Ethical leadership and organizational commitment: the dual perspective of social exchange and empowerment
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 Given recent prominent ethical scandals (e.g. Tesla, Uber) and the increasing demand for ethical management, the importance of business ethics has recently surged. One area that needs further research regards how ethical leaders can foster followers’ organizational commitment. Drawing upon social exchange theory, the current research proposes that ethical leadership relates to follower affective and normative commitment through perceived organizational support (POS). Moreover, based on self-determination theory, we expected follower psychological empowerment to positively moderate the relationship between ethical leadership and commitment components. Design/methodology/approach Data were collected using a three-wave study among employees from multiple organizations ( N = 297) in Canada. Structural equations modeling and bootstrapping analyses were applied to test the hypotheses. Findings The results showed that ethical leadership was positively related to follower affective and normative commitment through POS. Furthermore, the relationship between ethical leadership and POS was stronger at high levels of empowerment. This moderating effect extended to the indirect relationship between ethical leadership and commitment components. Originality/value This study counts among the few investigations that have examined the mechanisms linking ethical leadership to followers’ organizational commitment and boundary conditions associated with this relationship. Moreover, our findings were obtained while controlling for transformational leadership, which highlights the incremental validity of ethical leadership.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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