This study investigated college student's image of apparel retail stores associated with shopping environment, price, and fashion innovativeness and their self-perception of appearance and fashion innovativeness. These served as the dependent and independent variables, respectively. University of North Texas students residing in on-campus housing completed a self-administered questionnaire measuring each variable. Repeated measure ANOVAs determined differences in self-perceptions and store images across four stores varied by fashion (innovative/mass) and price (high/low). Results indicated that perceptions for shopping environment, price, and fashion innovativeness differed by store. Students' appearance and fashion innovativeness had no significant effect on their perceptions of apparel retail store image. Students perceive stores differently based on shopping environment, price, and fashion innovativeness.

This study investigated demographic characteristics of 240 Chamber of Commerce members in terms of their expectations for customer service in hotels. Subjects reported their age, gender, marital status, race, educational level, income level and ethnicity, and completed a 26-item questionnaire which measured expectations for customer service. Principal components analysis was used to reduce the 26 items to five dimensions of service quality, and multivariate analysis of variance was used to evaluate the effect of the demographic variables on those dimensions. Gender of the customer was found to have a significant effect on the combined dimensions of service quality; other variables were not significant.

Service quality defined by the customer is an important element in satisfying customers and may determine retail survival. The SERVQUAL instrument measured desired and minimum expectations and perceptions of service quality in a small apparel specialty store. Factor analysis with varimax rotation resulted in three dimensions of service quality for both desired and minimum levels of expectations and perceptions: (a) Personal Attention, (b) Reliability, and (c) Tangibles. Regression analyses determined the relationship between overall service quality (OSQ) and various predictor variables. Based on gap scores between desired expectations and perceptions, the Personal Attention and Tangibles dimensions were significant in predicting OSQ. SERVQUAL is a managerial tool that small apparel retailers may use to improve service quality.