Value creation logics and the choice of management control systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Most, if not all, management control tools were formulated for firms employing an industrial value creation logic (i.e., Ford, McDonald’s, and Wal‐Mart). We argue that given the growth, both in number and importance, of firms employing a knowledge value creation logic (i.e., Accenture, Goldman Sachs, and Clifford Chance) and firms employing a network logic (i.e., Verizon, eBay, and Expedia) that these control tools should be revisited in light of this potentially critical contingency. This paper outlines the key characteristics of knowledge intensive firms and network service firms and then examines how these contingencies impact Simons’ (1995) Levers of Control and Kaplan and Norton’s (1996) Balanced Scorecard. We find that whilst each lever/perspective is still relevant for each value creation logic, the relative importance and thus intensity of use should vary between logics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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