Bibliographic record
Abstract
本案例从文化变革与人才管理的角度去讨论公司文化落地的问题。 S地产公司是一家大型房地产国企，在21世纪头十年国内房地产行业经历房价迅速上升和市场迅速扩大时，在国内房地产开发公司综合排名中曾经名列前茅。 随着国家对房地产行业的政策逐渐收紧，市场竞争日趋激烈，虽然S地产公司的规模也迅速翻番，但与行业中的领先公司相比，发展速度相对缓慢。S地产公司的高层意识到了这个不利趋势，提出了雄心勃勃的业绩目标：2018年实现比2011年6倍以上的收入和3倍以上的净利润。 为实现这个目标，S地产公司提出了“狼性文化”的口号，意图借此重振雄风，2011年成为S地产公司新十年规划的起步之年。从2011年开始，S地产公司上上下下都参与讨论 “狼文化”究竟是什么这个命题。管理者对“狼性”的理解千差万别，思想并未完全统一。 此时，S地产公司的母公司S集团决定将房地产作为发展重头戏，这也增加了S地产公司在业绩上尽快回归房地产业第一梯队的紧迫性。 在运营模式上，S地产公司要改变以往惯用的做法，从“高品质、高利润”转型为通过加快周转率而扩大规模。这意味着强绩效导向的“狼文化”必须贯彻到工作流程当中。城市公司总经理——“头狼”们感到了巨大的业绩压力，他们不但首当其冲要对业绩负责，同时他们还要面临诸多复杂的管理问题，有一些是S地产公司从总部到地方公司的制度协调问题，还有一些现象是行业人才特点所决定的。 案例讨论时，可以让学生分组分角色讨论国企高管和城市公司总经理双方在强绩效压力下的挑战，培养学生认识各自的管理目标和局限条件，换位和多角度思考人才管理问题的能力。
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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".