{"title":"The impact of prior experience on shopping behaviors","authors":"Kuo-Wei Su, Jau-Wen Wang, M. Hsu","doi":"10.1080/10170669.2012.715595","DOIUrl":null,"url":null,"abstract":"This study explores the effects of prior experience on determinants of repurchase intention and antecedents of perceived uncertainty in an online shopping environment. The study proposes a model which integrates perceived uncertainty, trust, and technology acceptance model (TAM). Structure Equation Modeling (SEM) is used to find out the difference between low- and high-experienced online shoppers. The results indicate that trust in an e-vendor vis-à-vis the TAM constructs has consistent effects on all experienced online shoppers. However, perceived uncertainty affects only the low-experienced online shoppers’ trust in an e-vendor. The data also shows that the sources of perceived uncertainty, which is classified into relationship uncertainty and environmental uncertainty, are different for the low- and high-experienced online shoppers. Our findings provide the managers of e-vendors with the information about the difference in the online shoppers’ prior experiences.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Chinese Institute of Industrial Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10170669.2012.715595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This study explores the effects of prior experience on determinants of repurchase intention and antecedents of perceived uncertainty in an online shopping environment. The study proposes a model which integrates perceived uncertainty, trust, and technology acceptance model (TAM). Structure Equation Modeling (SEM) is used to find out the difference between low- and high-experienced online shoppers. The results indicate that trust in an e-vendor vis-à-vis the TAM constructs has consistent effects on all experienced online shoppers. However, perceived uncertainty affects only the low-experienced online shoppers’ trust in an e-vendor. The data also shows that the sources of perceived uncertainty, which is classified into relationship uncertainty and environmental uncertainty, are different for the low- and high-experienced online shoppers. Our findings provide the managers of e-vendors with the information about the difference in the online shoppers’ prior experiences.