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Record W7034258756

Strategisk analyse af Carlsberg

2014· other· en· W7034258756 on OpenAlexaboutno aff

Bibliographic record

VenueCBS Research Portal (Copenhagen Business School) · 2014
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategies and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsMarket shareRetail marketDanish
DOInot available

Abstract

fetched live from OpenAlex

The Danish brewer Carlsberg has been a large beer manufacturer the last years and is now estimated to\nbe the 4th largest in the world. The last years have been very active as Carlsberg in 2008 bought the\nBritish brewer Scottish and Newcastle which has put them in a thigh economic situation where future\ninvestments are limited.\nThe last years have been very good for Carlsberg especially onthe Russian market, where they are seen\nas the main brewery. The conflict in Ukraine which has divided Russia against the western world, (US,\nUK, Denmark etc.), are likely to give Carlsberg a lot of challenges in the future where boycotts of\nwestern products are very likely to happen. This would result in a massive loss of income from Carlsberg\nas the Russian market stands for a large share of the revenue.\nAt the moment Russia is Carlsberg’s main export market which only enhances the impact a boycott\nwould cause.\nAt the moment the Carlsberg organization is very keen on finding new ways to brew and to save energy.\nFor the time being Carlsberg has three different research centers which each have its own unique\nresearch area. The focus on research and development is in the spirit of the founder JC, who spent most\nof his time in the laboratory trying to come up with new ways to produce beers.\nOne of the latest investments from Carlsberg was the release of the brand Seth and Riley’s Garage which\nis a hard lemon drink. The brand was released on the Danish, Canadian and the Russian market in the\nbeginning of 2014 and received a lot of possible response. The markets where Carlsberg have launched\nthe product are markets in growth on this specific product. The Americans have had a market for this\nkind of product for a long time and it seems that the rest of the world is starting to take notice of this.\nThe Somersby brand, which Carlsberg launched on the Danish market in 2008 and in 2013 on the British\nmarket, has experience a significant growth in the first years with around 85% increase in revenue per\nyear. Carlsberg is therefore more than keen to expand the markets where the Somersby brand is\nrepresented.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.092
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0030.002
Scholarly communication0.0160.004
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0920.035

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 head0.065
GPT teacher head0.323
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; 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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