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Record W7131964080

Establishing Botanee as a Great Chinese Brand Across Digital Touch Points

Yajin 王雅瑾, 曹之静

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 · 2023
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsPerspective (graphical)Point (geometry)ClothingKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

近年来,随着消费者的需求越来越个性化、多样化,越来越多的新消费品牌开始涌现在市场上。但近几年的行业表现证明,只是通过资本加持、外包生产、过度营销等手段,品牌很难获得长期的可持续发展。本案例选择专注敏感肌肤的功效性护肤品牌薇诺娜及其公司贝泰妮作为对象,描述了薇诺娜从创立以来是如何通过产品创新,渠道布局和数字时代多触点的管理来切入敏感性肌肤这个细分市场的,又是如何一步步拓展市场并成为国内的护肤品领军品牌的。 从2018年开始,薇诺娜连续多年入围天猫美容护肤类目榜单前十,也是唯一连续上榜的中国品牌。 展望未来,贝泰妮还面临着很多问题。薇诺娜目前占据公司营收的99%以上,如何才能做好品牌拓展、覆盖更多的客群?薇诺娜旗下的明星单品特护霜一直是品牌收入的重要贡献来源,未来公司如何打造第二款“大单品”? 随着公司规模扩大、触点不断增多,人员结构越来越复杂,如何做好内部的品牌管理?

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.003
Science and technology studies0.0050.005
Scholarly communication0.0060.006
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.053

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 head0.274
Teacher spread0.264 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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