Laissez-Faire Leadership and Affective Commitment: the Roles of Leader-Member Exchange and Subordinate Relational Self-concept
Bibliographic record
Abstract
Abstract Although the detrimental effects of laissez-faire leadership are well documented, research on the underlying mechanisms and the boundary conditions associated with these effects remains scarce. Using the identity orientation framework and social exchange theory, we propose that employees with stronger relational self-concepts are more likely to be affected by laissez-faire leadership. As these employees define themselves through dyadic relationships, they may react more negatively to laissez-faire leadership by diminishing their contributions to mutual goals and reducing their affective organizational commitment. These predictions were tested within a three-wave longitudinal study through structural equations modeling analyses with full information maximum likelihood estimation on a sample of employees from multiple organizations ( N = 449). As predicted, the relational self-concept was associated with a stronger negative effect of laissez-faire leadership on the contribution dimension of leader-member exchange and a stronger negative indirect effect on affective organizational commitment. The implications of these findings for our understanding of the mechanisms related to laissez-faire leadership 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".