Knowledge sharing as a give-and-take practice: the role of the knowledge receiver in the knowledge-sharing process
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
Purpose The purpose of this study is to investigate whether openness to receive and openness to share knowledge drive employees to share knowledge with colleagues in the workplace. The authors also investigate what, if any, influence knowledge sharing has on performance at both individual and work unit levels. Design/methodology/approach Data were collected from 237 employees from eight banks in Kuwait. Structural equation modeling techniques were used to test the hypotheses. Findings The knowledge receiver’s openness to receive and openness to share knowledge influence the provider’s knowledge-sharing behavior. The latter positively affects the provider’s job performance and the work unit’s innovation performance. Furthermore, knowledge utilization strengthens knowledge sharing’s positive effect on work unit innovation. Research limitations/implications The findings of this study are industry and country specific and, therefore, would likely not be applicable to other settings. Thus, similar future research targeting different industries and/or countries is warranted. As a cross-sectional study, this research can also benefit from subsequent longitudinal studies. Practical implications Organizations should create a culture conducive to sharing knowledge. For example, managers should assure employees that knowledge shared with coworkers will be well received and utilized, remove barriers to new knowledge utilization and create awareness among employees that sharing knowledge benefits knowledge providers as well as knowledge providers. Originality/value The authors provide evidence of how the knowledge receiver’s openness to receive and to share knowledge affect the provider’s knowledge sharing. The authors also provide insights into how knowledge sharing drives job performance and innovation.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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