The Effects of Strategy–Management Control System Misfits on Firm Performance
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Bibliographic record
Abstract
Abstract The purpose of this study is to investigate the effects of misfits between business strategy and management control systems on performance. We address the following research question: Do firms that align their management control systems with the specific requirements of their business strategy perform significantly better than those that do not achieve the required match? We define a misfit as the degree to which management control systems deviate from empirically derived optimal configurations for a given type of business strategy. We use the two‐stage approach proposed by Ittner and Larcker (2001) to measure misfit and to investigate the impacts of misfit on performance. Based on a questionnaire survey of executives from 109 banks, we hypothesize and find that the strategy–control systems misfit has a significantly negative correlation with both self‐rated and publicly available performance measures.
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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 | 0.001 | 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 it