Impact of personnel creativity on achieving strategic agility: The mediating role of knowledge sharing
Bibliographic record
Abstract
This study aims to examine the impact of the Personnel Creativity (PC) on Strategic Agility (SA) on the Sama Jordan for Food and Industrial Investments using Knowledge Sharing (KS) as a mediating variable. The study also examines the interrelationships between the constructs influencing SA. The study sample includes all the employees of the company of Sama Jordan for Food and Industrial Investments. In order to gather the required data, the study designs and distributes some questionnaire among different employees. Qualitative data is mainly collected to answer the research questions. Additionally, 76 valid surveys are used for data analysis and testing of hypotheses is performed by employing AMOS program. The results indicate that KM was the mediating variable on the relation between PC and SA. Overall, the proposed model helps the employees who work in the organization to increase our understanding on how these factors interact in order to create value to customers and develop future strategies to improve SA.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".