The purpose of this study was to identify shopping orientation segments for US female consumers. The sample included 151 women, aged 18 years and over. This research examined differences in the segments relative to store patronage preferences (i.e. department, discount, specialty), attitude toward the environment of the store selected as first choice when shopping for a specific apparel item (i.e. a dress), and demographic characteristics. Cluster analysis revealed that four shopping segments described the female consumers. The segments were named Decisive Apparel Shopper, Confident Apparel Shopper, Highly Involved Apparel Shopper, and Extremely Involved Apparel Shopper, based on several shopping factors. Differences were found among the shopping orientation segments for store of first choice, attitude and household income. Implications and future research directions are discussed.
The purpose of this research was to examine the four aspects of approach‐avoidance behavior (physical, exploratory, communication, performance and satisfaction) of older apparel consumers (those aged 65 and over). This research also examined the differences in age and shopping orientations relative to the importance of retail store attributes. Participants were 208 older consumers residing in the Southeastern part of the USA. Survey results revealed that older consumers preferred to shop department stores and mass merchandisers for clothing. These consumers reported they would spend more time and money in retail stores that offered credit, discounts for those 65 and over, and liberal return policies. Furthermore, they reported they would not return to and would avoid looking around in retail stores without chairs or benches, with difficult to find items, inferior products, and poor business practices. No differences were found in the age of older consumers relative to the importance of store attributes and shopping orientations. However, differences were found in the shopping orientation groups relative to the importance placed on store attributes.
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