Universal Values, Creative Behavior and Leadership: Turkish Case
Bibliographic record
Abstract
Organizational creativity has become one of the major research areas in the field of organizational behavior during the last two decades. This paper aims to provide a better understanding of the association between universal individual values and employee creative behavior and explores the mediating effect of leadership on the relationship between individual values and employee creative behavior. The research sample was chosen from service sector employees owing to the fact that the role of leadership and motivation for creativity is especially important in knowledge intensive, complex and uncertain environments. Survey method was used to examine the perceptions of the respondents about individual values and leadership style, and their impact on self-perceived creative behavior. Hierarchical regression and Sobel Test were applied to examine the mediating effect of leadership on individual values and employee creative behavior relationship. The results show that the individual value dimensions of self direction, achievement, and universalism explain the majority of variance in employee creative behavior. The findings of both the hierarchical multiple regression analysis and the Sobel test support the partial mediating effect of leadership on individual values and employee creative behavior relationship. The originality of the paper is related to the attempt for understanding the mediating effect of leadership on individual values and creativity relationship which has been under-researched in the literature. Furthermore, the study intends to contribute to a new and important research agenda through the examination of the relationship between universal basic values and employee creative behavior in a sample of Turkish employees.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 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) | 0.004 | 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".