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THE ROLE OF CORPORATE GOVERNANCE IN THE INVESTMENT DEVELOPMENT OF INTERPRISES: in THE EXAMPLE OF SWEDEN

2023· article· en· W4386466023 on OpenAlexaboutno aff
Dilafruz Azimova

Bibliographic record

Venuejurisprudence · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanking, Crisis Management, COVID-19 Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceBusinessStakeholderAccountingCorporate securityShareholderTransparency (behavior)Corporate communicationInvestment (military)Economic systemEconomicsFinancePolitical scienceManagementPoliticsLaw

Abstract

fetched live from OpenAlex

Effective corporate governance is an important condition for the successful operation of an enterprise. Defining sustainable development and protecting the rights of shareholders, customers, and other stakeholders serves as the most important direction of the enterprise’s activities in the field of improving its financial efficiency. The family model of corporate governance, or family capitalism and family business groups, has become widespread in almost all countries of the world. Such a corporate governance system is often found in Asian and Latin American countries, in Canada, and in European countries (Sweden, Italy, and France). The management of the largest corporations is carried out by members of the same family. This article examines the features of the corporate governance system in foreign practice, in particular in Sweden, where theoretically and practically analyzed such issues as the evolution of theories and basic principles of corporate governance, the role of corporate governance in the investment support of enterprises, its modern methods and models, and institutional issues. In addition, corporate governance bodies in Sweden and their interaction with the executive body, the tasks and functions of regulatory bodies, corporate culture, assessment of the transparency of investments in enterprises, and the effectiveness of corporate governance, as well as the main stages of the process of preventing and combating the risk of corporate fraud, are analyzed.

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)0.002
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 score0.015
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.007
Scholarly communication0.0100.002
Open science0.0010.005
Research integrity0.0020.002
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 head0.054
GPT teacher head0.274
Teacher spread0.220 · 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
Published2023
Admission routes1
Has abstractyes

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