Impact of knowledge management processes on business performance: Evidence from Kuwait
Bibliographic record
Abstract
The purpose of this research study is to investigate the relationship between knowledge management (KM) processes and the level of business performance of organizations in Kuwait. The research utilized a survey that was administered to 500 employees of 139 private and government companies in Kuwait. Tests of validity and reliability confirmed the use of the survey instrument whereas factor analysis revealed 4 main factors whose impact on performance was assessed. The research results revealed that all 4 KM processes examined (i.e., knowledge generation and development, codification and storage, transfer and sharing, and use and evaluation) have a positive and significant impact on perceived business performance. Additionally, the research revealed that KM processes have the highest impact on innovation performance. The limitation of this study is mainly related to the limited geographical scope of the research, because the survey covered only companies from Kuwait. The originality of the research comes from geographical area covered. Virtually, no empirical research has been undertaken in area of knowledge management in Kuwait, as an oil‐dependent country.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".