{"title":"Extending TAM to Understand Library User Acceptance of E-Books in Tanzania","authors":"D. Koloseni, H. Mandari, Vincent T. Msonge","doi":"10.4018/IJLIS.20210701.OA4","DOIUrl":null,"url":null,"abstract":"This study was conducted to examine antecedents that influence acceptance of e-books in Tanzania. The study extended TAM model with accessibility, perceived cost, and technological support to develop a conceptual model that was used to examine acceptance of e-books in Tanzania. Quantitative study was conducted using self-administered questionnaire in which snowball technique was used to identify potential respondents. The questionnaires were distributed using online Google form, and 314 usable responses were collected. A multivariate data analysis technique known as structural equation modeling (SEM) was employed to establish relationships between the hypothesized relationships. The findings show that perceived ease-of-use, accessibility, and technical support have significant effect on acceptance of e-books in Tanzania. Several implications that will lead to acceptance of e-books in Tanzania are provided.","PeriodicalId":202179,"journal":{"name":"International Journal of Library and Information Services","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Library and Information Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJLIS.20210701.OA4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This study was conducted to examine antecedents that influence acceptance of e-books in Tanzania. The study extended TAM model with accessibility, perceived cost, and technological support to develop a conceptual model that was used to examine acceptance of e-books in Tanzania. Quantitative study was conducted using self-administered questionnaire in which snowball technique was used to identify potential respondents. The questionnaires were distributed using online Google form, and 314 usable responses were collected. A multivariate data analysis technique known as structural equation modeling (SEM) was employed to establish relationships between the hypothesized relationships. The findings show that perceived ease-of-use, accessibility, and technical support have significant effect on acceptance of e-books in Tanzania. Several implications that will lead to acceptance of e-books in Tanzania are provided.