E3S Web Conf.
Volume 258, 2021Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|Number of page(s)||10|
|Section||Environmental Planning and Economic|
|Published online||20 May 2021|
Enhancing online customer engagement in online room reservation: a structural modelling approach
National Institute of Development Administration, Bangkok, Thailand
* Corresponding author: firstname.lastname@example.org
This research purposes to develop a structural equation model of enhancing online customer. The samples of this study consisted of 451 respondents who have purchased online room reservation via the website by convenient sampling method. The research instrument is a questionnaire. The data are analyzed by descriptive statistics and confirmatory factor analysis with AMOS. The result is the structural model of the confirmatory factor analysis of enhancing online customer engagement in online room reservation with empirical data Chi-Square/Df = .954, CFI = 1.000, RMSEA = .000, RMR = .006, and TLI = 1.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.