Building Citizen Trust towards E-Government Services: Do High Quality Websites Matter?
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Insufficient payload (model declined to judge)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.378
- Threshold uncertainty score
- 0.982
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.277 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
E-governments are increasingly becoming a familiar fixture in virtual landscapes. Yet, the lack of citizen trust brought on by the novelty and uncertainty of online transactions has inhibited the widespread acceptance for public e-services. Ascribing to the perspective of technology as a social actor with whom the customer interacts and transacts, we put forward a research model that accentuates the pivotal role of e-government service quality as a salient driver of citizens' trustworthiness beliefs towards e-government Web sites, which in turn promotes the corresponding adoption of public e-services. E-government service quality, as conceptualized in this study, borrows from the popularized SERVQUAL constructs in deriving prescriptive design principles to guide the development of e-government Web sites. Data collected from a sample of 647 e-government service participants substantiates all 14 hypothesized relationships, thereby suggesting that high quality e- government Web sites do matter in building citizen trust towards public e-services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Topic
- E-Government and Public Services
- Field
- Social Sciences
- Canadian institutions
- University of British Columbia
- Funders
- not available
- Keywords
- Government (linguistics)BusinessQuality (philosophy)NoveltyPublic relationsSERVQUALService qualityService (business)Internet privacyMarketingKnowledge managementComputer sciencePolitical sciencePsychology
- Has abstract in OpenAlex
- yes