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https://repository.hneu.edu.ua/handle/123456789/39828Повний запис метаданих
| Поле DC | Значення | Мова |
|---|---|---|
| dc.contributor.author | Desyatnyuk O. | - |
| dc.contributor.author | Krysovatyy A. | - |
| dc.contributor.author | Ptashchenko O. | - |
| dc.contributor.author | Kyrylenko O. | - |
| dc.contributor.author | Kurtsev O. | - |
| dc.date.accessioned | 2026-05-06T19:32:40Z | - |
| dc.date.available | 2026-05-06T19:32:40Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Desyatnyuk O. A Framework for Digital Logistics Transformation: Innovation Implementation with Financial Interest Protection. / O. Desyatnyuk, A. Krysovatyy, O. Ptashchenko and other // African Journal of Applied Research. – 2025. – Vol. 11, No. 7. – Рр. 45–65. | uk_UA |
| dc.identifier.uri | https://repository.hneu.edu.ua/handle/123456789/39828 | - |
| dc.description.abstract | Purpose: This study aims to analyse how the digital economy reshapes logistical processes, with a particular focus on strengthening financial resilience, minimising risks, and ensuring adaptability amid environmental volatility. Design/Methodology/Approach: The study uses a synthesis of critical discourse analysis, comparative analysis, and secondary statistical data analysis. Official reports, academic literature, and sectoral surveys of logistics enterprises were used as empirical materials, enabling both quantitative and qualitative assessments of digital transformation trends. Research Limitation: The article also has certain limitations, as it focuses on large and medium-sized enterprises, whereas small businesses may face different challenges in implementing digital tools. Other limitations of the research relate to the accessibility of the statistical information (data sets), which does not entirely capture the velocity at which the technology is being embraced. Future research should expand the sample and include case studies of SMEs. Social Implication: The results indicate that the introduction of new technologies, including blockchain, IoT, artificial intelligence, and big data analytics, can, in addition to saving costs and enhancing efficiency, improve transparency, build trust between stakeholders, and lead to sustainable development by minimising environmental consequences. Practical Implication: IoT and big data tools improve demand forecasting, inventory management, and adaptive decision-making. Automation of financial and operational tasks reduces errors, accelerates workflows, and enhances the overall efficiency of logistics enterprises. Originality/Value: The current study offers a holistic model that connects the digital change to financial security in logistics. In contrast to previous reports that primarily focused on cost reduction or automation, the paper emphasises systemic resilience, institutional transparency, and sustainability as the significant consequences of digital economy integration. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.subject | Digitalisation | uk_UA |
| dc.subject | economy | uk_UA |
| dc.subject | financial security | uk_UA |
| dc.subject | innovative | uk_UA |
| dc.subject | Transformations | uk_UA |
| dc.title | A Framework for Digital Logistics Transformation: Innovation Implementation with Financial Interest Protection | uk_UA |
| dc.type | Article | uk_UA |
| Розташовується у зібраннях: | Статті (МЕМ) | |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| Framework for Digital Logistic.pdf | 84,15 kB | Adobe PDF | Переглянути/відкрити |
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