Big Data in China Tourism Research: A Systematic Review of Publications from English Journals

Hengyun Li, Qian Wang, Lingyan Zhang, Danting Cai

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

Expansive data, collected and stored at unprecedentedly granular levels, are transforming the tourism landscape. Big data has received considerable attention in tourism-related research; a growing number of scholars are exploring the latest applications to exploit this resource’s underlying potential. Regular systematic reviews of the field’s progress and academic trends are needed, yet few efforts have addressed the Chinese context. Accordingly, this paper assesses 66 tourism articles featuring big data analytics in past decades and summarizes the literature by data types and research topics. Current trends and future directions are discussed based on the findings.

Original languageEnglish
JournalJournal of China Tourism Research
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Big data
  • China
  • literature review
  • tourism research

ASJC Scopus subject areas

  • Cultural Studies
  • Language and Linguistics
  • Linguistics and Language
  • Tourism, Leisure and Hospitality Management

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