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

Exploring the influential factors of continuance intention to use mobile Apps: Extending the... 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) 1 Introduction posted 150% year-over-year growth, whereas the value for Bmes- saging and social apps^ (i.e., social apps) was up to 203%, the In recent years the increasing number of smartphone subscribers most dramatic growth in apps in 2013 (Hsiao et al. 2016). has driven the usage http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Systems Frontiers Springer Journals

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

Loading next page...
 
/lp/springer_journal/exploring-the-influential-factors-of-continuance-intention-to-use-f323PcLsuv
Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Business and Management; IT in Business; Management of Computing and Information Systems; Systems Theory, Control; Operations Research/Decision Theory
ISSN
1387-3326
eISSN
1572-9419
D.O.I.
10.1007/s10796-018-9864-5
Publisher site
See Article on Publisher Site

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) 1 Introduction posted 150% year-over-year growth, whereas the value for Bmes- saging and social apps^ (i.e., social apps) was up to 203%, the In recent years the increasing number of smartphone subscribers most dramatic growth in apps in 2013 (Hsiao et al. 2016). has driven the usage

Journal

Information Systems FrontiersSpringer Journals

Published: May 31, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off