Pave the Chinese way selected cases on global corporation's localization strategy
Bibliographic record
Abstract
2000年起，中国实施了“走出去”战略，这给无数中国企业提供了一个巨大的舞台。自中国经济迅猛发展以来，许多中国企业无论在体量上还是市场地位上，都渴望也需要一个更大的市场大展拳脚。与此同时，中国这块肥沃的市场也引发了越来越多国外企业的关注和垂涎，并不断“走进来”。但想要掌控中国市场，也并不是件容易的事。战略、资源、组织结构、市场、文化……每一个元素都可能成为横亘于企业面前的障碍。 本书从中欧国际工商学院案例库中遴选了这些年来全球化企业案例中具有代表性的案例，并请中欧国际工商学院管理学教授忻榕为本书撰写分册导言，引导读者理解案例故事背后的商业逻辑，希望能通过这些企业的经验和教训，启发读者找到更好的方法来迎接全球化的挑战。 目录： 导言 中国工商银行与南非标准银行 上海汽车与韩国双龙 特斯拉进中国 百思买：试水中国 米其林：领导力变革 Uber中国：优步专车平台的精益创新之路 《中国好声音》：现象级娱乐节目
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.007 |
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; both teacher heads agree on what is shown here.
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".