Predicting customer’s intentions to use internet banking: the role of technology acceptance model (TAM) in e-banking
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Information and communication technology (ICT) developments and trends in recent years have had great impacts on banking sector worldwide. Therefore, the disruptive innovative technology has accelerated changes in the way of banking business. The purpose of this paper is to explore the factors that influence on Pakistani customer's intentions to adopt internet banking. The sample used in this empirical study includes 265 responses of internet banking users collected through structured questionnaire. For statistical analysis, structural equation model (SEM) approach was used. The present study suggests that internet banking use increases as long as customer perceives it as useful tool. Findings confirmed that perceived usefulness, perceived ease of use and attitude were the key constructs for promoting internet banking usage in Pakistan. Furthermore, the importance performance matrix analysis has shown that attitude was the most important factor. Thus, banks can focus on cultivation of positive attitudinal beliefs about internet banking among prospect customers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it