A framework for Strategic planning in Iran's Oil Industry
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this study is present a framework for strategic planning. On this basis, the oil industry was selected as the spatial domain. In this study, in order to implement the strategic planning, since IT is an inevitable part of today's businesses, we focused on aligning business strategic planning in the oil industry and strategic IT planning. First, to analyze the data, strengths and weaknesses, opportunities and threats in the oil industry were analyzed using the SWOT model. Then, appropriate strategies in the oil industry were identified by using the combination of the Balanced Scorecard method and strategic alignment model, according to the SWOT matrix and causal relationships were drawn and finally, the strategies were rated using TOPSIS technique in order to improve resource allocation and reduce the complexity of decision-making for managers.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 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