Do Management Control Systems Promote Ambidextrous Innovation? The Moderating Role of Leadership Style
Bibliographic record
Abstract
This study develops and tests a model to assess the impact of the ambidextrous management control that refers to a balance between interactive management control system (iMCS) and diagnostic management control (dMCS) on ambidextrous innovation. Our results, based on data collected from 232 senior managers in the context of French companies, indicate that iMCS promotes exploratory innovation, while dMCS has a positive and significant influence on exploitative innovation. Data analysis revealed also that the ambidextrous MCS conducts to ambidextrous innovation. Furthermore, our results show that transformational leadership moderates the relationship between iMCS and exploratory innovation, while transactional leadership moderates the link between dMCS and exploitative innovation. Finally, our findings revealed that ambidextrous leadership reinforces the link between ambidextrous MCS and ambidextrous innovation.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 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".