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Record W7132125302

高效协同:供应链与商业模式创新

Xiande 赵先德, 王良, 阮丽旸

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCEIBS Institutional Repository · 2019
Typeother
Language
Field
Topic
Canadian institutionsCentre CasaCentre for Excellence in Mining Innovation
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

21世纪的竞争不再是企业和企业之间的竞争,而是供应链和供应链之间的竞争。供应链的整合与创新不但可以帮助企业降低成本、缩短提前期、提高反应速度,而且还能支持企业提高创新能力、重塑流程与商业模式、提供新的价值主张,以及建立独特的竞争优势。众多研究及实践表明,供应链是企业实现转型升级的关键路径。目前,我国企业的供应链管理的总体水平还处于初级阶段,而数字化新时代对企业打造优质供应链提出了新的要求。正基于此,本书由中欧国际工商学院教授与研究团队通过实地考察与调研,为读者精选出来自零售、流通、技术/大数据服务等产业的八个典型案例,期冀行业从业者能从这些供应链与商业模式创新实践中得到一些有价值的经验和启示。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。<br/>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.381

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.

Opus teacher head0.011
GPT teacher head0.233
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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