Determinants of App stores continuance behavior: a PLS path modelling approach

Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload a...

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Main Authors: Rezaei, S., Shahijan, M. K., Amin, M., Ismail, W. K. W.
Format: Article
Published: Routledge 2016
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Online Access:http://eprints.utm.my/id/eprint/71547/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000613344&doi=10.1080%2f15332861.2016.1256749&partnerID=40&md5=933913bf9628e16793f873b50aa2407e
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.715472017-11-16T08:42:22Z http://eprints.utm.my/id/eprint/71547/ Determinants of App stores continuance behavior: a PLS path modelling approach Rezaei, S. Shahijan, M. K. Amin, M. Ismail, W. K. W. HM Sociology Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload as a theoretical foundation, the aim of this study is to examine consumer satisfaction, continuous intention, and behavior toward apps shopping. A total of 347 valid questionnaires were collected from experienced consumers with app stores to statistically test the theoretical model using the partial least squares path modelling approach, a structural equation modelling technique. The results show that apps self-efficacy, post-usage usefulness, disconfirmation, facilitating conditions, perceived information overload, apps satisfaction, and apps continuance intention can be used to predict and explain 75.7% of variance in consumer’s continuance behavior in using app stores. The negative and positive causal relationship between constructs, managerial implications, and limitations are discussed. Routledge 2016 Article PeerReviewed Rezaei, S. and Shahijan, M. K. and Amin, M. and Ismail, W. K. W. (2016) Determinants of App stores continuance behavior: a PLS path modelling approach. Journal of Internet Commerce, 15 (4). pp. 408-440. ISSN 1533-2861 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000613344&doi=10.1080%2f15332861.2016.1256749&partnerID=40&md5=933913bf9628e16793f873b50aa2407e
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HM Sociology
spellingShingle HM Sociology
Rezaei, S.
Shahijan, M. K.
Amin, M.
Ismail, W. K. W.
Determinants of App stores continuance behavior: a PLS path modelling approach
description Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload as a theoretical foundation, the aim of this study is to examine consumer satisfaction, continuous intention, and behavior toward apps shopping. A total of 347 valid questionnaires were collected from experienced consumers with app stores to statistically test the theoretical model using the partial least squares path modelling approach, a structural equation modelling technique. The results show that apps self-efficacy, post-usage usefulness, disconfirmation, facilitating conditions, perceived information overload, apps satisfaction, and apps continuance intention can be used to predict and explain 75.7% of variance in consumer’s continuance behavior in using app stores. The negative and positive causal relationship between constructs, managerial implications, and limitations are discussed.
format Article
author Rezaei, S.
Shahijan, M. K.
Amin, M.
Ismail, W. K. W.
author_facet Rezaei, S.
Shahijan, M. K.
Amin, M.
Ismail, W. K. W.
author_sort Rezaei, S.
title Determinants of App stores continuance behavior: a PLS path modelling approach
title_short Determinants of App stores continuance behavior: a PLS path modelling approach
title_full Determinants of App stores continuance behavior: a PLS path modelling approach
title_fullStr Determinants of App stores continuance behavior: a PLS path modelling approach
title_full_unstemmed Determinants of App stores continuance behavior: a PLS path modelling approach
title_sort determinants of app stores continuance behavior: a pls path modelling approach
publisher Routledge
publishDate 2016
url http://eprints.utm.my/id/eprint/71547/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000613344&doi=10.1080%2f15332861.2016.1256749&partnerID=40&md5=933913bf9628e16793f873b50aa2407e
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