Market priorities, manufacturing configuration, and business performance: an empirical analysis of the order‐winners framework
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
Abstract This study carries out an empirical test of the order‐winners framework in manufacturing organizations. Hill [Hill, T., 1985. Manufacturing Strategy: The Strategic Management of the Manufacturing Function, first ed. Macmillan, Basingstoke; Hill, T., 2000. Manufacturing Strategy: Text and Cases, second ed. Palgrave, Basingstoke] proposed the order‐winners framework to help managers to improve understanding about markets and to develop a consistent manufacturing strategy. The framework defines ideal profiles of products and markets, and manufacturing and investment decisions that relate to alternative process choices. The study tests the hypothesis of a negative relationship between misfit to an ideal profile defined in the framework and business performance in domestic market share, return on sales, and return on investment in a survey of 183 manufacturers from 17 countries. Results found a significant negative relationship between misfit and domestic market share. The study contributes to operations management research by developing a methodology to measure fit as profile deviation in the context of manufacturing, and applying this methodology to the order‐winners framework.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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