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Is usage predictable using belief-attitude- intention paradigm?.
| Content Provider | CiteSeerX |
|---|---|
| Author | Saadé, Raafat George Tan, Weiwei Kira, Dennis |
| Abstract | While much of the prior information system (IS) research has employed technology acceptance model (TAM) and theory of planned behavior (TPB) to explain user’s technology acceptance be-havior, most of them use self-reported use intention to develop their investigation. The purpose of this paper is to empirically examine the validity of behavioral intention’s prediction on actual sys-tem usage under a voluntary context. By integrating constructs of the two closely related theoreti-cal paradigm (TAM and TPB), we propose an integrated model to investigate the relationship. In doing so, we used questionnaire to gather the system usage perceptions of students who took an online management information system (MIS) course at a large Canadian university. At the same time, we also set up the e-learning system to record students ’ actual usage. Using partial least square (PLS) approach, data collected from 105 students are tested against the model showing a very good fit with 60 % explanation of the behavioral intention. The relationship between the in-tention and actual system use however was found to be insignificant and weak. Our study ques-tions the validity of using self-reported intention to represent system usage and provides insight into future research directions on technology acceptance behavior. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Belief-attitude Intention Paradigm Technology Acceptance Behavior System Usage Perception Voluntary Context Actual Sys-tem Usage E-learning System Study Ques-tions Student Actual Usage Future Research Direction Prior Information System Related Theoreti-cal Paradigm Self-reported Use Intention Self-reported Intention Actual System Use User Technology Acceptance Behavioral Intention Technology Acceptance Model Integrated Model Large Canadian University Good Fit Behavioral Intention Prediction Online Management Information System |
| Content Type | Text |
| Resource Type | Article |
