Predictors of employees’ perceptions of knowledge sharing cultures
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
This study investigated whether organizational factors such as employees’ perceptions of management’s support for knowledge sharing, their perceptions of the organization’s social interaction culture, the organization’s size, and the organization’s available knowledge sharing technology, as well as whether individual factors such as age, gender, and organizational tenure had a significant impact on employees’ perceptions of a knowledge sharing culture. New measures to assess employees’ perceptions of management’s support for knowledge sharing, their perceptions of the organization’s social interaction culture, and the perceived knowledge sharing culture were developed. We found that perceptions of management’s support for knowledge sharing, and perceptions of a positive social interaction culture were both significant predictors of a perceived knowledge sharing culture. In addition, gender was a significant moderator: female participants required a more positive social interaction culture before they would perceive a knowledge sharing culture as positive as that perceived by their male counterparts.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it