A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
2020 International Conference on Big Data Application & Economic Management (ICBDEM 2020)
Online tourism information concern and product reservation have become the hot issues of online tourism research. With the help of factor analysis and structural equation model, this paper analyzes the characteristics of tourists' attention to online tourism route product information and its influence on their purchase intention. The results show: (1) Tourists pay attention to online tourism product information, which includes four dimensions: general elements of tourism products, comprehensivedoi:10.25236/icbdem.2020.069 fatcat:2x4d5xxmfvbbdoyielinu7ux5a