Enhancing organizational performance in the telecommunication industry in Saudi Arabia
Bibliographic record
Abstract
The aim of this study is to provide an insight into the factors that influence the successful implementation of knowledge management and organizational performance in Saudi Arabia’s telecommunications industry. One thousand copies of survey questionnaires were sent to targeted telecommunication organization and they were distributed by hand. Middle management level was chosen to participate in this study due to their importance as stressed by many knowledge management researchers. Out of the 1000 questionnaires distributed, 441 complete questionnaires were successfully collected and used for data analysis. There is still a lack of the knowledge management research in the Saudi Arabia context. The present research focus-es on telecommunication industry in Saudi Arabia. The result of this research will be able to provide an insight into what are the overall perception overall perception of knowledge management and how various knowledge management elements (preliminary success factors, strategies and processes) affect the successful implementation of knowledge management and its organizational performance among the telecommunication organizations in Saudi Arabia. The findings are useful for the telecommunication industry. The present research serves as one of the pioneer studies that focuses on telecommunication industry in Saudi Arabia. The empirical insights from this study contributes to successful implementation of knowledge management in the telecommunication industry in Saudi Arabia.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".