A SEM-Neural network approach for predicting antecedents of factors influencing consumers' intent to install mobile applications
| dc.contributor.author | Akgül, Yakup | |
| dc.date.accessioned | 2021-02-19T21:20:53Z | |
| dc.date.available | 2021-02-19T21:20:53Z | |
| dc.date.issued | 2018 | |
| dc.department | ALKÜ | |
| dc.description.abstract | This chapter explores the present gap in the literature regarding the acceptance of mobile applications by investigating the factors that affect users' behavioral intention to use apps in Turkey. First, structural equation modeling (SEM) was used to determine which variables had significant influence on intention to install. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results reveal that habit, performance expectancy, trust, social influence, and hedonic motivation affect the users' behavioral intention to use apps. © 2018, IGI Global. | |
| dc.identifier.doi | 10.4018/978-1-5225-4029-8.ch012 | |
| dc.identifier.endpage | 308 | en_US |
| dc.identifier.isbn | 9781522540304; 1522540296; 9781522540298 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 262 | en_US |
| dc.identifier.uri | https://doi.org/10.4018/978-1-5225-4029-8.ch012 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12868/749 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Akgül, Y. | |
| dc.language.iso | en | |
| dc.publisher | IGI Global | |
| dc.relation.ispartof | Mobile Technologies and Socio-Economic Development in Emerging Nations | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.title | A SEM-Neural network approach for predicting antecedents of factors influencing consumers' intent to install mobile applications | |
| dc.type | Book Chapter |
