Profiling Second-hand Clothing Shoppers with Decision Tree Predictive Model Zaman, Md. Mostafa Kwon, Theresa Laemmerhirt, Katrina Kim, Youn-Kyung 2018-10-19T06:15:09.000 2020-06-30T05:40:35Z 2020-06-30T05:40:35Z 2017-01-01
dc.description.abstract <p>In the last twenty years, second-hand clothing market has drastically grown. Prior research has identified a number of factors that determine second-hand clothing shopping. Those factors can be categorized as product attributes (e.g., quality and uniqueness) or personal orientation, which can be either self-oriented (e.g., fashion consciousness and price-consciousness) or others-oriented (e.g., environmentally conscious consumption behavior and socially conscious consumption behavior). This study extends previous research on second-hand clothing by demonstrating the joint effect and the relative importance of product attributes and personal orientation factors (self-oriented and others-oriented) on second-hand clothing shopping by building a binary decision tree model using Recursive Partitioning (RPART) method. Results show that price-consciousness, quality, and uniqueness are the most important factors that characterize high second-hand clothing shopping. Surprisingly, high fashion consciousness, jointly with low price- consciousness and high ECCB described high second-hand shopping segment. Implications are discussed.</p>
dc.identifier archive/
dc.identifier.articleid 2346
dc.identifier.contextkey 11665086
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath itaa_proceedings/2017/presentations/139
dc.relation.ispartofseries International Textile and Apparel Association (ITAA) Annual Conference Proceedings
dc.source.bitstream archive/|||Fri Jan 14 20:03:46 UTC 2022
dc.subject.disciplines Fashion Business
dc.subject.disciplines Fashion Design
dc.subject.disciplines Fiber, Textile, and Weaving Arts
dc.title Profiling Second-hand Clothing Shoppers with Decision Tree Predictive Model
dc.type event
dc.type.genre event
dspace.entity.type Publication
relation.isSeriesOfPublication 5d0f3f8c-2190-47b2-bb58-b59e2d1740d5
Original bundle
Now showing 1 - 1 of 1
384.79 KB
Adobe Portable Document Format