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Record W7132146771

JD.com: The Path to All-round Growth

2012· other· W7132146771 on OpenAlexaff
Gao Wang, Rui Zhang, Leiping Xu

Bibliographic record

VenueCEIBS Institutional Repository · 2012
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsPath (computing)Topology (electrical circuits)Stability (learning theory)TrajectoryNoise (video)
DOInot available

Abstract

fetched live from OpenAlex

经过由柜台经营转向连锁经营,由线下实体经营转向网上零售经营两次大转型以后,京东已成为国内知名的综合类网上商城平台。2011年4月,刚完成了15亿美元的融资,公司董事长兼CEO刘强东正思考着京东发展的核心问题:如何开拓更多顾客,激发并维持他们的忠诚度?商品品类综合化后如何获得平衡发展?在日益激烈的竞争中,京东如何让自己变得更为强大?在这一过程中,又如何协调股东们对于盈利的期望?围绕这些问题,本案例分析了中国网上零售业市场的竞争状况,以及京东的运营模式,指出京东所面临的挑战与困难。案例适用于战略管理、运营管理等相关课程的MBA、EMBA教学。

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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.264
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.096

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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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