MétaCan
Menu
Back to cohort
Record W7132572304

Better Life Supermarket: Digital Transformation through Distributed Empowerment

Yuhchang 黄钰昌, 钱文颖, Weiru 陈威如

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 · 2022
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsDigital transformationEmpowermentContext (archaeology)Digital divideTransformation (genetics)Set (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

本案例主要介绍了连锁超市步步高的数字化转型探索以及在实施数字化转型时面临的挑战,折射出中国传统零售商中集体的困境,本案例特别强调了激励机制的协同对于一家传统企业顺利推动数字化转型的重要性。 步步高作为中国本土的连锁超市,2017年开始数字化转型的探索。它选择从线下门店开始切入,通过数字化手段逐个击破了线下门店运营中的痛点问题,还做到了对员工工作的可衡量、可评估。员工只要在步步高研发的一款移动端门店管理系统工具下工作,就能实现运营效率的大幅提升。但门店员工没有意愿配合,数字化工具形同虚设,试点门店业绩也没有提升。面对数字化转型过程中“人”的挑战,步步高导入了激励机制的协同。步步高通过合伙人制3.0中对基层员工提成和超额奖金的激励,配合“动态用工”的数字化工具,激活了基层员工的积极性;通过合伙人制4.0中店长参与跟投的设计,激活了门店店长的积极性。在激励机制的协同之下,步步高的数字化转型得到了快速推动,数字化试点门店的利润实现了大幅增长。但步步高的数字化转型还有很多的挑战,比如零售环境的进一步变化、比如公司中台、后台部门对前台员工分享利润的不满……接下来,步步高应该如何应对挑战呢?

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.

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)0.000
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, 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 score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0010.004
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0440.010

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 head0.229
Teacher spread0.218 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCEIBS Institutional RepositoryFrench-language works237,207