A Review Paper: Critical Factors Affecting the Development of ICT Projects in Malaysia
Bibliographic record
Abstract
Malaysia has been stuck at middle-income level since the 1990s. Hence, the government has been aggressively undertaking productivity improvement by enhancing its technological and knowledge capabilities in order to transform the community into a knowledge-based society. However, more than 40% of its population still lives in rural areas and lack basic infrastructure (such as fixed telephone lines or Internet connection). This has led to a wider information gap between the rural and urban communities. The setting up of telecentres is seen as a means by which to bridge this gap, as it will provide public access to ICT services and facilities, particularly in remote areas where such services and facilities are lacking. Malaysia has systematically planned a framework to narrow down the gap; it attempts to offer the best ICT infrastructure to its people, thereby allowing them to adopt ICT as a tool to improve their social-economic status. Although investments and efforts have been in place, however, some of these projects have yet to prove successful, and many projects are still in a developmental stage. In addition, there are few empirical studies on the critical issues surrounding the formation of ICT projects in Malaysia, and we are in dire need of research to fill this gap. This paper provides a discussion of the relevant documents, and a literature analysis, regarding the catalysts and barriers towards the development of ICT projects.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".