The purpose of this study was to investigate the effects of emotional-utilitarian motivation on coffee shop selection attribution. Based on a total of 276 samples obtained from empirical research, the results of the survey were analyzed by using SPSS 22.0. The results of this study were as follows. Firstly, the results of exploratory factor analysis of coffee shop selection attribution emphasized service, coffee quality, diversity of menu, atmosphere, convenience, and price. Secondly, the customers showed higher emotional motivation than utilitarian motivation. Thirdly, emotional motivation had a significant effect on perception of ‘service’, ‘coffee quality’, and ‘atmosphere’. On the other hand, utilitarian motivation had a significant effect on ‘service’, ‘diversity of menu’, ‘convenience’, and ‘price’.

The purpose of this study was to understand the influence of instant noodle's selection attribution on satisfaction and to empirically analyze whether or not grade (elementary schoolchildren, middle school students, high school students) plays a moderating role in the relationship between selection attribution and satisfaction. Further, this study examined the differences in demographic characteristics among two groups of subjects divided by instant noodle's selection attribution. Based on a total of 1021 samples, this study verified a total of 3 hypotheses using the SPSS program. Data were analyzed by frequency analysis, chi-square, t-test, factor analysis, reliability analysis, cluster analysis, discriminant analysis, and hierarchical regression analysis. Results of the study were as follows. There were three different instant noodle's selection attributions among the children and adolescents investigated: internal element, external element, and company reliability. The multiple regression results show that internal element (=.391), external element (=.239), and company reliability (=.063) among customers' selection attributions had significant positive effects on satisfaction. In addition, the effect of selection attribution upon satisfaction was partially moderated according to grade. Further, cluster analysis divided subjects into two groups according to instant noodle's selection attribution: high-selection group vs. low-selection group. The wo groups of subjects classified by instant noodle's selection attribution were also different from each other in demographic characteristics. Limitations and future research directions are also discussed.