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Record W7132748039

Freshippo: A New Species in Chinese Retail (B)– Data-Driven Core Competencies

张文清, 朱琼

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 Casa
Fundersnot available
KeywordsCore competencyCore (optical fiber)Measure (data warehouse)Key (lock)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

这个(A)、(B)系列案例主要呈现盒马在零售市场如何利用大数据资源、借助新技术打破传统线上、线下边界,创造新的零售商业模式。与硅谷式的“从0到1,再从1到n”精益创业的思路不同,盒马在“1”尚未形成时,就开始了模式的复制。这个系列案例的特别之处在于,它包含两个逐层递进的90分钟教学计划,不仅可以帮助同学理解商业模式蓝图的9个模块及其之间的契合度、联动关系,还可以帮助同学理解数据和新技术能如何驱动商业模式创新。更进一步,它还能激发同学去思考,如何以战略的视角去捕捉商业模式的创新点。甚至,它还能启发同学去辩证地思考在创业时是否要遵循硅谷式的从0到1,再从1到n的创业思路及客户开发模型。 案例(B)主要描写盒马商业模式成立背后的数据和技术驱动因素。盒马之所以能跨越线上线下零售边界,就在于整合应用了移动互联网、云计算、大数据和人工智能等技术,实现了兼容“全渠道超市”和“移动电商”的新零售模式,并由此实现了消费者和门店随时随地、线上线下的互动。

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), 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 score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0010.002
Open science0.0060.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.041

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 head0.069
GPT teacher head0.280
Teacher spread0.210 · 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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