{"title":"Does Experience Matter? Understanding the Changes of Consumers’ Evaluation After Using an Online Apparel Mass Customization System","authors":"Chuanlan Liu, Yuli Liang","doi":"10.31274/ITAA.12035","DOIUrl":null,"url":null,"abstract":"By conducting an experiment, this research investigated consumers’ evaluation before and after using an Online Apparel Mass Customization (OAMC) system. A research model and hypotheses were developed based on a review of literature on technology acceptance (i.e., usefulness and ease of use), with additional factors including enjoyment, risks, and choice variety. The empirical study was conducted in a marketing research lab with student participants recruited from a major university in the United States. Descriptive statistics, reliability, K-Means cluster analysis, and paired-samples T-test were used to test the proposed hypotheses. Results indicated that consumers who have better impressions toward an OAMC turned to have a significantly lower rate on enjoyment, ease of use, and choice variety evaluation; while consumers who have a lower expectation beforehand have a significantly higher evaluation on enjoyment, but a significantly lower evaluation on ease of use. Theoretical and practical implications were presented.","PeriodicalId":129029,"journal":{"name":"Pivoting for the Pandemic","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pivoting for the Pandemic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31274/ITAA.12035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
By conducting an experiment, this research investigated consumers’ evaluation before and after using an Online Apparel Mass Customization (OAMC) system. A research model and hypotheses were developed based on a review of literature on technology acceptance (i.e., usefulness and ease of use), with additional factors including enjoyment, risks, and choice variety. The empirical study was conducted in a marketing research lab with student participants recruited from a major university in the United States. Descriptive statistics, reliability, K-Means cluster analysis, and paired-samples T-test were used to test the proposed hypotheses. Results indicated that consumers who have better impressions toward an OAMC turned to have a significantly lower rate on enjoyment, ease of use, and choice variety evaluation; while consumers who have a lower expectation beforehand have a significantly higher evaluation on enjoyment, but a significantly lower evaluation on ease of use. Theoretical and practical implications were presented.