Barriers to the Use of Electronic Government as Perceived by Citizens at the Municipal Level in México
Bibliographic record
Abstract
The benefits of e-government services depend on the number of citizens who take advantage of them. The purpose of this quantitative, correlational research study was to determine barriers to e-government use as perceived by citizens at the municipal level in Mexico. The technology acceptance model (TAM), the diffusion of innovations (DOI) theory, and models of web trust formed the theoretical framework of the study. Several hypotheses tested the relation of demographic variables, TAM, DOI, and web trust constructs to the intention of using e-government services of 149 taxpayers of the city of Chihuahua, Mexico, who did not to use the e-government services for payment provided by the government of their municipality. The findings of this study show that trust in the Internet, trust in government, perceptions of convenience, perceptions of compatibility, access to the Internet, perceptions of ease of use, and perceptions of relative advantages are related to the intention to use e-government services. Conversely, awareness of the existence of e-government services, income level, family structure, age, literacy level, computer literacy level, gender, and possession of bankcards are not individually related to the intention to use e-government services of those persons who made face-to-face payments at the treasury office.
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.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".