The Roles of Management Control: Lessons from the Apollo Program*
Bibliographic record
Abstract
ABSTRACT The management control information used in decision‐making comports with one of the two generally accepted roles—to monitor and evaluate employees to conform their behavior to achieving organizational goals (decision‐influencing role), or to reduce decision uncertainty (decision‐facilitating role). However, the ways in which these two roles may combine concurrently has received limited empirical attention. Thus, in this case study, archival data and evidence from 30 interviews with space sector experts are employed to evaluate how the two roles assumed by management control contributed—both individually and jointly—to the achievements of the National Aeronautics and Space Administration's Apollo program. The analysis leads to a proposed 2×2 matrix that better characterizes the roles that could be assumed by management control in decision settings. This study extends the management control literature by presenting an additionally nuanced picture of these roles, as well as the subsequent consequences that arise from their combinations. Its findings provide insight for management control development and application.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".