Intellectual capital and organisational performance in Malaysian knowledge-intensive SMEs
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 was designed to test and validate the integrated intellectual capital model by examining the relationship between intellectual capital and organisational performance of small and medium enterprises (SMEs) operating in the electrical and electronics manufacturing sectors in Malaysia. Data was collected through a validated survey instrument administered on a sample of 237 respondents from targeted SMEs. Cronbach's alpha and confirmatory factor analysis were used to examine the reliability and validity of the research instrument. Structural equation modelling was used to test the proposed research hypotheses. The results demonstrate that human capital, customer capital, structural capital, social capital, technological capital and spiritual capital are crucial components of intellectual capital and all link to organisational performance. Although there are limitations to measuring intellectual capital quantitatively, this study provides further insight into the relationship between intellectual capital and organisational performance within a developing nation. The limitations of the study include a limited scope of generalisability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.001 | 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