The RFID Technology Adoption in e-Government
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 emergence of Radio Frequency Identification (RFID) technology has affected the functions and roles of business organizations. RFID technology provides technical solutions across a variety of industries in the public and private sectors. E-government is being increasingly utilized by governments in different countries to increase the efficiency of services provided to citizens. Although the use of e-Government is allowing timely, effective services online, many challenges must still be overcome to maximize the utility e-Government can provide to citizens. RFID is disseminating in a variety of new areas and movement exists toward the adoption of RFID in e-Government, but several issues and challenges must be addressed. This paper examines both e-Government and RFID from an individual perspective and explores the possible issues and challenges associated with RFID technology adoption in e-Government. Based on a review of literature, a conceptual model has been developed illustrating the various issues and challenges and how they would impact the RFID adoption in e-Government.
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 | 0.007 | 0.001 |
| 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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