Developing Foresight-Based IT Governance Strategies Through Scenario Analysis
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
The development of the Internet has revolutionized the methods in which governments provide public services by modifying traditional government duties and eliminating obsolete professional strategies and government structures. The increased citizen concern regarding the ability of an e-government to provide timely and effective services and other shifts are not only passively connected to the affairs of relevant units, but also require cross-organizational and collaborative innovative e-government mechanisms. This study examines and compares the development of an e-government in countries such as the U.S., Singapore, Canada, the U.K., Japan, and Taiwan using data obtained from the Brown University Taubman Center for Public Policy, the United Nations Department of Economic and Social Affairs, and the Waseda University Institute of e-Government. The changing of citizen residences is used as the test case for scenario analysis to examine the “current state” of IT governance implementation and to develop “active service” strategies, that is, the establishment of active offices. G2G participation mechanisms and G2B partnership mechanisms are established to improve current conditions.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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