Factors influencing business of mobile telecommunication service providers in Vietnam
Bibliographic record
Abstract
According to the Ministry of Information and Communications in Vietnam, as of November 2015, the number of mobile subscribers is over 120 million ones, accounting for over 86% of the total number of telephone subscribers. With a total population of over 92 million Vietnam citizens, a stable national economy and a large populations of young consumers in the country, mobile communication industries still have a huge potentials for future development. Telecommunication service providers in Vietnam are facing fierce competition. Subscribers are expecting OTT (Over the Top) applications, good quality service and handset subsidy. This study investigated whether legal frameworks, OTT applications, quality of service and handset subsidy are important components of mobile telecommunication service in Vietnam. This study used quantitative method to distribute surveys to mobile subscribers. Findings found that all four factors significantly influence mobile business in Vietnam. Thus, telecommunication service providers in Vietnam must continuously innovate to enhance operational competitiveness, improve business efficiency, expand business scale, and improve its position in the market in order to ensure sustainable development. Moreover, Vietnamese government needs to develop a legal framework to help mobile telecommunication service providers enhance the common interests and benefits of the entire society.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".