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Record W7132440359

Mindray Bio-Medical (C): Marketing Strategy in the Ultrasound Imaging System Business

2008· other· en· W7132440359 on OpenAlex
Kwaku Atuahene-Gima, Leiping Xu

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 · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsUltrasonic sensorUltrasound imagingMedical imagingUltrasoundProcess (computing)Ultrasonic imagingUltrasonography
DOInot available

Abstract

fetched live from OpenAlex

As extremely important medical imaging equipment, ultrasonic imaging systems were widely used in modern medical institutions. However, domestic enterprises in the ultrasonic imaging business were faced with challenges, like low-end products and the presence of large international competitors. Under this background, Chinese enterprise Mindray Biological Medical Electronics was assessing the future development of the company’s ultrasonic imaging business. In 2007, chairman Xu Hang needed to consider some crucial issues pertaining to the development of ultrasound imaging. Case (A) focuses on the entry strategy decision for the ultrasonic imaging market; case (B) focuses on Mindray’s research strategy path in the ultrasonic imaging market; and case (C) describes the marketing strategy decision-making process and challenges of the ultrasonic imaging business.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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
Published2008
Admission routes1
Has abstractyes

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