In big data era, tourism management, tourism services and tourism marketing have been profoundly influenced by complex data. Accordingly, Internet platforms have generated overwhelming data in different formats and provides possibilities to access a variety of data, from which tourism-related research may gain some new clues. Thus, it is an important task and opportunity for the tourism industry and tourism scholars to incorporate complex data. Although few literatures have preliminarily confirmed the superiority of complex data in solving tourism-related research problems, it still needs to be further developed in terms of tourism management, tourism services and tourism marketing in the context of complex data. In summary, the research and application of complex data for tourism research is being a fast-growing and promising topic.

Keywords: Complex data analysis; Tourism management; Tourism service; Tourism marketing; User generated content; E-word-of-mouth; Visual content analysis; Sentiment analysis.

This Special Issue aims to attract researchers interested in the aforementioned research areas, to advance complex data analysis and modelling in the field of tourism, and to provide more insightful perspectives for future research. Specifically, the research topic covers tourism management issues in most of tourism sector, such as tourism service, tourism marketing, tourism demand forecasting, sustainable tourism, hotel management.

Special attention should be paid to advanced artificial intelligence techniques and multi-modal complex data mining, such as deep learning, machine learning, natural language processing, neural networks, transfer learning, data preprocessing, image processing, text mining, computer vision, speech processing, social networks analysis, sentiment analysis, topic modelling and opinion mining so on. Moreover, given the worldwide COVID-19 pandemic, if relevant research can explore the role of complex data in tourism industry in the context of public emergencies, it will be an important supplement to this research topic.

In summary, we are interested in a large spectrum of manuscripts, including original research articles, applied case studies, and literature reviews, to fill in research gaps and provide reference for future research in this field.

Topics of interest include, but are not limited to:

1. Complex Data-powered Tourism Management:

a) tourism demand forecasting;

b) the behaviors and perceptions of tourists;

c) relations between tourists and residents;

d) countryside tour;

e) live streaming.

2. Complex Data-powered Tourism Service:

a) tourist decision-making;

b) tourism service performance;

c) travel itinerary recommendation;

d) personalized recommendations;

3. Complex Data-powered Tourism Marketing:

a) tourism destination image;

b) word of mouth reputation;

c) communication channel evaluation;

d) marketing evaluation.

Important Dates

Submission deadline: March 31, 2024

Publication schedule: August 31, 2024

Manuscripts should be submitted online at https://mc03.manuscriptcentral.com/syssi. Please specify the submission to “SI: Tourism Research” when uploading your paper. Manuscripts can be submitted until the deadline. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All submissions that pass pre-check are peer-reviewed. All manuscripts are thoroughly refereed through the standard peer-review process. A guide for authors and other relevant information for the submission of manuscripts is available on the author guidelines page. Submitted papers should be well formatted and use good English.

Guest Editors:

Prof. Dr. Shaolong Sun

School of Management, Xi'an Jiaotong University, China

Email: sunshaolong@xjtu.edu.cn

Prof. Dr. Yunjie Wei

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Email: weiyunjie@amss.ac.cn

Prof. Dr. Shouyang Wang

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Email: sywang@amss.ac.cn