Team reflexivity and employee innovative behavior: the mediating role of knowledge sharing and moderating role of leadership
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Although team reflexivity has been identified as a potent tool for improving organizational performance, how and when it influences individual employee innovative behavior remains theoretically and conceptually underspecified. Taking a knowledge management perspective, this study aims to investigate the role of team-level knowledge sharing and leadership in transforming team reflexivity into innovative behavior at the individual level. Design/methodology/approach The paper follows a multilevel study design to collect data (n = 441) from 91 teams in 48 knowledge-based organizations. The paper tests our multilevel model using multinomial logistic techniques. Findings The overall results confirm that knowledge sharing in teams mediates the influence of team reflexivity on individual employee innovative behavior, and that leadership plays an important role in moderating these influences. Specifically, authoritarian leadership is found to attenuate the team reflexivity and knowledge sharing effect, whereas benevolent leadership is found to amplify this indirect effect. Originality/value The multilevel study design that explains how team-level processes translate into innovative behavior at the individual employee level is novel. Relatedly, our use of a multilevel analytical framework is also original.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it