Anti-corruption Capabilities Research Articles

Enhancing Smart Healthcare Networks: Integrating Attribute-Based Encryption for Optimization and Anti-Corruption Mechanisms

This study investigates the feasibility and effectiveness of integrating Attribute-Based Encryption (ABE) into smart healthcare networks, with a particular focus on its role in enhancing anti-corruption mechanisms. The study provides a comprehensive analysis of current vulnerabilities in these networks, identifying potential data security risks. An anti-corruption mechanism is designed to ensure data integrity and reliability. The ABE approach is then empirically compared to other prominent encryption algorithms, such as Identity-Based Encryption, Data Encryption Standard, Advanced Encryption Standard, and Rivest-Shamir-Adleman algorithms. These methods are evaluated based on access latency, data transmission speed, system stability, and anti-corruption capabilities. Experimental results highlight the strengths of the ABE algorithm, demonstrating an average access latency of 31.6 milliseconds, a data transmission speed of 3.56 MB/s, and an average system stability of 98.74%. Furthermore, when integrated into anti-corruption mechanisms, ABE effectively protects against data tampering and misuse, ensuring secure data transmission. Compared to alternative algorithms, ABE offers a more efficient, secure, and stable solution for data management within smart healthcare networks, supported by its robust anti-corruption capabilities. This positions ABE as an optimal choice for safeguarding the integrity and security of healthcare data.

Inovatyvių analitinių ir statistinių technologijų, kaip kovos su korupcija priemonės, įgyvendinimo kryptys

Relevance of the topic. The article sets out to explore the potential of innovative analytical and statistical technologies in monitoring, detecting, and counteracting corruption within state systems. The central objective is to clarify key concepts, determine the nature and content of these technologies, and analyse their applications in anti-corruption efforts. The research methodology combines the scrutiny of official documents, legislations, public authority websites, and software providers with a focus on their anti-corruption capabilities. The study reveals that analytical and statistical technologies constitute a specific form of information technology, embodied in functional information systems that fulfil organisational objectives and assist in decision-making processes. They assist primarily in the identification and prediction of probable cases of corruption or fraudulent activities, utilising mathematical methods and advanced analytical algorithms. Key areas where these technologies can significantly contribute include data collection and processing, communication and office processes, general management processes, decision-making processes, and expert systems development. The problem. Corruption remains one of the largest socio-economic issues affecting a country’s development and undermining citizens’ trust in governing structures. Innovative analytical and statistical technologies such as artificial intelligence, machine learning, big data analysis, and others, hold the potential to provide effective monitoring and detection of corrupt schemes. The purpose of this article is to determine the directions for implementing innovative analytical and statistical technologies as a tool for monitoring, detecting and counteracting corruption in the state. Research object: Application of innovative analytical and statistical technologies in the fight against corruption. The results. Innovative analytical and statistical technology is a type of information technology, which is embodied in the form of a functional information system aimed to fulfil organisational objectives and assist in decision-making processes. These technologies are considered essential tools for countering corruption at the state level, primarily by identifying and predicting probable cases. The application of mathematical methods and advanced analytical and statistical algorithms can reveal inconsistencies and potential corruption or fraudulent activities. Counteracting corruption has also benefitted from advancements in information technologies. Currently, efforts to counter corruption focus on digital government services, crowdsourcing platforms, transparency portals, big data, and artificial intelligence. In this context, there are five key areas where analytical and statistical technologies can contribute: data collection and processing, communication and office processes, general management processes, decision-making processes, and the development of expert systems. Keywords: corruption counteraction, artificial intelligence, machine learning, information

Will the integrated GRC implementation be effective against corruption?

