MétaCan
Menu
Back to cohort
Record W7132410169

Haier Laundry Dryers’ Consumer Insights: Introducing an Established Product to an Emerging Market

2024· other· W7132410169 on OpenAlexaff
Lingling 张玲玲, 赵玲

Bibliographic record

VenueCEIBS Institutional Repository · 2024
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsLaundryProduct (mathematics)Emerging marketsNew product developmentWork (physics)Variety (cybernetics)
DOInot available

Abstract

fetched live from OpenAlex

1984年海尔成立于中国青岛,从生产冰箱起家,历经40年的发展,已经成为全球家电知名品牌。在欧美等地区由于不允许晾晒,干衣机早已是成熟的刚需产品,西门子等国际知名品牌业已进入中国,性能上具备绝对优势。由于中国具有传统的晾晒文化,干衣机在中国并不具备刚需属性,干衣机品类在中国长时间以来处于“水土不服”的状态。中国市场在2015至2019年主推洗烘一体机,短短几年内经历了高速增长, 2019年开始销售呈下降趋势。 海尔的干衣机团队通过广泛的调研分析,以用户为中心,从干衣机的使用场景出发,准确理解不同场景下用户希望达成的目标,深入洞察中国用户的真实需求,研发突破了烘干、降噪、毛屑过滤、护理等干衣机功能,结合价格、渠道、促销等策略促进干衣机在中国市场的销售。2019年,海尔在中国市场推出独立干衣机。海尔干衣机在中国市场的市占率连续多年名列前茅,到2022年,海尔独立干衣机市占率稳居中国市场第一位。 海尔干衣机的发展给中国企业以及想进入中国市场的国外企业带来一些启发和思考:(1)成熟品类进入新兴市场如何深入考虑当地的用户需求,进行“本土化”用户洞察?(2)独立干衣机的快速发展可能会导致洗烘一体机的销量加速下滑。一个原本属于过渡型的产品“洗烘一体机”,和一个功能更好的产品“独立干衣机”,在中国市场应该如何迭代?如何处理好二者之间的关系?海尔应该全力以赴专注于发展独立干衣机吗?

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)0.003
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.004
Science and technology studies0.0030.004
Scholarly communication0.0030.005
Open science0.0030.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.026

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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCEIBS Institutional RepositoryFrench-language works237,207