Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Journal Article

2016

Published in: http://www.tandfonline.com/doi/abs/10.1080/15332861.2016.1256749

Rezaei, Sajad . 2016

ABSTRACT
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, postusage
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.

• Publication Work Type: Research Paper
• Volume Number: 15
• Issue Number: 4
• Pages: 408–440