Bibliographic record
Abstract
本系列案例围绕曲美家居对挪威Ekornes ASA的要约收购展开。本次并购的发起方曲美家居是中国本土的家居企业，创立于1993年，2015年在上海证券交易所上市，同年提出“新曲美”战略，从单一家具供应商向家居内容服务提供商转型。本次收购的标的Ekornes是挪威的国宝级品牌，旗下拥有“世界上最舒服的椅子”之称的stressless等四个品牌，在欧洲、北美拥有广大市场。 案例（A）主要讨论曲美决定并购Ekornes的原因。第一，曲美为什么决定采用外延式而非内生式成长的方式发展？第二，曲美决定采用并购的方式以后，为何选定Ekornes作为标的？第三，这桩收购案能否实现？完成后还会面临怎样的风险呢？通过案例讨论，学员可以分析收购决策背后的逻辑，学会根据收购目的选择标的、实施并购，分析并规避收购背后的风险点。 案例（B）这主要讨论曲美家居收购Ekornes的交易安排。首先，Ekornes的估值是否合理？其次，如何就合理的估值与标的股东达成收购意向？再次，确定估值以后，交易是如何实现的？具体来讲，并购所需的资本从何而来？交易架构如何搭建？2017年底，曲美家居的资产规模为21.04亿，境外销售仅为487万元；而同期，Ekornes的资产规模达到40多亿，本案例将给希望以小规模并购大规模的企业以启发，具有一定的实操价值。 并购已完成2年有余，其对曲美家居和Ekornes的影响已在业绩表现上有所反映；但其长期的风险和收益还未完全显现，学员自由发挥的空间比较充分。
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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".