{"title":"Understanding Factors Affecting Smart Classroom Adoption","authors":"","doi":"10.4018/ijcrmm.2022010105","DOIUrl":null,"url":null,"abstract":"This study sheds light on the role of technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility), and knowledge sharing between teachers and students in predicting smart classroom adoption in the context of higher education in Saudi Arabia. We selected a sample of 285 instructors from 6 universities in Saudi Arabia. Structural equation modelling was utilised to analyse the data and test the suggested hypotheses. The results indicated that technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility) have a significant influence on intention to adopt smart classroom. Furthermore, knowledge sharing plays a significant role in predicting smart classroom adoption. The results offer meaningful implications for practice and theory.","PeriodicalId":37127,"journal":{"name":"International Journal of Customer Relationship Marketing and Management","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Customer Relationship Marketing and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcrmm.2022010105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This study sheds light on the role of technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility), and knowledge sharing between teachers and students in predicting smart classroom adoption in the context of higher education in Saudi Arabia. We selected a sample of 285 instructors from 6 universities in Saudi Arabia. Structural equation modelling was utilised to analyse the data and test the suggested hypotheses. The results indicated that technological factors (i.e., perceived usefulness, perceived enjoyment, and compatibility) have a significant influence on intention to adopt smart classroom. Furthermore, knowledge sharing plays a significant role in predicting smart classroom adoption. The results offer meaningful implications for practice and theory.