Innovative and Creative Organisational Cultures: The Impact of Innovative HR Practices
Bibliographic record
Abstract
We examine how innovation orientation and creativity climate mediate the innovative HR practices-performance relationship. Antecedents to innovation orientation have been largely ignored, and our research explores its link to creativity climate. Employees working for publicly listed firms are surveyed on their perceptions of innovative HR practices. We use complimentary statistical methods (i.e., SEM, fsQCA) to analyze our dataset. We find that although innovation orientation and creativity climate are interlinked, they are indeed distinguishable constructs. Both innovation orientation and creativity climate mediate innovative HR practices similarly. However, our double mediated model highlights their distinguishability, and aligns with prior research suggesting the importance that creativity precedes innovation. All innovative HR practices are significant predictors of performance except for compensation practices. In terms of stimulating creative and innovative organisational cultures, our findings suggest that extrinsic motivators may be detrimental to intrinsic motivators. Our research responds to calls for more dynamic approaches in understanding the innovation-creativity link through an HR lens. Implications and future research are discussed.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".