Configurational pathways to ecological footprint: fsQCA analysis of Digital Nations member countries and emerging economies

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.

Fraud is an enormous obstacle to a country’s development because it can cause failure in achieving goals. The most significant source of fraud in Palembang Local Government of Indonesia arises from the procurement of goods and services, which reached 49.1% in 2020. Therefore, this study aims to examine how fraud awareness and good government governance affect fraud prevention. This paper targets one of the Regional Government areas of Palembang City, Indonesia. One hundred twenty-two respondents comprised the head of budget staff, budget user authority staff, and commitment-making committee staff. Data were obtained using a questionnaire with a Likert scale. The study employed two endogenous variables (fraud prevention and fraud awareness), one intervening (fraud awareness), and two exogenous variables (whistleblowing and good government governance). Following this, structural equation models were used to examine the relationships between each variable. The study results show a significant positive effect of whistleblowing and good governance on fraud awareness. In contrast, fraud awareness had no significant impact on fraud prevention. The obtained results found that fraud awareness cannot mediate the whistleblowing system through fraud prevention; also, fraud awareness is not a moderating variable to influence good governance through fraud prevention. The paper contributed empirical evidence to explore fraud prevention approaches by maintaining consistency in the implementation of the whistleblowing system, anti-corruption culture, and supervision to identify unusual activities.

Corruption is one of the major challenges facing both developed and developing countries, which seriously undermines governance and economic stability. This is specifically true for civil servants, whose vulnerability to corruption is greatly increased by the particular pressures and opportunities arising in their work. This study aims to explore perceived corruption among civil servants in Semarang, Indonesia, using the fraud triangle and attribution theories that point to psychological and organizational factors in corruption. The sample consisted of 99 civil servants convicted of corruption. This study used multiple linear regression to analyze data on how perceived pressure, opportunity, and rationalization contribute to unethical behavior. From the results, perceived pressure, especially financial stress, and the opportunity for corruption due to weak organizational controls were significant driving factors for corrupt actions. Financial pressure emerged as the most influential factor, followed by the opportunity for unethical behavior in weak organizational environments. The study emphasizes the need to address both psychological factors, such as personal values and ethical leadership, and organizational factors, like strengthening internal controls and reducing opportunities for misconduct. These findings provide valuable messages for policymakers in designing comprehensive anti-corruption strategies that could reduce both internal motivations and external opportunities that foster corruption among civil servants.