The Supply Organizational Structure Dilemma
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
SUMMARY This article presents the findings of research into how and why large, multiunit firms make major changes to the organizational structure of the supply function. The research used case‐based methodology to investigate 10 large companies that had recently made a major supply structure change. A total of 15 major supply organizational changes were studied at the 10 sites. The research found that these major changes were a result of changes in the overall corporate structure, challenging the conventional view found in standard purchasing texts that supply executives have flexibility in matters of organizational design. The research identified that a common driver for corporate organizational change in each of the sites studied involved an attempt by the company to improve its cost structure. Chief financial officers (CPOs), business unit managers, consultants, and chief purchasing officers (CPOs) were all identified as having involvement in the supply organizational structure change process at some sites. A principal challenge for CPOs is to understand how to provide supply improvement opportunities under any organizational structure.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it