Adoption of E-Government among Bahraini Citizens
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
Many governments worldwide have been investing heavily in e-Government project as a strategy to provide the best governmental services to citizens. However, many governments and academic researchers recognized the problem of low-level of citizens' adoption toward e-Government services. Bahrain e-Government Authority is one of the governments that suffer from the lack of citizens' adoption of e-Government services, what caused serious problems to the authority. Therefore, this study is dedicated to address the factors that affect citizen's intention to adopt e-Government services from cultural, awareness and trust perspectives. Regression analysis is conducted to determine the relationship between culture, awareness and trust with adoption of e-Government. The results of the regression test showed strong evidence of a significant relationship between culture, awareness and trust and adoption of e-Government. However, the test indicated that trust had the highest level of relationship toward e-Government adoption. These results reveal that trust construct should be more considered by the e-Government authorities in Bahrain because it has a considerable impact on citizens' intention to use e-Government services. This will enable the authority to take actions to enhance citizens' trust, what will increase the rate of e-Government adopters.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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