Bibliographic record
Abstract
在颠覆式创新理论的影响下，创业企业在进入传统行业进行数字化创新创业时，大都直接瞄准行业的痛点问题，利用先进技术推出创新解决方案，从不被行业既存者注意的低端市场起步，试图逐步向主流市场渗透直至颠覆既存者。然而，历史数据表明，通过颠覆式创新成功颠覆传统行业的创业企业很少，大部分创业企业都遭到了既存者的强烈抵制，甚至夭折在创业的路上。那么，除了颠覆式创新，创业企业还能通过什么样的创新战略在传统行业获得成功？众安的案例给出了另一种答案。在创业的8年间，众安践行了与传统保险不一样的价值主张：向用户提供风险保障服务，而不是提供只有出险后才能用上的保险产品。通过产品和服务创新，众安不仅开拓了自己的生存空间，也为行业带来了增量市场；同时，众安还通过科技输出赋能其他企业以打造共享价值的生态。由此，众安走出了一条与传统保险共存的发展路径。2021年10月，众安又发布了数字保险生态立方计划，意欲开拓具有更大行业跨度的生态。至此，众安CEO姜兴面临着一个战略抉择：众安的生态版图如何延伸？众安是应该继续采取与传统保险共存的创新战略，还是应该启动它对传统保险行业的颠覆之旅？
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.161 |
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".