A Framework for E-Government Portal Development
Bibliographic record
Abstract
Electronic government (E-government) portals are considered one of the most popular conduits for offering government services online. Successful e-government portal development projects have been lauded in several academic and practitioner papers. These projects have concentrated on integrating government agencies by working to break the traditional silo-based view of the government and providing seamless integrated online services to citizens. However, the rate of adoption for e-government portals by citizens has been much lower than expected. A major reason identified in the literature for this is a lack of understanding of managerial considerations that affect portal development and subsequent adoption. In this chapter, we present a framework of managerial considerations for the development of e-government portals. The framework builds upon available literature in the field of e-government and public administration. It consists of eight key front-office and back-office considerations that contribute to successful development of an e-government portal. It provides an excellent platform for future research on e-government portals. The framework can also be extended to managers as a useful tool for ascertaining the effectiveness of their government portal development.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".