BUILDING A BRIDGE BETWEEN “EQUITY AND INGENUITY”: A SYSTEMATIC REVIEW OF ORGANISATIONAL JUSTICE AND INNOVATION AND FUTURE RESEARCH DIRECTIONS
Bibliographic record
Abstract
Innovation is a pivotal driver of competitive advantage and overall organisational success. Despite an extensive body of literature exploring the link between organisational justice (OJ) and innovation, a comprehensive synthesis regarding whether fair treatment within the workplace fosters innovation is notably lacking. This systematic review elucidates a predominantly positive correlation between OJ and various dimensions of innovation, although in some instances suggesting a neutral relationship between the two constructs. Furthermore, the research highlights knowledge sharing as a prominent intermediary variable among scholars. The study contributes significantly by demystifying the nuances of the relationship between OJ and innovation. Second, it introduces a categorisation of OJ and innovation subconstructs and identifies emergent concepts based on cluster analysis. Third, it presents a comprehensive conceptual model linking OJ, innovation, and several variables. Finally, the study offers seven theoretical research directions aimed at deepening our understanding of this topic.
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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 | 0.023 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".