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Record W7132638896

Suning.com: Transition from Traditional Retail to Smart Retail

Yue Fang, Guo Bai, Liyang Ruan

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 · 2020
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsTransition (genetics)Government (linguistics)Measure (data warehouse)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

随着技术创新与消费升级,零售业正发生着深刻的变革。2016年10月阿里巴巴云栖大会上,马云首先提出了“新零售”的概念,指出在未来的10~20年,新零售将取代电子商务成为趋势。2017年3月,张近东在全国两会上提出了“智慧零售”概念,标志着苏宁正式入局,并于2017年底提出了“智慧零售大开发”战略。刘强东也于2017年7月发文提出了第四次零售革命和京东“无界零售”战略。经过几年的跑马圈地,各方战略布局已初见端倪,但成败还有待市场的考验。 苏宁以线下起家,逐步发展线上,再到“双线融合”,成为中国零售巨头之一,其发展可以说是中国零售业的缩影。伴随着业务的发展,苏宁也经历了数字化转型,积累了自身的科技实力。在新型零售时代,与天生具有互联网基因的阿里巴巴和京东的竞争中,苏宁不甘示弱,提出了“智慧零售大开发”战略,围绕着“场景互联网”与“智能供应链”,苏宁的布局层层铺开。苏宁下一步应该怎么走?首先,需要仔细复盘苏宁是如何随着时代的变化一步步走到今天的。更重要的是,认清新零售、智慧零售和无界零售的异同和本质。相比其他零售企业,苏宁又应发挥哪些自身的竞争优势?

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)0.001
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: none
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0390.039

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 head0.045
GPT teacher head0.225
Teacher spread0.179 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

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