Implementation of information technology in developing countries: experiences of a Mongolian Internet service provider
Bibliographic record
Abstract
Internet service providers (ISPs) in developing countries experience great difficulties in the implementation of technologies that provide access to the Internet. These difficulties are due to technical challenges, such as poor telecommunication infrastructure, lack of technological readiness, inadequate technical skills and training, financial barriers, and the like. Oftentimes they require assistance from non-government organizations to successfully implement these types of projects. This paper begins with an overview of the factors that lead to successful implementation of information technology projects in developing countries. A framework is then presented which categorizes these factors into environmental, technical, interorganizational, and intraorganizational components. The paper then reports the efforts of one company in implementing a series of telecommunications projects to allow access to the Internet for Mongolian companies, governmental organizations and others. The paper concludes by applying the framework developed earlier to illustrate how successful implementation in the developing country context can be explained.
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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 | 0.000 | 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 | 0.000 | 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".