Bibliographic record
Abstract
本案例以李晓虹在博世集团和博世中国践行“多元化驱动业务”（Diversity Drive Business，DDB）的各类探索为线索，进一步讨论博世集团战略转型期面对的有关“多元化”的内外部挑战。 在博世总部任职期间（2015—2019），李晓虹曾作为Glocal Leader（本土经理承担和承接全球职责）为总部带来一系列变化，使得博世的创新孵化平台顺利诞生；她还带领HR团队逐步探索新的组织方式，建立HR Lab（人力资源创新产品实验室），为创新提供土壤。2019年，回到博世中国后，李晓虹帮助更多女性发展其潜力，并在人力资源实践中持续创新。近些年，博世中国已成为博世集团在物联网领域赶上数字大潮，带动全球业务发展的重要阵地。 然而，2022年1月底，李晓虹关注到集团女性高管流失的问题已经引起了德国著名杂志《经理人杂志》的热议。与此同时，博世中国近两年内也正在经历离职潮，特别是软件事业部，员工流动率是过去的三倍，许多关键人才都被其他大公司用3—5倍的高薪挖走，而新员工的薪资水平普遍高于类似岗位老员工，比如，有些事业部将其薪资直接和市场拉平，与现有员工工资水平产生了两三倍差距。在一些长期效力于博世中国的忠诚员工看来，这种薪资差异成了对他们的变相惩罚，因此他们深感不公。 眼下，如何解决目前内部员工和外界媒体所反映的多元化人才的薪资差异和性别的多元化问题呢？透过李晓虹面对的挑战，本案例将进一步剖析如下问题：性别、文化和代际等多元化对企业变革和创新有何影响？如何让多元驱动业务发展？
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.054 |
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".