The use of management controls in different cultural regions: an empirical study of Anglo-Saxon, Germanic and Nordic practices
Bibliographic record
Abstract
Abstract Most cross-cultural studies on management control have compared Anglo-Saxon firms to Asian firms, leaving us with limited understanding of potential variations between developed Western societies. This study addresses differences and similarities in a wide variety of management control practices in Anglo-Saxon (Australia, English Canada), Germanic (Austria, non-Walloon Belgium, Germany) and Nordic firms (Denmark, Finland, Norway, Sweden). Unique data is collected through structured interviews from 584 strategic business units (SBUs). We find that management control structures in Anglo-Saxon SBUs, relative to those from Germanic and Nordic regions, are more decentralized and participative and place greater emphasis on performance-based pay. Comparing Germanic SBUs to Nordic ones, we find Germanic SBUs to rely more on individual behaviour in performance evaluation, whereas Nordic SBUs rely more on quantitative measures and value alignment in employee selection. We also observe numerous similarities in MC practices between the three cultural regions. The implications of these findings for theory development are outlined.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".