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Digitalisation of accounting of agricultural enterprises: National and international experience

2024· article· en· W4406025336 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUKRAINIAN BLACK SEA REGION AGRARIAN SCIENCE · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureBusinessAccountingNational accountsGeography

Abstract

fetched live from OpenAlex

The study aimed to analyse the peculiarities of the introduction of digital technologies in the field of accounting at agricultural enterprises, in particular, the analysis of national and international experience. The study analysed the process of digitalisation of accounting at agricultural enterprises in Ukraine, which is an important step towards improving management efficiency, reducing operating costs and ensuring compliance with modern regulatory requirements. The analysis of the main trends in the implementation of automated accounting and financial accounting systems demonstrated that such systems allow agricultural enterprises to automate routine processes, reduce the number of errors and reduce the time for preparing financial statements. The study also revealed several challenges towards the full digitalisation of accounting, including insufficient technical infrastructure, lack of qualified personnel, and low digital literacy. Insufficient funding and regulatory barriers are also serious challenges for businesses. Particular attention was devoted to cybersecurity issues, which are increasingly relevant due to the growth of digital data. The study compared the Ukrainian experience with the experience of the European Union, the United States, and Canada, where the digitalisation of accounting has reached a high level. The study proposed recommendations for the successful implementation of digital technologies in accounting processes at agricultural enterprises in Ukraine, addressing the existing limitations and opportunities. The study emphasised the importance of auditing the existing digital infrastructure, investing in equipment upgrades, staff training, gradual introduction of new technologies, and partnerships with leading digital solution providers. The findings emphasise the significant potential of digitalisation to increase the efficiency, transparency, and competitiveness of Ukrainian agricultural enterprises, but achieving these goals requires a balanced approach to the introduction of new technologies, government support, and appropriate educational training. The results obtained in this study can be used to improve the digitalisation of accounting at Ukrainian agricultural enterprises, increase the efficiency of financial management and adapt international standards to local conditions

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.252
Teacher spread0.229 · 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