Intellectual Capital Efficiency and Firm’s Performance: Study on Malaysian Financial Sectors
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
It is no doubt that successful companies tend to be those that continually innovate, relying on new technologies and emphasize on skills and knowledge of their employees rather than assets such as plants or machinery. Knowledge being the new engine of corporate development has become one of the great clichés of recent years. Value can be generated by intangibles, which are not always reflected in financial statements. Forward-looking companies have realized that these are an integral part of fully understanding the performance of their business. This study therefore tries to investigate the efficiency of intellectual capital and its performance in Malaysian financial sectors. The results were based on the data taken from 18 companies under financial sector for the year 2007. It was found that the banking sector relied more on intellectual capital followed by insurance companies and Brokerage firms. It was also found that intellectual capital has significant and positive relationships with company’s performance measured by profitability and Return on Assets (ROA).
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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 | 0.001 |
| 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 it