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Record W4376863300 · doi:10.18280/ijsdp.180418

Ensuring Sustainable Development of the Enterprise During the Transition to Industry 5.0

2023· article· en· W4376863300 on OpenAlexvenueno aff
Olha Marchenko, Olga Guk, Yuliia Borutska, Наталія Пачева, Volodymyr Zaichenko

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEngineering
TopicDigital Transformation in Industry
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSustainable developmentEnvironmental planningProcess managementIndustrial organizationEnvironmental sciencePolitical science

Abstract

fetched live from OpenAlex

The prerequisites for the study were the strengthening of signals for the development of Industry 5.0.The main purpose of the article is to model the sustainable development of the enterprise in the context of the transition to Industry 5.0.To do this, the scientific task will be to select and implement a methodological approach with elements of modeling to ensure sustainable development.The object of the study is the sustainable development of the transportation and travel enterprise.The basis of the methodology is the modern technique of functional modeling of planning and management decision-making.For this, a modern modeling method using graphic language technologies was chosen.The obtained results of the study have elements of novelty through the presented two directions for ensuring sustainable development for a really practicing enterprise.It is determined that the preparation of entrepreneurial and production activities before the introduction of Industry 5.0 is not an easy and fast process, but it is completely justified today.The innovativeness of the results obtained is presented in the form of a sustainable development model.The study has limitations and they consist in using the experience of the previous industrial revolution and exclusively take into account the theoretical vision of Industry 5.0.Further research will include benchmarking to better understand the work of sustainable development.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2023
Admission routes1
Has abstractyes

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