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Record W4401037667 · doi:10.32782/2308-1988/2024-50-9

ANALYSIS OF THE MAIN INDICATORS OF THE FUNCTIONING OF THE SUBSIDIARY IN UKRAINE DURING THE WAR

2024· article· en· W4401037667 on OpenAlexaboutno aff
Lilia Bublyk

Bibliographic record

VenueСталий розвиток економіки · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEconomic systemPsychologyEconomics

Abstract

fetched live from OpenAlex

To analyze the main indicators of private business activity in Ukraine during the martial law, the ADIDAS-UKRAINE subsidiary was chosen, since the history of its operation reproduces the instability and dynamism of the domestic economy. Adidas, the history of which began in 1920 as a factory for tailoring sports shoes, is one of the most rated and respected companies in the world. Its annual profits are impressive, the ability to create stylish, modern clothes and shoes that meet the highest quality and comfort criteria is surprising, and the company's management is the envy of competitors. What is behind this? We believe that these are years of hard work, the ability to endure defeat and boldly go to important victories. The Adidas company, which has long grown into a global concern, includes the following companies: "Reebok", which specializes in the production of sports clothes and shoes, as well as accessories for sports, "Rockport" - a manufacturer of shoes intended for festive events and weekdays, CCM specializes in hockey equipment and Taylor Made Golf provides premium quality golf equipment. Determination of the profitability and profitability of the main indicators of the activity of the specified subsidiary is the subject of scientific interest of a large number of researchers of entrepreneurship during the martial law. Thus, determination of turnover ratios of the main components of capital and financial dependence and independence will demonstrate the efficiency and sustainability of the enterprise. Other indicators of business activity show the dependence of SE "ADIDAS-UKRAINE" on borrowed and own funds and the maneuverability of the company's total, equity capital. The Adidas concern unites eight enterprises in Germany and more than 25 around the world, namely representative offices in the USA, Canada, France and other countries. The ADIDAS-UKRAINE subsidiary was founded in 1996 and is one of the leaders of the sports goods market in Ukraine, specializing in wholesale and retail trade of sports games, equipment, clothing and footwear of a well-known brand and is its official representative. To analyze the effectiveness of the functioning of the subsidiary "ADIDAS-UKRAINE", the main indicators of the company's financial activity in the period 2021-2023 were considered. And the main results of the study revealed an improvement in the efficiency of the company's activity in 2023 and an increase in trends towards the growth of the main performance indicators.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.194
Teacher spread0.185 · 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
GenreEmpirical

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

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