Abstract
With the development of the information society, there has been rapidly growing number of international research on the role of various (information, innovation, intelligent) technologies as a catalyst to fight corruption. As you know, the problems posed by corruption are economic, social and political consequences. In recent years economists and various researchers have shown increasing interest in studying the phenomenon of corruption. Many researchers in the field of studying corruption phenomenon are of theoretical nature, which studied different behaviors without having developed effective methods and technologies to identify and prevent corruption in the various spheres of government. In this regard, there is a need to study the world experience of application of technologies in the prevention of corruption and anti-corruption platform in Ukraine. This will allow to adapt them to positive experience in the implementation of mechanisms to identify and prevent corruption in Ukraine. The authors believe that to obtain a more accurate picture of the corruption situations that provide characteristics and its quantitative description is possible only by means of modelling the corruption phenomenon. In this regard, the analysis of theoretical models of corruption was made: the modelling made by the mathematical notation of the models and conclusions on the effectiveness of their application in management. Using simulation, the authors came to the conclusion that the detection and prevention of corruption should be carried out with the use of technologies and the system approach: from the study of statistics and use of anti-corruption platforms, public registers and databases to logical and probabilistic (LP) risk models of corruption.
Highlights
Corruption is one of the main problems in the world, which is constantly in the centre of the international community
The work suggests two it from the purchaser of the annuity to the bureaucrat receiving a bribe; and, secondly, of institutions there can exist internal corruption, the activities associated with the struggle for occu- which is reflected in the model as an opportunity pation by bureaucracy “warm places”, and materi- to subsidiary company “shopping” for a bribe to al resources that is the cause of social costs
Private logical probability (LI) corruption risk models are based on the description of the behavior of the institution, officials and end customer value sets and their distribution – discrete series for behavior parameters, objects and sets of values administered event parameters, and event gradations, respectively, to construct a knowledge base and a system of equations according to LI based statistics
Summary
Corruption is one of the main problems in the world, which is constantly in the centre of the international community. The work suggests two it from the purchaser of the annuity (the client) to the bureaucrat receiving a bribe; and, secondly, of institutions there can exist internal corruption, the activities associated with the struggle for occu- which is reflected in the model as an opportunity pation by bureaucracy “warm places”, and materi- to subsidiary company “shopping” for a bribe to al resources that is the cause of social costs. Fect competition and competition with a small number of participants with increasing numbers Mookherjee (1995), for example, in a simple game of hierarchy levels, the social costs increase This model of the type “owner – contractor – client”, result reinforces the proposal of some economists explores the relationship between compensation to consolidate the constitutional limitation of the policy of officials and corruption. Rating of the most corrupt sectors of activiof corruption in 2015 in the lowest corruption is ty (public perception) in Ukraine, compiled on the widespread of Denmark, Finland and Sweden
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