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Applying Creative Computing in the Analysis of Smart Tourism Research in China

Volume 15, Number 2, February 2019, pp. 623-629
DOI: 10.23940/ijpe.19.02.p26.6236291

Gongpeng Zhanga,b, Yuncai Ninga, Chi Zhangb, Zhaogang Wanga, and Beu Leec

aSchool of Management, China University of Mining and Technology, Beijing, 100083, China
bCollaborative Innovation Center of eTourism, Beijing Union University, Beijing, 100101, China
cCollege of Business, Texas A&M University, San Antonio, Texas, 78224, USA

(Submitted on November 12, 2018; Revised on December 13, 2018; Accepted on January 17, 2019)


Understanding the contents of smart tourism comprehensively can provide abundant guidance and reference for the practices of smart tourism. It also helps to identify and overcome the shortcomings of smart tourism research. Based on the core ideas of creative computing, this paper constructs a word frequency matrix and performs cluster analysis by using keywords from smart tourism research. Then, the relevant keywords are extracted by using chi-squared statistics to interpret the cluster results. The results show that many creative articles focus on tourism information, the status quo and countermeasures of smart tourism, tourism information technology, and smart tourism scenic area management, which are the hot topics of domestic smart tourism research. Furthermore, tourism big data, tourism service supply chain, Internet + tourism, and tourism experience have recently attracted increasing attention. The impact of tourism industry policy and the application of new information technology have always been an important source of creativity in smart tourism research.


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