Human Capital Accounting Implications on Firm Market Value: A Survey of Kenyan Private Universities
Bibliographic record
Abstract
Purpose-The study examined the findings of an empirical evaluation of Human Capital (HC) accounting implications on firm market value among Kenyan private universities. Design/methodology/approach- a Cross-sectional survey on finance and human resource directors in Kenyan private universities.Findings- Kenyan Chartered Private Universities were successful because they accounted for, and reported their HC as material investments. However, further research was recommended to establish whether: the 4.2% who did not enjoy a good reputation and image consecutively for the past three financial periods; the 47% who did not enjoy easy access to Kenya’s capital markets consecutively for the past three financial periods; the 25% who did not retain their quality HC consecutively for the past three financial periods; as well as the 30% who did not enjoy high ROI consecutively for the past three financial periods: did so solely because they did not account and report their HC as material investments or there were indeed other factors motivating the results. Originality/Value-Accounting for HC is a big deal in Kenyan Knowledge-Information-Service-Sector (KISS) firms such as private universities because HC is the intervening factor for competitive advantage: Yet the discipline is unexplored in existing Kenyan empirical works.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".