The Need for Educating and Training for Competitive Presence in the International Business Community
Bibliographic record
Abstract
The opportunity for businesses, companies and enterprises to sustain a competitive presence in the international business community will greatly depend on their uncanny ability to achieve and enhance competitiveness, expand productivity and increase profitability. The impact of globalization has forced them to refocus their attention relating to developing progressive, innovative strategies affecting productivity. Originally, creating and integrating comparative advantages were sufficient to substantiate productivity and benefit many players, which could inevitably include regions and countries. However, the new direction for intercontinental organizations necessitates creating, developing and integrating innovative strategies that place value and customer satisfaction as competitive advantages utilized to establish long-term customer relationships with continuity aimed at broad-minded expansion. “Unless an organization is willing to adapt to change and incorporate consequential factors to create new market niches with differentiated productivity to reduce operating costs and increase corporate advantages it will face barriers that could have an adverse impact on profitability and shareholder wealth” (Porter, 1996, p. 331). This paper discusses the need to have curricula guidelines for teaching, molding and training students to become progressive, competitive, productive, cross-cultural and cross-functional members of a global workforce incorporated into the mainstream of the educational process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".