Exploring U.S. retailers' merchandising strategies for adaptive clothing: a big data analysis

Author(s)Laurits, Hannah M.
Date Accessioned2024-09-23T16:38:37Z
Date Available2024-09-23T16:38:37Z
Publication Date2024
SWORD Update2024-09-15T22:01:26Z
AbstractWith society’s increasing call for a more inclusive fashion industry, adaptive clothing, specifically designed for people with disabilities (PWD), has rapidly emerged as a critical and high-potential product category for U.S. retailers. By analyzing thousands of clothing items for sale in the U.S. retail market from 2018 to 2022 at the Stock Keeping Unit level, this study examined U.S. retailers’ merchandising strategies for adaptive clothing. The logistic regression revealed that statistically, adaptive clothing in the U.S. retail market looked more ‘boring’ or plain, and exhibited lower availability in several categories, including dresses, outerwear & suits, and underwear. Also, compared with nonadaptive clothing, adaptive clothing was statistically more likely to be priced higher than the market average. The findings generated critical new knowledge about the business aspect of adaptive clothing by adding a valuable retailers’ perspective. The results also call for efforts to make adaptive clothing more diverse in product categories and financially affordable to PWD consumers. ☐ Keywords: Adaptive clothing, People with Disabilities (PWD), Merchandising strategies, Product Assortment
AdvisorLu, Sheng
DegreeM.S.
DepartmentUniversity of Delaware, Department of Fashion and Apparel Studies
DOIhttps://doi.org/10.58088/3wh8-yv56
Unique Identifier1459754524
URLhttps://udspace.udel.edu/handle/19716/35099
Languageen
PublisherUniversity of Delaware
URIhttps://www.proquest.com/pqdtlocal1006271/dissertations-theses/exploring-u-s-retailers-merchandising-strategies/docview/3106198289/sem-2?accountid=10457
KeywordsAdaptive clothing
KeywordsMerchandising strategies
KeywordsPricing strategies
KeywordsU.S. retailers
KeywordsPeople with disabilities
TitleExploring U.S. retailers' merchandising strategies for adaptive clothing: a big data analysis
TypeThesis
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