The rapidly growing interest from both academics and practitioners in the application of big
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …

Creating an intelligent system that can accurately predict stock price in a robust way has
always been a subject of great interest for many investors and financial analysts. Predicting …

The article is devoted to modern topical theoretical and practical problems of interaction
between international anti-corruption and financial and legal norms in the field of preventing …

Countries have been develo** and deploying anti-corruption tools based on artificial
intelligence with hopes of them having positive capabilities. Yet, we still lack empirical …

Numerous studies and various methods have been used to detect and prevent corruption in
public procurement. With the development of IT technology and thus the digitization of the …

We contend that corruption must be detected as soon as possible so that corrective and
preventive measures may be taken. Thus, we develop an early warning system based on a …

Abstract Although Machine Learning (ML) in supply chain management (SCM) has become
a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area …

The paper proposes a two-stage approach that combines data mining and complex network
theory to optimize the locations and service areas of dry ports in a large-scale inland …

The diversity of sources and formats of public bidding documents makes collecting,
processing, and organizing such documents challenging from the point of view of data …

Public works procurements move US $10 billion yearly in Brazil and are a preferred field for
collusion and fraud. Federal Police and audit agencies investigate collusion (bid-rigging) …