The Intellectual Capital Investment and its Impact on Organizational Innovation: An Empirical Study on Jordanian Industrial Public Shareholding Listed Companies (JIPSLC)
Bibliographic record
Abstract
The purpose of this study is to investigate empirically the impact of the intellectual capital investment onorganizational innovation in Jordanian industrial public shareholding listed companies (JIPSLC). Correlationanalysis and regression analysis was conducted. The application of this study was limited to managers anddeputy managers in (JIPSLC) in 2012, and the result of this study on the implications of validity and reliabilityof the tools in the study was used. The result support the hypothesis that the positive relation between intellectualcapital investment, and organizational innovation. The results extend the understanding of the role of IC increating organizational innovation and building competitive advantage for (JIPSLC). Some guidelines areoffered about issues related to IC, which should be taken into account in order to increase organizationalinnovation within (JIPSLC).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads agree on what is shown here.
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".