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Record W7132749505

Xibei's Business Model: Creating Shared Value for Stakeholders

2020· other· W7132749505 on OpenAlexaff
Oliver M. Rui, Qiong Zhu

Bibliographic record

VenueCEIBS Institutional Repository · 2020
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsValue (mathematics)Creating shared valueWork (physics)Key (lock)Value propositionSharing economy
DOInot available

Abstract

fetched live from OpenAlex

2019年,创建31年的西贝依靠与利益相关者共享价值的商道,稳坐中式餐饮的头部位置。西贝创始人、董事长贾国龙说,与利益相关者共享价值,不是因为他本人或者西贝有多高尚,而是出于商业目的,为了从这些价值中获得更大的价值回报,从而把西贝打造成一家与全球餐饮巨头相比肩的企业。31年来,西贝已经用这个商道建起了良性的价值循环,西贝竞争力也因此得到不断提升。发展到2019年6月底,西贝已在全国56个城市开了350家店。未来,西贝要将店开遍全球,而贾国龙也意识到,在更大市场中应用共享价值的商道挑战极大,因为这将考验他和西贝在更大市场上对价值的收放能力,把价值或利放出去后,如果反哺价值收不回来,这个商道就要失败。那么,在更大的市场上,他将如何才能收放自如呢?

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)0.001
metaresearch head score (Gemma)0.003
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
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.078
GPT teacher head0.272
Teacher spread0.194 · 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 designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

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