Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook)

•We model the three aspects of use in technology acceptance.•Behavioral intention is related to cognitive absorption and deep structure use.•Hedonic construct has a direct relationship with system use.•User/Task aspects of use better suited in SNS context.•Explained variance in system use decreases...

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Bibliographic Details
Published in:Computers in human behavior 2013-11, Vol.29 (6), p.2776-2787
Main Authors: Lallmahomed, Muhammad Z.I., Ab.Rahim, Nor Zairah, Ibrahim, Roliana, Rahman, Azizah Abdul
Format: Article
Language:English
Subjects:
Acceptance
Computer simulation
Cross sections
Facebook
Human behavior
Mathematical models
Social networking sites (SNSs)
Students
System use
System use taxonomy
Tasks
Usage measures
UTAUT
Variance
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Summary:•We model the three aspects of use in technology acceptance.•Behavioral intention is related to cognitive absorption and deep structure use.•Hedonic construct has a direct relationship with system use.•User/Task aspects of use better suited in SNS context.•Explained variance in system use decreases as usage measures are simplified. This research examines the relationship between the predictors of use and the different conceptualizations of system use in a hedonic volitional setting (Facebook). Using the unified theory of acceptance and use of technology (UTAUT) model, an investigation into the three aspects of system use: the user, system and task were carried out. Results from a cross-sectional survey of 449 students show that behavioral intention has a significant influence on all aspects and dimensions of system use including cognitive absorption and deep structure use. Performance expectancy, effort expectancy and social influence are significantly related to system use. From the component model, performance expectancy is only significant with deep structure use. Hedonic performance expectancy is found to be significantly related to cognitive absorption. Results also demonstrate that predictors of usage have a significant relationship with the user aspect of system use. The variance explained in usage conceptualized as the user/task aspects is much higher than that of the system/task aspects or one-dimensional measures. Overall, conceptualizing system use using the user/task aspects offers greater explanatory power in Facebook use.
ISSN:0747-5632
1873-7692
DOI:10.1016/j.chb.2013.07.018