Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model

Carlos Tam (), Diogo Santos () and Tiago Oliveira ()
Additional contact information
Carlos Tam: NOVA Information Management School (NOVA IMS)
Diogo Santos: NOVA Information Management School (NOVA IMS)
Tiago Oliveira: NOVA Information Management School (NOVA IMS)

Information Systems Frontiers, 2020, vol. 22, issue 1, No 18, 243-257

Abstract: Abstract The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.

Keywords: Mobile applications (apps); Continuance usage; Expectation confirmation model (ECM); Extended unified theory of acceptance and use of technology (UTAUT2) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (50)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-018-9864-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:22:y:2020:i:1:d:10.1007_s10796-018-9864-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-018-9864-5

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().