Research on Online Reservation Preference of Hotel Consumers Based on Joint Analysis Method

Research on Online Reservation Preference of Hotel Consumers Based on Joint Analysis Method

Yi Meng (Lingnan Normal University, Zhanjiang, China) and Yuan Gao (Lingnan Normal University, Zhanjiang, China)
Copyright: © 2019 |Pages: 12
DOI: 10.4018/IJEIS.2019100105


With the rapid development of e-commerce, the online booking of hotel websites has become a very common way of booking. With a large number of tourists booking hotels online, with huge turnover, many online travel agencies pay more and more attention to the development, operation. and maintenance of the websites. For those online booking websites which provide hotel reservation information services, it is very important for their survival and development that they can satisfy customers, reduce their risk perception, and enhance their repeated purchase behavior in the process of hotel booking. Therefore, it is necessary to study the quality and operation efficiency of online hotel booking website. Based on the theory of consumer behavior, consumer preference, and product attributes, this article determines that the consumer preference for online hotel booking can be studied through consumer preferences for movie attributes. The basic theory of joint analysis method is studied, and the online reservation consumer preference theory is analyzed. Finally, a case study is carried out, and the results show that preferences of a consumer online reservation hotel can provide a favorable basis for making proper measurements.
Article Preview


After the new century, modern information technology has shown a rapid development trend. While cloud computing and big data were born, the Internet began to develop and popularize, and affected and changed the lifestyle of consumers from different aspects. How to attract more potential consumers and stimulate their purchasing willingness with the help of network platform has become the key to improve the competitiveness of many enterprises. By systematically combing the relevant research on online booking behavior of tourism scholars at home and abroad, there are three main directions: first, purchase decision-making process theory, mainly from the process of consumer booking decision-making, using empirical research method to analyze the influencing factors of decision-making stage; second, booking platform dominance theory, mainly focusing on credit risk, security factors and website availability of Online trading websites. Thirdly, the influence of sex on booking decision-making; thirdly, the influence theory of enterprise online information. Based on the analysis of online booking data of some hotels, it is concluded that customer comment information, Hotel feature information and recommendation information significantly affect the online booking volume of hotels, and the impact of different star hotels is compared and analyzed (Bilgihan & Bujisic, 2015). However, the research on consumers' online booking behavior preferences based on product attributes is very scarce. In the process of ordering products, consumers will consider the diversified attributes of products, and there are some differences in the importance of each attribute. How to identify the influencing factors of consumers' booking preferences, establish the internal relationship between consumers' booking preferences and the important attributes of online products, and then design online products to meet consumers' needs, and enhance the competitive advantage of enterprises through more humanized product design and higher quality service, these are the key contents of this paper. As a quantitative analysis tool, the joint analysis method provides a new research perspective for this paper.

Because of the outstanding advantages of joint analysis, more and more scholars pay attention to it. Joint analysis method is used to study consumers' buying behavior on mobile phones. First, he determines the attributes and levels of attributes of consumers' choosing and purchasing mobile phones (Wang et al., 2019; Bai et al., 2019), uses orthogonal design module to build virtual mobile phone product profile, and evaluates the importance of attributes, the utility value of attributes and the optimal utility combination of attributes level through consumer rating. The results show that for the development of new products such as mobile phones, the relative importance of the three attributes of brand, price and call time is relatively high, and the impact on consumers' purchase intention is also higher (Jiang et al., 2019; Li et al., 2019; Chen et al., 2019). Therefore, more attention should be paid to these factors in the development of new products for mobile phones. It has always been more effective. To meet the needs of consumers, Joint analysis method was applied to the employment selection of Master of Education postgraduates. Five attributes were selected, namely, the opportunity to develop talents, salary and treatment, the nature of the employment unit, and the working city. Personal interest. The joint analysis method is applied to analyze the purchase behavior of consumers' catering online group buying (Ahmed & Azizm, 2019; Valente et al., 2019). It is concluded that when consumers purchase catering group buying products, the factors they consider are the per capita price, catering types, business popularity, arrival traffic, discount strength and the number of restrictions on group buying consumption. Joint analysis method is used to provide consumers' demand response to the design of office chair shape, which enables manufacturers to design office chairs that are more satisfying and popular with consumers (Zhang et al., 2018; Abderrahman et al., 2019; Bai et al., 2019).

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 16: 4 Issues (2020): 1 Released, 3 Forthcoming
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing