Intellectual capital, entrepreneurial orientation, and technical innovation in small and medium‐sized enterprises
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
The purpose of this paper is to empirically investigate the effects of intellectual capital (IC) on technical innovation (TI) and entrepreneurial orientation (EO) in small and medium‐sized enterprises (SMEs). Hypotheses were tested using a survey data set of 464 questionnaires collected from senior, middle, and functional managers, in addition to employees working in 63 SMEs operating in Jordan. The findings show that all IC dimensions have positive significant effects on both TI as well as EO. More specifically, human capital and relational capital emerged as having the strongest effects on TI, whereas relational capital and human competence had the strongest effects on EO. Interestingly, relational capital was the only IC dimension that had a particularly strong and positive significant effect on both EO and TI. Moreover, all EO dimensions had positive significant effects on TI. As for the mediating effect of EO, it was found to have quite a strong and partial mediating effect on the relationship between each IC dimension (relational, structural, human, and human competence) and TI. It was also noted that EO had a particularly strong partial mediating effect on the relationship between structural capital and TI, as well as human competence and TI. Given the unique context within which SMEs are established and developed, in terms of heavily investing in IC, as well as their supposedly entrepreneurial and innovative nature, this study provides an original contribution to the TI literature.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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