{"title":"Technology Acceptance Model y mayores: ¿la educación y la actividad laboral desarrollada son variables moderadoras?","authors":"Begoña Peral Peral , Jorge Arenas Gaitán , María Ángeles Ramón-Jerónimo","doi":"10.1016/S1138-1442(14)60005-X","DOIUrl":null,"url":null,"abstract":"<div><p>Our aim in this work is to analyze the impact, as moderator variables, of the level of education and the profession on the Internet acceptance level in people older than 50 years old. We propose a model based on a Technology Acceptance Model (TAM). We contrast the moderator hypotheses proposed using Partial Least Squares (PLS) and multi-group analysis. The results support the suitability of the model showing a non-significant moderator effect of the profession, whereas the education level presents a higher explanatory power for older adults with no university degree. In addition, TAM appears to be an appropriatetool to explain the heterogeneity of this segment as regards the Internet.</p></div>","PeriodicalId":101110,"journal":{"name":"Revista Espa?ola de Investigación de Marketing ESIC","volume":"18 1","pages":"Pages 43-56"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1138-1442(14)60005-X","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Espa?ola de Investigación de Marketing ESIC","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S113814421460005X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Our aim in this work is to analyze the impact, as moderator variables, of the level of education and the profession on the Internet acceptance level in people older than 50 years old. We propose a model based on a Technology Acceptance Model (TAM). We contrast the moderator hypotheses proposed using Partial Least Squares (PLS) and multi-group analysis. The results support the suitability of the model showing a non-significant moderator effect of the profession, whereas the education level presents a higher explanatory power for older adults with no university degree. In addition, TAM appears to be an appropriatetool to explain the heterogeneity of this segment as regards the Internet.