{"title":"Personalised learning systems: drivers of employees' behavioural intention","authors":"Sandra Schlagheck, Gerhard Schewe","doi":"10.1504/ijwet.2023.133621","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Web Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijwet.2023.133621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
期刊介绍:
The IJWET is a refereed international journal providing a forum and an authoritative source of information in the fields of web engineering and web technology. It is devoted to innovative research in the analysis, design, development, use, evaluation and teaching of web-based systems, applications, sites and technologies.