Profiling Second-hand Clothing Shoppers with Decision Tree Predictive Model

dc.contributor.author Zaman, Md. Mostafa
dc.contributor.author Kwon, Theresa
dc.contributor.author Laemmerhirt, Katrina
dc.contributor.author Kim, Youn-Kyung
dc.date 2018-10-19T06:15:09.000
dc.date.accessioned 2020-06-30T05:40:35Z
dc.date.available 2020-06-30T05:40:35Z
dc.date.issued 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/lib.dr.iastate.edu/itaa_proceedings/2017/presentations/139/
dc.identifier.articleid 2346
dc.identifier.contextkey 11665086
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath itaa_proceedings/2017/presentations/139
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/51812
dc.relation.ispartofseries International Textile and Apparel Association (ITAA) Annual Conference Proceedings
dc.source.bitstream archive/lib.dr.iastate.edu/itaa_proceedings/2017/presentations/139/SSR_Zaman_Profiling_20Second_hand_20Clothing_20Shoppers.pdf|||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
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