{"title":"User satisfaction with an Internet-based learning medium","authors":"Christy M. K. Cheung, Matthew K. O. Lee","doi":"10.1109/I-SOCIETY16502.2010.6018752","DOIUrl":null,"url":null,"abstract":"The study is one of the very few attempts to investigate antecedents and consequences of satisfaction with an Internet-based learning medium. By extending McKinney et al.'s (2002) web-customer satisfaction model, the research model postulates a positive link between overall satisfaction and intention to continue to use an ILM. Data collected from 504 undergraduate students are examined through the Structural Equation Modeling approach with Partial Least Squares (PLS). Empirical findings demonstrated that our research model provided a relatively high explanatory power. Moreover, all hypothesized associated were found statistically significance. The implications of this study are noteworthy for both researchers and practitioners.","PeriodicalId":407855,"journal":{"name":"2010 International Conference on Information Society","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Information Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SOCIETY16502.2010.6018752","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
The study is one of the very few attempts to investigate antecedents and consequences of satisfaction with an Internet-based learning medium. By extending McKinney et al.'s (2002) web-customer satisfaction model, the research model postulates a positive link between overall satisfaction and intention to continue to use an ILM. Data collected from 504 undergraduate students are examined through the Structural Equation Modeling approach with Partial Least Squares (PLS). Empirical findings demonstrated that our research model provided a relatively high explanatory power. Moreover, all hypothesized associated were found statistically significance. The implications of this study are noteworthy for both researchers and practitioners.