A Correlation Study between Social Capital and Knowledge Management with Emphasis on the Human Capital - The Case Study: Payame Noor University of Hormozgan (Bandarabbas)
Bibliographic record
Abstract
<p>Universities because of the importance and position they play in the every countries’ socio-economic development, require attention to personnel social capital at the university, because the social capital, makes effective knowledge management possible.</p><p>With respect to the importance of social and human capital and knowledge management, the present study was done to explore the relationship between social capital and knowledge management with emphasis on the human capital.<strong> </strong></p><p>This research is survey- descriptive of correlation type and the required data were collected through library-field. The subjects in this study consist of Payame Noor University staff of Hormozgan province.</p><p>In this study, 54 staff of Bandar Abbas Payame Noor University were selected through random sampling. After gathering the required data through knowledge management questionnaire, knowledge management processes were measured based on the five dimensions such as the capture of knowledge, acquisition of knowledge, transmission of knowledge, creation of knowledge and application of knowledge. In order to provide for the reliability of the questionaire cronbachs alpha was used. In order to check the significance of the difference between responses descriptive and inferential statistics such as regression, one way anova and t test were run using SPSS version 20. The result show that the staff means score of knowledge management was 76/66±20/48. The result shows that there was a significant relationship between social capital and knowledge management. Also there was a significant relationship between social capital and the five components of knowledge management such as capture of knowledge, acquisition of knowledge, transmission of knowledge, creation of knowledge and application of knowledge. Also there was a significant relationship between human capital and the component of knowledge management.</p>
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".