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Comparing online travel review platforms as destination image information agents

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  • Xinxin Guo

    (University of Eastern Finland)

  • Juho Pesonen

    (University of Eastern Finland)

  • Raija Komppula

    (University of Eastern Finland)

Abstract

Online travel reviews have been extensively used as an important data source in tourism research. Typically, data for online travel review research is collected only from one platform. However, drawing definite conclusions based on single platform analyses may thus produce biases and lead to erroneous conclusions and decisions. Therefore, this research verifies whether or not there are discrepancies and commonalities between different travel review platforms. In this study, five native Chinese travel review platforms were selected: Ctrip; Qyer; Mafengwo; Tuniu; and Qunar. Using a mixed content analysis method, the destination image of Finland was extracted from 10,197 travel reviews in Simplified Chinese as the destination image is a popular topic in online review research. Results show Finland’s destination image representation varies between Chinese travel review platforms. This discrepancy is especially prominent in the dimension of functional and mixed functional-psychological destination attributes. Significant theoretical contributions and managerial implications for the analysis of online travel reviews and destination image research are discussed.

Suggested Citation

  • Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
    • Handle: RePEc:spr:infott:v:23:y:2021:i:2:d:10.1007_s40558-021-00201-w
    DOI: 10.1007/s40558-021-00201-w
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