Revitalizing Kosovo's Manufacturing Organizations: Long-Term Strategic Planning with QSPM
Why this work is in the frame
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Bibliographic record
Abstract
The field of strategic planning and decision-making is crucial for the success and sustainability of manufacturing organizations.This paper presents a combined methodological approach, using quantitative data analysis to support long-term planning through the Quantitative Strategic Planning Matrix (QSPM).The QSPM enables the identification of problems and supports effective decision-making by evaluating the ranking of alternatives and assessing the organization's internal and external factors.This study provides insights into the clearness of strategic planning and decision-making, as well as sustainable evaluation of alternatives for manufacturing organizations in Kosovo.The research identifies backward, forward, and horizontal integration as key strategic alternatives for achieving organizational longevity.By utilizing the QSPM, this study offers valuable guidance for decision-makers and strategic planning professionals in the manufacturing industry.
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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 | 0.000 |
| 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 it