Website Design and Usage Behaviour: An Application of the UTAUT Model for Internet Banking in UK
Bibliographic record
Abstract
A well designed website brings numerous benefits to firms. Some of these benefits are well established. But whatelements of the website design really matter and how do these in turn influence website usage behaviour?Adopting the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical foundation, wereport the findings from a survey of 316 users of internet banking; data were collected through an offlinequestionnaire developed based on the literature review and previous studies,directed to a convenience sample.Structure equation modelling, the two steps approach, starting with measurement model and then the structuralmodel was applied.We demonstrate that the technical, general content and appearance dimensions of a Web siteare the most important for users. In addition, these dimensions are significantly related to usage behaviourdirectly and indirectly through belief constructs. We also find that the impact of performance expectancy onusage behaviouris significant in predicting usage. Implications and Recommendationswere provided afterthorough discussion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".