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Record W7132549538

Beijing Tianyu Communication Co. Ltd.: Winning in the 3G Era (B)

2010· other· en· W7132549538 on OpenAlexaff
Terence Tsai, Shubo Liu, Shengjun Liu, Shaohua Lu

Bibliographic record

VenueCEIBS Institutional Repository · 2010
Typeother
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsBeijingChinaGovernment (linguistics)Mobile telephony
DOInot available

Abstract

fetched live from OpenAlex

2G时代,手机作为一种独立的消费电子产品存在,品牌厂商在手机市场握有话语权,然而自从进入3G时代,电信运营商处于产业链的主导性地位,手机市场面临巨大调整。创立于2002年的北京天宇朗通通信设备有限责任公司,曾是中国市场最大的三星手机分销商,后来进军手机制造行业。虽然早期经历了很多挫折,但是在六年之后,天宇超越其他国产手机制造商,成为国产品牌销量冠军。2008年,天宇在中国市场销售出2400万部手机,市场份额超过6%,仅次于诺基亚、三星和摩托罗拉。然而,面对3G时代市场的激烈竞争,天宇无法继续依赖其在2G手机市场的独特优势来源。雪上加霜的是,由于经济衰退,2G手机的市场需求急剧下滑。天宇朗通掌门人荣秀丽很快在公司发起一项针对3G手机市场的运动,几乎重新配置新3G业务的所有资源,然而新的战略却遭遇来自公司内外的巨大挑战。本系列共两个案例,案例(B)描述了在这样一个不断变化的市场环境中,天宇如何解决进入新3G市场的问题,以及如何摆正在新的产业链环境中的位置,如何借力海外市场续写2G时代的成功。

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.049
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0490.012

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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