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Record W7132215387

INJET: Organizational Management Challenges in Business Development

2024· other· W7132215387 on OpenAlexaff
Jian 韩践, 王雏, 朱琼

Bibliographic record

VenueCEIBS Institutional Repository · 2024
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsBusiness developmentBusiness managementBusiness analysisBusiness relationship managementManagement developmentOrganization developmentWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

四川英杰电气股份有限公司(以下简称“英杰”,股票代码:300820)是面向多个行业的工业电源设计及制造企业。本案例描述了公司创建30年的组织发展历程,特别描述了研发和销售这两个核心业务部门的组织和人才管理挑战。 英杰创办于1993年,最初是四川德阳的一家校办企业,经过多年努力,逐步积累自主研发和技术创新能力,并在工业电源的进口替代方面建立了自己的品牌效应,产品多为技术复杂度较高的定制化产品。 截至2023年6月,英杰已经拥有12个技术平台,7个分、子公司,业务面向40多个行业,并且已向充电桩、储能、专用于LED外延片生产设备的编程直流电源等领域拓展。随着业务的拓展,英杰面临着组织变革和随之而来的人才管理挑战,集中体现在缺乏技术研发和销售方面的人才,以及能够洞察市场、带兵打仗的将才。如何解决这一系列人才难题呢?创始人王军及其管理团队在苦苦寻觅解决之道。

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)0.010
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0130.019
Scholarly communication0.0280.019
Open science0.0020.008
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0110.002

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 head0.028
GPT teacher head0.237
Teacher spread0.209 · 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
Published2024
Admission routes1
Has abstractyes

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