Bibliographic record
Abstract
世界范围内新一轮科技革命和产业变革正在加速演进，人工智能、大数据、云计算、区块链等新兴技术正在快速迭代升级，各个行业都面临着巨变。巨变牵扯着资本潮来潮去，大量的创业企业因为没有及时摸索出盈利模式，运营问题逐渐凸显，而被淘汰出局。 那么，创业企业究竟应该怎么把握变与不变？为了解答这一问题，中欧国际工商学院教授与案例中心对创业企业进行了长期研究，总结出了其在发展过程中会经历的三个阶段：第一个阶段是商业模式的探索，即从0到1；第二个阶段是商业模式的放大和复制，也就是从1到N；第三个阶段是成熟企业转型，寻找新的商业模式，即从N到N+1。 本书精选了生鲜、出行等领域的八个处于不同创业阶段的案例，旨在带领读者了解不同领域、不同阶段下创业企业在运营、管理、战略及组织等方面的特点，希望能够给读者，尤其是创业者带来一点启示，以应对时代变革。本书每篇案例后还配有业界专家点评，解密其中的商业规则，引领读者拓展思路。
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 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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".