This study used the methods of decision tree analysis, association rule analysis, and Kano’s model to explore the behavior patterns of mainland China tourists staying at the international tourist hotels in Taiwan. To this end, the data of their demographics, travel variables, overall satisfaction with the lodging experience, different service quality perceptions, and loyalty intentions were included. The decision tree analysis showed that a tourist’s overall satisfaction with the lodging experience, satisfaction with the quality of core intangible services, and certain demographic characteristics are three important determinants of tourist loyalty towards the hotels. In terms of the effect of demographics, the customers’ monthly income and length of stay at the hotel are two main determinants in this study. In addition, if the customer perceptions of different parts of hotel service quality are taken into account, among the five hotel service quality domains, core intangible services from the receptionist, housekeeping personnel, and food & beverage personnel are found to be important influences on hotel customer loyalty intention. In other words, high quality intangible services are important for luxury hotels to demonstrate their unique ability to help customers experience the service quality that creates loyalty intentions. With regard to the association rule analysis, the results showed that core intangible service aspects from the receptionist, housekeeping personnel, and food & beverage personnel are strongly associated with customer loyalty intentions, as are the tangible aspects of the reception and hotel room facilities. The former indicated that reception in the hotel lobby could be considered one of the most important servicescapes because of its impact in forming many of the first impressions of hotel guests, while the latter is treated as core offerings in hotels that would be encountered by most hotel customers. If the tourists are mainly from package tours, the intangible services and tangible facilities of these areas are the important areas to create customer satisfaction. However, if the tourists are mainly independent tourists because they have more time and free choice to stay at the hotel longer than the package tour tourists, the intangible services and tangible facilities of the entertainment or business centers would be even more important to these tourists than to the package tour tourists. With regard to Kano’s model analysis, the results showed that, based on mainland China tourists’ perceptions, most of the service elements fit into the category of one-dimensional quality attributes. This means that these service elements are positively and linearly related to customer satisfaction, and the greater fulfillment of the attribute results in a greater degree of satisfaction. This also means that hotels should make more effort to innovate their intangible services and tangible facilities to create business advantages in the market.

I suggest a new method to determine the importance values of quality attributes which use the satisfaction index and dissatisfaction index of customer in Kano's model. A case study of TV set are solved by the proposed method and the result is compared with AHP pairwise comparisons and ASC(Average Satisfaction Coefficient). The results of the proposed method is similar with those of AHP pairwise comparisons and ASC. The proposed method is an effective tool to determine the importance values of quality attributes to supplement existing research's shortcomings.

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements(:must-be, one-dimensional, attractive requirements which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. As there were a few limitations on the Kano's method and on the Timko's customer satisfaction index method. The objective of this study is to provide improved methodology based on the Kano's method. One case studies are solved by the proposed method.

Importance-Performance Analysis(IPA) is a well-known methodology to find the area for improvement. However, the IPA uses different strategies depending on an attribute falls in either 'Concentrate', 'Keep up', 'Possible overkill', or Low priority' quadrant. Problems can occur when attributes locate near the demarcation lines. To solve this problem of IPA, I suggest a modified importance-satisfaction analysis which integrates the Slack(1994)'s diagonal approach and Kano's ASC(Jang et al., 2012) into Yang(2003)'s Importance-Satisfaction model. For this, I investigated 21 smartphone's quality attributes, which adopted from Song and Park(2012)'s study, and conducted a survey of 280 university students for the results of Kano' model and the importance and satisfaction of the quality attributes. The results show that the proposed model enables the business managers to prioritize the quality attributes for improvement through the interpretation on the continuous diagonal line using the Kano's questionnaire only, without acquiring any additional survey for importance of attributes. Accordingly, it is expected that the newly proposed method will diminish the limitation of the existing IPA. In addition, to test the validity of the ASC, this study conducts a comparative analysis between the Kano's ASC and Tontini(2007)'s method to determine the relative importance of quality attributes.

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction. we must understand customer requirements. Kano distinguishes between three types of product requirements(:must-be, one-dimensional, attractive requirements. which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, we analyzes the factors that influence College Student's Satisfaction of teaching using Kano Model, Timko's CS-Coefficient.