Study on Internationalization Strategy of China’s New Business Education in the Background of Digital Economy
Bibliographic record
Abstract
As the global economy is undergoing transformation and upgrading in the background of the digital economy, it leads to a reformation of business education in the new context, which brings the concept of new business education in China. One of the significant features of the new business education is multidisciplinary teaching and learning. Meanwhile, it is closely related to strategic decision-making in disciplinary program design, research design, faculty recruitment, teaching models, and international strategies. Benefited from the internationalization of higher education in past years, traditional business education has gained an advantage in introducing international students, teachers, and resources and building global cooperation platforms, including international visits and multiple studies in an international context. However, it cannot meet the demand for cultivating talents in the era of the digital economy. This paper starts with the connotation and feature of new business education, discussing internationalization strategy with a fresh perspective and unique positioning. Meanwhile, it aims to provide a theoretical and practical value for China’s business schools with internationalization strategy making in the background of the digital economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".