Online Sizing: An Exploratory Study of True Fit® Technology Using Adapted TAM Model

dc.contributor.author Pookulangara, Sanjukta
dc.contributor.author Parr, Jacqueline
dc.contributor.author Kinley, Tammy
dc.contributor.author Josiam, Bharath
dc.date 2018-11-18T00:48:32.000
dc.date.accessioned 2020-06-30T05:43:03Z
dc.date.available 2020-06-30T05:43:03Z
dc.date.issued 2018-01-01
dc.description.abstract <p>Retail fashion is the fastest growing e-commerce sector, however, the industry is facing an issue in that one out of every three apparel purchases made online is returned. This is staggering considering all the new technologies available online, it seems incredible that something as seemingly simple as the sizing and fit of clothing remains such a mystery and challenge. This current study is exploratory in nature and utilizes and adapted Technology Acceptance Model and examines: (1) impact of perceived ease of use (PEOU) and perceived usefulness (PU) of using True Fit® on confidence of using True Fit® technology (2) the impact of confidence of using True Fit ® technology on intention to use True Fit ®. Data was collected via an online survey (n=577). Data was analyzed using descriptive statistics, factor analysis and SEM, all the hypotheses were supported except for influence of PEOU on intention to use True Fit®.</p>
dc.identifier archive/lib.dr.iastate.edu/itaa_proceedings/2018/presentations/10/
dc.identifier.articleid 3190
dc.identifier.contextkey 13319021
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath itaa_proceedings/2018/presentations/10
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/52164
dc.relation.ispartofseries International Textile and Apparel Association (ITAA) Annual Conference Proceedings
dc.source.bitstream archive/lib.dr.iastate.edu/itaa_proceedings/2018/presentations/10/MM_Pookulangara_TrueFit_RES.pdf|||Fri Jan 14 18:10:30 UTC 2022
dc.subject.disciplines E-Commerce
dc.title Online Sizing: An Exploratory Study of True Fit® Technology Using Adapted TAM Model
dc.type event
dc.type.genre oral
dspace.entity.type Publication
relation.isSeriesOfPublication 5d0f3f8c-2190-47b2-bb58-b59e2d1740d5
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