Impact of Knowledge Sharing on Competitive Priorities: The Moderating Role of Social Media (An Applied Study in Jordanian Telecommunication Companies)
Bibliographic record
Abstract
This study aims to identify knowledge sharing and its dimensions (Donating knowledge & Collecting knowledge) and its impact on competitive priorities: (Cost, Flexibility, and Quality) and the role of social media as a moderating variable in Jordanian telecommunication companies. The study population is consisted of (3) Jordanian Telecommunication Companies: (Zain, Orange, and Umniah). The study used equal stratified random sample. To collect the primary data a questionnaire survey was distributed to (134) managers. The questionnaire consisted of (30) items of close ended response type.The study reached set of findings; there is a significant statistical impact of knowledge sharing (donating knowledge & collecting knowledge) on competitive priorities in Jordanian telecommunication companies at level (a£ 0.05(; and there is a significant statistical impact at level (a£ 0.05(of social media on improving the impact of knowledge sharing on competitive priorities in Jordanian telecommunication companies. The study recommended increased knowledge sharing among employees and between departments through encouragement and practicing of knowledge sharing activities among companies' staff. And the need to motivate employees who are use social media for knowledge sharing in a work environment.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 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".