Corruption remains one of the most serious problems that hinders economic development, undermines trust in state institutions, and worsens the quality of life of citizens. In today’s digital transformation, innovative technologies such as artificial intelligence, blockchain, and automation of management processes are becoming key tools in the fight against corruption. The purpose of the study is to assess the impact of innovative and technological factors on curbing corruption in the country. The calculations are based on the World Bank data for Denmark, Finland, Singapore, New Zealand, Sweden, Ukraine, Albania, Serbia, Romania, Moldova, and Hungary for the period from 2017 to 2023. Using canonical analysis and a correlation matrix, the article confirms the hypothesis that innovation and technological determinants influence the reduction of corruption. A close relationship is found between the Global Innovation Index (according to the World Intellectual Property Organisation) and Control of Corruption (according to the World Bank), Corruption Perceptions Index (according to Transparency International), Rule of Law (according to the World Bank) and Regulatory Quality (World Bank). There is also a moderate relationship between High-Tech Exports (according to the World Bank) and Rule of Law, High-Tech Exports and Control of Corruption, High-Tech Exports and Corruption Perceptions Index, High-Tech Exports and Regulatory Quality. It was found that 84.7% of the variation in corruption indicators is explained by innovation and technology factors. The canonical coefficient is 0.929, which indicates a strong direct relationship between the groups of variables under study. It is determined that Regulatory Quality has the greatest direct impact on corruption processes. Based on the analysis, the authors suggest areas of innovative and technological changes to combat corruption, including processing large amounts of data, detecting anomalies and patterns, machine learning for risk prediction, preventive anti-corruption measures, and reducing the human factor in public administration. The results of the study can serve as a basis for developing anti-corruption strategies at the national and international levels, in particular through the introduction of digital technologies in public administration.
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Yefimenko et al. (2025) studied this question.