Psychological Empowerment on Creativity Among Employees of IT Sector: The Mediating Role of Creative Process Engagement and Intrinsic Motivation
Bibliographic record
Abstract
Aim of this study was to investigate the relationships between perceived psychological empowerment, intrinsic motivation, creative process engagement and employees’ creativity by testing a conceptual model of hypothesized relationships derived from the previous body of knowledge relating to these constructs. A non-experimental quantitative research design was applied using a sample of IT professionals in software houses Punjab, Pakistan (n = 281). Participants completed a mailed questionnaire that measured the perceived presence of the psychological empowerment, intrinsic motivation, creative process engagement and employees’ creativity. By using the multiple regression analysis, found that there are significant positive relationships between psychological empowerment, intrinsic motivation, creative process engagement and employees’ creativity. The mediating effects of creative process engagement and intrinsic motivation are confirmed between the relationship of psychological empowerment and employees’ creativity, by using Barren and canny and Sobel’s test.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".