Factors Affecting the Adoption and Usage of Online Services in Oman
Bibliographic record
Abstract
Online services are a great solution to many trendy businesses and individuals if adopted and used properly, and if not will cause many interruptions to the businesses and end-users. This research paper investigates the factors that affecting the adoption and usage of online services in Oman. A survey questionnaire was used to explore the impact of some core influential factors on the adoption and usage of online services within the Omani context by testing the data that were collected from 270 participants in Al-Batinah North region. This study identifies the key influential factors such as usefulness, ease of use, cultural and social issues, awareness, trustworthiness, security, and privacy. The findings of this research show that there is a significant relationship between usefulness, ease of use, and trustworthiness with the adoption and use of online services in Oman. The results clarify the main factors that influence the decision of Omanis and other residents to adopt and use the online services that are provided by many firms in the Sultanate of Oman. The implication of findings is briefly discussed.
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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 | 0.003 | 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) | 0.000 | 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".