research, we systematically reviewed 270 relevant studies to identify topical themes and trends. We first briefly reviewed the emergence definition of big data. Next, we introduced the methodology of literature collection and presented results of bibliometric analysis. Then, we identified types of big data used and the application of artificial intelligence in big data usage in hospitality and tourism research, followed by unveiling major themes of big data and artificial intelligence research in extant literature such as forecasting, industry development, marketing, performance analysis, consumer behaviors, attitudes, and so on. In addition, implications and challenges of applying big data and artificial intelligence in hospitality and tourism research and new directions for future research are identified. Finally, we discuss limitations of our review, proposing future research directions for scholars.

随着大数据和人工智能在酒店业和旅游业研究中日益受到重视，我们系统地回顾了270项相关研究，以确定主题和趋势. 我们首先简要回顾了现有研究关于大数据的定义. 其次，介绍了文献收集的方法和文献计量分析的结果. 然后，我们确定了大数据的类型以及人工智能在大数据在酒店和旅游研究中的应用，接着揭示了现有文献中大数据和人工智能研究的主要主题，如预测、行业发展、市场营销、绩效分析、消费行为、态度等等. 此外，我们指出了大数据和人工智能应用于酒店和旅游研究的意义和挑战，以及未来研究的新方向. 最后，讨论了本文的局限性，为学者们提出了未来的研究方向.

KEYWORDS:

• Big data
• artificial intelligence
• hospitality
• tourism
• bibliometric analysis
• literature review

Acknowledgments

This work was supported by the Fundamental Research Funds for the Central Universities under Grant No. JBK2103002 and No. JBK2107078.

Additional information

Funding

This work was supported by the Fundamental Research Funds for the Central Universities [JBK2103002, JBK2107078].