Innovation Capability and Sustainable Performance Through Knowledge Management 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
Knowledge management (KM) across organizations is based on the realization that integrating knowledge or more broadly intellectual capital (IC) both inside and outside the enterprise helps enhance the innovation capability (INC) and sustainable performance (SUP) of enterprises. The purpose of this study is to examine the effects of internal intellectual capital (IIC), external intellectual capital (EIC), and social capital (SOC) on INC and SUP through KM in SMEs. The survey questionnaire was sent to managers working in Vietnamese SMEs. SPSS and AMOS software were used for data analysis. The results indicate that IIC, EIC, and SOC have positive impacts on the INC and SUP of SMEs through KM activities. These findings hope to be useful for scholars and especially SME owners to understand more thoroughly the relationships between IC, SOC, and KM, as well as the influence of these relationships on INC and SUP, while providing new insight and useful suggestions for owners of SMEs in acquiring and exploiting knowledge from outside to fill knowledge gaps within the enterprise.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.001 |
| 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