Studying the behavior of customers in Online Reservations Using Data Mining Technique and the Kano Model (Case Study: Four and Five Star Hotels in Tehran)

The purpose of this paper is to provide an integrated model of the Kano and associative rules for classifying customer needs and analyzing their behavior. The statistical population of this research includes customers of four and five-star hotels in Tehran. In this research, after collecting data, customers' expectations were categorized from the website by the Kano model and then the relationship between customer demographic characteristics and the results of the Kano model was specified by associative rules. The result of the classification of services by the Kano model shows that booking online and tracking reservations are in the category of basic needs; booking by e-mail and free download are in the category of functional needs, and information websites and e-newsletters are in the category of exciting needs. Also, as an example, the results of exploring associative rules show that for men, having an online reservation on a website is a basic need with the probability of 93%, but this is a basic need for women with the probability of 89%.