A Longitudinal Study of Changes in Role Ambiguity, Relationship Conflict, and Turnover Intentions
Bibliographic record
Abstract
Understanding the causes of conflict in organizations is of great importance due to the challenges inherent to conflict management as well as its costly implications. In this article, we examine increased role ambiguity over time as a significant predictor of conflict emergence. Integrating theoretical perspectives developed in the fields of job stress and conflict research, we argue that relationship conflict is likely to result from increased role ambiguity due to associated performance and coordination breakdowns, as well as biased interpretations of the work environment. In a two-wave longitudinal investigation of 134 employees working in the healthcare sector, we find support for our proposition that increases in relationship conflict mediate the effect of increases in role ambiguity on increases in turnover intentions over a three-year period. We discuss these findings in terms of their implications for conflict and job stress research. We also consider their implications in terms of how best to manage employees who are at risk of developing increased role ambiguity over time.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".