Management Intellectual Capital and its Role in Achieving Competitive Advantages at Jordnanian Private Universities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aimed to identify the role of intellectual capital (human capital, structural capital, and relational capital) in achieving competitive advantage (quality of education, flexible and responsive, and innovation) at Al-Ahliyya Amman University, to achieve these goals, the researcher used the descriptive and analytical approach. The study tool in collecting information and data was a questionnaire distributed to all the university's employees, who numbered (630) individuals. The data, the study questions and hypotheses were analyzed through the Statistical Package for Social Sciences (SPSS).The study concluded some results, the most important is: The structural capital and its components (combined) have a statistically significant effect on achieving competitive advantage. The researcher recommend the necessity of dealing with intellectual capital as a major and strategic resource for the university and considering it the real wealth that guarantees universities the ability to adapt to achieve a competitive advantage in them.
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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) | 0.001 | 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 it