Business Ecosystem, a Secured Strategy to Gain Competitive Advantage According to SMOCS Model
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
Attitude to the organizations has been changed over the time. Nowadays by increasing changes in business environments, borders between industries have almost been removed. According to James Moore (1993), organizational activities space is now an ecosystem one in which different businesses from different industries have mutual interactions as well as their survivals extensively depend on each other. These concepts are thoroughly propounded in business ecosystem approach.This paper reviewed different types of making strategic decision by using SMOCS Model was presented by Smida 1995 and showed which consequences and results shall be gained in each type for business ecosystem. It also showed scientific and applicable methods of making strategic decision according to SMOCS Model. So each business ecosystem may choose one of strategic decision making types as per situation and its expectation from the results. The method which applied in this research also authorized us to study a concurrent and simultaneous decision making in three main and important variables (resources, objectives and environmental conditions).Results of this research may help managers to make strategic decision in critical situations and also propose effective and useful offers to make decision. It raises knowledge and awareness level in making decision.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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