{"title":"The Acceptance and Use of the Learning Management System","authors":"Din Jong","doi":"10.1109/ICICIC.2009.347","DOIUrl":null,"url":null,"abstract":"The study utilized UTAUT (Venkatesh et. al., 2003) to determine technology acceptance of learning management system of Taiwan technical university students. This study used cluster sampling and stepwise regression analysis to determine the relationships among constructs. Research results showed that performance expectancy, attitude toward using technology, facilitating conditions, self-efficacy, and social influence have significant influence on behavior intention. Additionally, only behavior intention, attitude toward using technology, and social influence have direct impact on system usage.","PeriodicalId":240226,"journal":{"name":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIC.2009.347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The study utilized UTAUT (Venkatesh et. al., 2003) to determine technology acceptance of learning management system of Taiwan technical university students. This study used cluster sampling and stepwise regression analysis to determine the relationships among constructs. Research results showed that performance expectancy, attitude toward using technology, facilitating conditions, self-efficacy, and social influence have significant influence on behavior intention. Additionally, only behavior intention, attitude toward using technology, and social influence have direct impact on system usage.