A Conceptual Development of Simons’ Levers of Control Framework
Bibliographic record
Abstract
The management control literature has been criticised for having concepts that are ill-defined. This causes mixed empirical results and makes it difficult to build a coherent body of knowledge. The paper addresses this issue by developing an important framework, that of Simons’ Levers of Control, which has been criticised in the past for its vague and ambiguous definitions. Using methods of concept analysis, the paper analyses prior literature to identify ambiguities with the different levers of control and uses examples from prior field studies to illustrate these ambiguities. The paper also analyses the positive and negative dimensions of controls which, although part of Simons’ framework, have remained unexplored. For each ambiguity identified, the paper proposes a solution to improve concept definitions or to clarify the relationship between concepts. The result is a revised framework that explicitly separates managerial intentions for controls and employee perceptions of controls. Managerial intentions are comprised of three levels: 1) types of controls (social and technical) 2) which are organised as four control systems (strategic performance, operational performance, strategic boundaries and operational boundaries) and 3) which can be used diagnostically or interactively, have an enabling or constraining role and can lead to either reward or punishment. Finally, after defining the framework’s concepts and explaining how they interact, the paper concludes by offering avenues for future research.
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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 | 0.000 |
| 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".