PurposeBusiness Principles for Countering Bribery, 2003, helps companies design and implement anti-bribery policies, one of anti-corruption. Since then, the business environment has changed, can carry out anti-corruption activities from within the organization through a management system. Currently, the business world recognizes the existence of an integrated governance, risk management and compliance (GRC), where one of the goals is to overcome the risk of corruption in the organization. Therefore, this study aims to clarify the concept of integrated GRC implementation within the organization through previous studies from 2007 to 2021.Design/methodology/approachThis study was designed in a systematic literature review based on five journal publishers’ articles/journals from the Web of Science, Scopus and Google Scholar databases. Keywords used to search consist of Anti-Corruption (AC); Governance (G); Risk Management (RM); Compliance (C); GRC. The four keywords G, RM, C and GRC, are filtered based on articles that correlate with AC.FindingsOverall, this review shows a few concepts for integrated GRC implementation in organizations that effectively support the prevention and detection of corruption. Although no empirical research has been found in the literature review, these three GRC silos – governance, risk management and compliance – support anti-corruption. In other words, it is hoped that the successful implementation of the integrated GRC in the future can improve the anti-corruption capabilities to be achieved in every organization.Research limitations/implicationsResearch only discusses one internal function within the organization, of the many internal functions that are known to detect and prevent corruption.Practical implicationsOrganizations can use this review to understand the importance of internal functions in combating the risk of corruption with a more consistent and committed commitment to implementing an integrated GRC.Originality/valueAs far as the authors’ search is concerned, there is no review of the concept of integrated GRC implementation against anti-corruption. It invites researchers to examine the actual implementation of this integrated GRC in organizations.

Exploring anti-corruption capabilities of e-procurement in construction project delivery in Nigeria

The use of electronic (e-­) procurement to support the execution of supply chain management activities in the different industrial sectors is permeating all regions of the world. However, in countries in sub-Saharan Africa where there is a significant level of corruption and unethical practices in the procurement process, there is a need for a better understanding of how e-Procurement can help to check the incidence of corrupt and unethical practices in construction project delivery. This study relied on a cross-sectional survey of 759 respondents, including architects, builders, engineers, estate/facilities managers, contractors, construction/project managers, quantity surveyors, supply chain managers and others to identify and analyse the anti-corruption capabilities of e-Procurement in construction project delivery in Nigeria. The results of the descriptive statistics, relative importance index and principal components analysis identified 18 anti-corruption capabilities in e-Procurement in construction project delivery with the three most important ones being the capability of e-Procurement to ensure good inventory management/record keeping; accountability by providing audit services trail and minimise direct human contacts during bidding. The key underlying dimensions of these capabilities include the advantage of e-Procurement over the traditional paper-based method; transparent bidding process and increase in competition in construction project delivery process. The findings of this study have implications, especially, on the use of e-Procurement to curb corruption in construction procurement activities.

The Role of Electronic Procurement in Preventing Corruption

This paper analyses the risk factors of corruption in the government procurement processes such as in project planning, product design and documentation, tender process, contract awards, and accounting and auditing. The paper highlights the traditional procurement process and its practice in Bhutan. It also presents the drawbacks of the traditional procurement process in actual implementation. The benefits and drawbacks of using the electronic procurement system are also highlighted in this paper. The paper intendeds to recommend the adoption of electronic Procurement system as one of the corruption prevention strategies and also the anti-corruption capabilities of electronic procurement, particularly the automation and audit trail capabilities to potentially increase the transparency and accountability of the government procurement process. The success stories of other countries like Georgia, Mexico, Chile and South Korea in adopting and implementing a successful electronic procurement system are also described in this paper to support the recommendations.

An Empirical Evaluation Of The Potential Of Public E-Procurement To Reduce Corruption

One of the significant potential benefits of e-procurement technology is reducing opportunities for corruption in public procurement processes. The authors identified anti-corruption capabilities of e-procurement through an extensive literature review and a theoretical model representing the impact of three latent variables: monopoly of power, information asymmetry, and transparency and accountability upon the dependent variable, the intent-to-adopt e-procurement. This research was guided by the Principal-Agent theory and collected the perceptions of 46 government officers of the potential of public e-procurement to reduce corruption in public procurement processes. Results were analysed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings suggest that the intent-to-adopt e-procurement has a positive and significant relationship with the independent variables that might inform developing countries in strategies to combat corruption in public procurement.

The potential of e-procurement technology for reducing corruption

This paper discusses a theoretical background for an anti-corruption strategy through the principal-agent theory, and explores the potential of public e-procurement for reducing corruption in public procurement. It explores risk factors of corruption in relation to the roles of government, agent, and briber. The Anti-corruption potential of public e-procurement includes the reduction in monopoly of power, information asymmetry, corruption fees, and corruption services. In the paper we also discuss case study examples from Denmark, Singapore, the Republic of Korea, and the Government of Andhra Pradesh in India. These indicate the potential of e-procurement for greater transparency and efficiency. The discussions suggest that the anti-corruption capabilities of public e-procurement have many benefits, particularly, in terms of enhancing accountability, effectiveness and transparency in government procurement, to combat corruption.