{"title":"网络学习环境下影响学习者抗拒的因素——以电算化会计资格课程为例","authors":"","doi":"10.32956/kaoca.2021.19.1.23","DOIUrl":null,"url":null,"abstract":"This study analyzed the relationship between innovation characteristics(relative advantage, compatibility, complexity, perceived risk) and online learning quality(contents quality, interaction quality, system quality) factors on learner resistance and service continuance intention in an online learning environment. To this end, research model development and hypotheses were established through a comprehensive review of related prior studies, and data collection and hypothesis testing were performed on a total of 309 experienced persons who had learned the computerized accounting qualification course online. The main results of this study are as follows. First, it was found that all four innovation attributes, such as relative advantage, relevance, complexity, and perceived risk, had a significant effect on learner resistance. Second, it was found that three of the innovation attributes, such as relative advantage, complexity, and perceived risk, had a significant effect on continuance intention, while compatibility had no significant effect. Third, the resistance of online learning users was found to have a significant effect on the continuance intention. Finally, it was found that among online learning qualities, content quality and interaction quality had a positive (+) effect on continuance intention, while system quality had no significant effect. Based on the results of this study, academic and practical implications and future research directions are presented.","PeriodicalId":246190,"journal":{"name":"Korean Association Of Computers And Accounting","volume":"240 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Influencing Learner Resistance in Online Learning Environment: Focused on the Computer Accounting Qualification Courses\",\"authors\":\"\",\"doi\":\"10.32956/kaoca.2021.19.1.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study analyzed the relationship between innovation characteristics(relative advantage, compatibility, complexity, perceived risk) and online learning quality(contents quality, interaction quality, system quality) factors on learner resistance and service continuance intention in an online learning environment. To this end, research model development and hypotheses were established through a comprehensive review of related prior studies, and data collection and hypothesis testing were performed on a total of 309 experienced persons who had learned the computerized accounting qualification course online. The main results of this study are as follows. First, it was found that all four innovation attributes, such as relative advantage, relevance, complexity, and perceived risk, had a significant effect on learner resistance. Second, it was found that three of the innovation attributes, such as relative advantage, complexity, and perceived risk, had a significant effect on continuance intention, while compatibility had no significant effect. Third, the resistance of online learning users was found to have a significant effect on the continuance intention. Finally, it was found that among online learning qualities, content quality and interaction quality had a positive (+) effect on continuance intention, while system quality had no significant effect. Based on the results of this study, academic and practical implications and future research directions are presented.\",\"PeriodicalId\":246190,\"journal\":{\"name\":\"Korean Association Of Computers And Accounting\",\"volume\":\"240 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Korean Association Of Computers And Accounting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32956/kaoca.2021.19.1.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Association Of Computers And Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32956/kaoca.2021.19.1.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factors Influencing Learner Resistance in Online Learning Environment: Focused on the Computer Accounting Qualification Courses
This study analyzed the relationship between innovation characteristics(relative advantage, compatibility, complexity, perceived risk) and online learning quality(contents quality, interaction quality, system quality) factors on learner resistance and service continuance intention in an online learning environment. To this end, research model development and hypotheses were established through a comprehensive review of related prior studies, and data collection and hypothesis testing were performed on a total of 309 experienced persons who had learned the computerized accounting qualification course online. The main results of this study are as follows. First, it was found that all four innovation attributes, such as relative advantage, relevance, complexity, and perceived risk, had a significant effect on learner resistance. Second, it was found that three of the innovation attributes, such as relative advantage, complexity, and perceived risk, had a significant effect on continuance intention, while compatibility had no significant effect. Third, the resistance of online learning users was found to have a significant effect on the continuance intention. Finally, it was found that among online learning qualities, content quality and interaction quality had a positive (+) effect on continuance intention, while system quality had no significant effect. Based on the results of this study, academic and practical implications and future research directions are presented.