The Impact of Knowledge Management on Organizational Innovation: An Empirical Study
Bibliographic record
Abstract
The character of organizational innovation is considered significant for developing and improving the related products, procedures and marketplaces, for adding value as well as effectiveness over administrations. The innovation procedure is necessary regarding the activity of an association as the capability for innovation is important for attaining and sustaining competitive advantage. The absence of empirical investigations about the consequence of knowledge management on organizational innovation by organizational learning particularly over the developing countries exists in the related literature. The key objective of the current investigation is to evaluate the consequence of knowledge management on innovation directly and over organizational learning in Iranian automotive industry namely Iran Khodro Company. A total of 272 managers were chosen from systems and methods as the participants of the current study. The data were analysed using the Structural Equation Modelling (SEM). Results of the study revealed that there is an influence of knowledge management on organizational innovation in Iranian automotive industry. Results of the investigation showed that organizational learning has an important character as a mediator on the association between knowledge management and organizational innovation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".