This study attempts a comparison between AHP(Analytic Hierarchy Process) in which the importance weight is structured by individual subjective values and regression model with importance weight based on statistical theory in determining the importance weight of casual model. The casual model is designed by for students’ satisfaction with university, and SERVQUAL modeling methodology is applied to derive factors affecting students’ satisfaction with university. By comparison of importance weights for regression model and AHP, the following characteristics are observed. 1) the lower the degree of satisfaction of the factor, the higher the importance weight of AHP, 2) the importance weight of AHP has tendency to decrease as the standard deviation(or p-value) increases. degree of decreases. the second sampling is conducted to double-check the above observations. This study empirically checks that the importance weight of AHP has a relationship with the mean and standard deviation(or p-value) of independence variables, but can not reveal how exactly the relationship is. Further research is needed to clarify the relationship with long-term perspective.

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.