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Record W7132317173

WinChannel's Digital Gambit to Revitalize Rural China (B)

2019· other· en· W7132317173 on OpenAlex
Peter Moran, Daniel Han Ming Chng, Liman Zhao

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
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsFast-moving consumer goodsDigitizationChinaDigital transformationGambitDisruptive innovationEnablingSustainabilityService (business)
DOInot available

Abstract

fetched live from OpenAlex

The primary purpose of this case series is to illustrate how key tools and frameworks of strategic analysis may be applied in an integrative way to understand the evolving sources of value creation and the reasons for its capture and sustainability in the fast-moving consumer goods (FMCG) industry as new digital technologies are applied. The cases will help students understand how digitization is enabling and shaping the transformation of the traditional FMCG industry in China. The case series traces the developments in China’s FMCG industry from the early 2010s to 2017, in general, and the efforts of Beijing WinChannel Software Technology Co., Ltd. (WinChannel) and its affiliated company, Huixiadan, in their attempt to apply new digital technologies to transform the traditional trade channel, in particular. Case (A) presents an overview of China’s FMCG industry in the early 2010s from the perspective of WinChannel, an information service provider to major FMCG companies in China. It explains the three major distribution channels (i.e., routes-to-market) and focuses on the challenges facing the traditional trade channel through which FMCG companies provide their products to millions of “mom-and-pop” stores (i.e., small, independently owned and operated convenience stores), especially in rural parts of China. In early 2015, Zhen (Andrew) Cui, Founder and CEO of WinChannel, is exploring how he can help improve the reach and efficiency of the traditional trade channel and wonders if the emerging online/mobile B2B FMCG platforms is the right solution for the increasingly digitized FMCG retail industry in China. Case (B) introduces Cui’s response to the challenges posed in Case (A). In May 2015, he launches Huixiadan, a mobile-based B2B FMCG ordering platform, connecting a selected group of leading FMCG companies and their numerous distributors and wholesalers with potentially millions of mom-and-pop stores in China. Huixiadan uses mobile technologies to develop an inclusive and collaborative business model around the existing traditional trade channel. However, it faces fierce competition from many online competitors seeking to disrupt the FMCG industry, including Chinese e-commerce giants Alibaba and JD.com. Cui is wondering how competitive and sustainable Huixiadan’s business model is and what he should do to withstand the competitive threats even as he tries to exploit opportunities in the traditional FMCG industry in China.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.056

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 head0.007
GPT teacher head0.226
Teacher spread0.220 · 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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