Revisiting Corruption Mathematical Models in the Fourth Industrial Revolution

Abstract

Analyzing corruption is a topic of interest to many and is indeed very complex due to its inherent difficulties with its identification and quantification. Past studies present several variables, indices, computational models, and approaches, but their relevance in the fourth industrial revolution (Industry 4.0) has been debatable. This chapter addresses the need to revisit the mathematical models and approaches in the Industry 4.0 context. The chapter provides a foundation for this argument through a compressive literature review followed by a proposal of a three-stage concept for corruption identification. The chapter illustrates two case studies from which a strong justification derives for considering the digital transformation and use of big data to deal with corruption and improve the external and internal perceptions about corruption in general.

Key Terms in this Chapter

Ethics: Moral values and principles that regulate individual actions based on societal values.

Bribery: Collusion or extortion that involves soliciting for gifts, loans, fees, rewards, or other benefits that are not channeled through the detectable source(s).

Industry 4.0: Also known as the Fourth Industrial Revolution. It is a modern industrial phase focusing on interconnectivity, robotics, machine learning, and real-time data.

Corruption: A sophisticated, well-structured, and deliberately designed crime committed with common knowledge, usually secretively.