The development of Information Communication Technologies (ICTs) has dramatically changed the way of hotel booking. The increasing number of online consumers provides abundant data for demand forcasting in revenue management. The current methods e.g. historical data analysis, normally focus on studying consumers’ behaviors and preferences in the hotel but may not be able to integrate that out of the hotel such as dining, travelling, shopping and entertaining, which will bring crucial references to the co-relationship between these consumption and the way of hotel booking. This research adopts a persona approach to infer consumers’ preference probability by using a variety of real-time data. Quantitative methods are employed. In order to predict the booking needs accurately, this research establish a Bayesian network on the online platform for life service that can be associated with various consumer behavior data. The results indicate that in the environment of uncertain demand, the algorithm is effective and applicable, which will help directors of hotel revenue management in accurate price planning and decision making.

An increasing number of Internet users use hotel booking websites and online travel agencies to arrange trips and search for information related to their travels. This study investigates the impact of customer engagement on user perceptions of the quality and value of an online hotel-booking website, as well as whether such perceptions further influence user trust in online websites (eTrust) and result in behavioral intention of eLoyalty. The empirical results of structural equation modeling analysis of 400 questionnaire results collected in Taiwan reveal that customer engagement has a positive impact on perceived website quality (i.e., usability, ease of use, entertainment, and complementarity), which in turn influences perceived value. The results do not show a direct impact from customer engagement on perceived value. Finally, the results verify that eTrust mediates the relationship between consumers’ perceived website quality and behavioral intention of eLoyalty toward an online hotel-booking website; eTrust also mediates the relationship between consumers’ perceived value and behavioral intention of eLoyalty toward an online hotel-booking website. The findings provide both academic researchers and practitioners with a better understanding of customer engagement and facilitate development of more effective customer engagement strategies for online booking platforms.

Based on the data of Ctrip. com, this study analyzes the satisfaction of China tourists after booking hotels online when they travel to South Korea. Extract the online word-of-mouth data of Ctrip, analyze the comment data based on grounded theory, extract the keywords in the comments and sort them out to form the influencing factors of tourists’ hotel booking, split the comment sentences with python, analyze the keywords in the sentences, conduct emotional analysis with Python, score the emotional analysis of each influencing factor corresponding to each sentence, and finally get the satisfaction score of each factor. According to the score, it is proposed that Korean hotels should use more platforms for China tourists and China tourists to carry out targeted marketing activities, pay attention to language communication in service, and pay attention to the improvement of hotel facilities decoration with the change of tourists in China