Fashion Business Commons^™

Buying Behaviors Of Generation X Women On Fast Fashion Products: A Mixed Methods Study, Yiyue Fan

Department of Textiles, Merchandising, and Fashion Design: Dissertations, Theses, and Student Research

Fast fashion has changed the world’s fashion industry and consumer behavior extensively. Not only has the fast fashion provided “hot” products that capture the latest fashion trends from the catwalk, but has also allowed consumers purchase products with affordable prices (Su et al., 2016). Generation X is an important age group to study since it “bridged pre-digital and digital cultures, liberal and neo-conservative political swings, material abundance and economic hardship, social engagement” and has an important role in bridging baby boomers and the Millennials (Katz, 2017). A lot of literature is available about Millennials consumer buying behavior, but very little …

Gender Differences Associated With The Evolution Of Attributes Sought In Sports Apparel, Jami Adler

Senior Honors Projects, 2010-2019

Since the turn of the century, many things have changed around the world, with a focus on the athletic apparel and fashion industries. Using Fowler’s (1999) research regarding the attributes sought in sports apparel, this study serves as a replication to determine how attributes sought in sports apparel have evolved. Online surveying through Qualtrics was utilized for data collection. The research explored the trend of Athleisure and the rising demand for versatile clothing. The role of gender and its associated differences significantly influenced the attributes sought in sports apparel. In addition, this study explored three additional attributes that consumers evaluate …

Development And Marketing Of A Repurposed Textile Product For Homeless Individuals In Northwest Arkansas, Mckenna Whitaker, Beau Broyles, Lindsey Stone

Apparel Merchandising and Product Development Undergraduate Honors Theses

Growing concerns over waste disposal methods have led to a greater focus on recycling efforts in the textile industry. Second only to the oil industry, the textile industry continues to be one of the most wasteful among leading businesses around the world and determining ways to repurpose fashion materials could be a reasonable solution to this growing problem (Dobilaite, V., Mileriene, G., Juciene, M., & Sacevičienė, 2017). In addition to alleviating disposal issues, repurposed materials could serve the humanitarian needs of local communities, and even more importantly, could specifically benefit homeless populations. The purpose of this project was to design, …

Identifying The Influences Of Psychological Factors On Fashion Customization, Sukyung Seo

LSU Master's Theses

As environmental concerns have been increasing and fashion market condition has been fierce and competitive ever before due to consumers’ ever-changing fashion tastes, customization has received growing attention considering as a solution to overcome those challenges. Despite the numerous attention, research on customization has been limited to only issues from business viewpoints whereas studies from consumers’ standpoints are little.

The purpose of the study was to examine how consumers’ psychological properties (i.e., self- promotion, need for uniqueness, self-expression, social identity, self-monitoring, and other-directedness) affect buying intention of customized apparel products mediated by perceptions of customization and extended-self. To achieve the …

The Economic Implications Of Nba Player Achievements On Athletic Apparel Companies, Paul Andrew Maddock Ii

CMC Senior Theses

This paper aims to measure the economic impact of different NBA player achievements on the athletic apparel companies, Nike, Adidas, and Under Armour. It looks at players affiliated with the brands who participated in three different events in the NBA from from 2007 to 2017: the All-Star game, the All-NBA awards, and starting lineups in the Finals. Monthly stock returns for each company were calculated for the months the events took place: January, February, May, and June. The return of each company was then regressed on total number of players each company had in the events. Four total regressions were …