An empirical study to investigate the effects of internal and external knowledge management on dynamic organizational skills through information technology tools
Bibliographic record
Abstract
These days, we see a tremendous change on business units through implementation of information technology equipment. The recent advances on technology have revolutionized technology and people start creating new ideas based on these advances. In this paper, we present an empirical study to investigate the impact of two internal and external factors on dynamic organizational skills through information technology equipment. The study uses a sample of 52 experts and using a questionnaire, we gather their insight about the proposed study. Structural equation modeling has been implemented and the results confirm that both internal and external factors influence dynamic organizational skills through information technology equipment. The study also uses freedman test to rank the factors and the results show that communication is the most important factor (4.41), followed by process (4.03), knowledge implementation (2.79), decision making (2.54) and human resources (1.22) is the last important factor.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".