This study examined the issue of corruption in Ukraine within a socio-political context, highlighting that despite the implementation of digital tools like Prozorro and Dozorro, the country continued to face reputational challenges due to persistent corrupt activities. The aim was to explore how digital solutions can serve as an effective tool to combat corruption in public procurement processes and their potential to enhance transparency, accountability, and efficiency. The study employed a mixed-methods approach, integrating qualitative and quantitative techniques to explore the use of digital tools in combating corruption in Ukraine. Data from Prozorro and Dozorro systems from 2020 to 2024 were analysed, along with reports from NABU (National Anti-Corruption Bureau of Ukraine) and SAPO (Specialised Anti-Corruption Prosecutor’s Office), and high-profile journalistic investigations like the Panama Papers and Pandora Papers. Despite advanced digital initiatives, Ukraine continued to face reputational challenges due to ongoing corruption reports. The study found that digital tools, such as blockchain and AI, have potential to enhance transparency and efficiency in public procurement. Challenges during wartime were also highlighted, showing the complexity of combating corruption under such conditions. The research emphasised the importance of international collaboration and public involvement in overseeing government activities. It concluded that a comprehensive strategy combining legal reforms, digital technologies, public oversight, and international cooperation is essential to reduce corruption and foster trust in public institutions. The practical value of this research lies in the development of a multi-faceted anti-corruption approach that integrates these key elements to build a culture of integrity and trust within public institutions
digital tools; transparency; public procurement system; Prozorro; methods of combating corruption; blockchain, anti-corruption policy
Received 12.07.2024, Revised 30.10.2024, Accepted 11.12.2024
Retrieved from Volume 17, No. 2, 2024
https://doi.org/10.56318/dg/2.2024.18
Pages 18-29
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