Linking managerial practices and leadership style to innovative work behavior
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 – The purpose of this paper is to propose and test a theoretical model linking individual perceptions of participative leadership style and managerial practices (i.e. teamwork and information sharing) to individual innovative behavior through the mediating mechanisms of: perceptions of team support for innovation and team vision; and psychological empowerment. Design/methodology/approach – Self-report data were collected from 394 employees working in five organizations. Structural equation models were conducted to empirically test the hypothesized research model. Findings – As hypothesized, participative leadership, teamwork and information sharing positively predicted perceptions of team support for innovation and team vision, which in turn fostered psychological empowerment. The latter was further positively associated with innovative performance. Practical implications – The results of the present study inform management of the group processes (i.e. team vision and support for innovation) that can mobilize employees to engage in effective innovative activities. Importantly, the findings indicate that for such processes to be developed and nurtured, teamwork activities should be promoted within work groups, effective communication systems should be implemented throughout the organization, and participatory skills should be developed among supervisors. Originality/value – The study represents one of the first attempts to investigate the perceived group and psychological processes that can explain how managerial practices and leadership style jointly benefit employee innovative behavior.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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