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Record W4311630979 · doi:10.18280/ijsdp.170703

Management of Business Projects of the Enterprise as a Factor of Increasing International Competitiveness in the Conditions of Global Sustainability

2022· article· en· W4311630979 on OpenAlexvenueno aff
Оksana Zybareva, Pavlo Shylepnytskyi, Denys Krylov, Sergii Arefiev, Kateryna Ozarko, Mariia Hryhorkiv

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSustainabilityContext (archaeology)Project managementProcess managementCompetition (biology)International businessIndustrial organizationEconomicsManagement

Abstract

fetched live from OpenAlex

The article is devoted to the substantiation of the conceptual aspects of business project management, which is caused by the aggravation of international competition in the context of the establishment of sustainable development. The purpose of the study is to substantiate theoretical and methodological principles of the business projects management of enterprises, which will contribute to increasing international competitiveness in the conditions of global sustainability. The research used resource and system approaches, as well as the principles of purposefulness, interaction and efficiency of business project management. The functional dependence of the business project management is substantiated. Directions for improving the business projects management in the area of critical deviations of the trajectory of the project state are proposed. It has been proven that the randomness and uncontrollability of events form the variability of the expected value of the result of the business project management and expands the range of searching for the goals achievement with the deviation minimization of the project execution trajectory from the planned one. It has been justified that taking into account and increasing managerial, methodological, financial, production, scientific and innovative and marketing potentials contributes to increasing the competitiveness of enterprises in the international market in the conditions of global sustainability.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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 designObservational
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

Citations14
Published2022
Admission routes1
Has abstractyes

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