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Revisiting Corruption Mathematical Models in the Fourth Industrial Revolution
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Author(s): Arpita Patra (Monitronics Success College, Namibia), Lovemore Matipira (Namibia University of Science and Technology, Namibia), Fanny Saruchera (University of the Witwatersrand, South Africa)and K. S. Sastry Musti (Namibia University of Science and Technology, Namibia)
Copyright: 2021
Pages: 27
Source title:
Advanced Perspectives on Global Industry Transitions and Business Opportunities
Source Author(s)/Editor(s): Fanny Saruchera (University of the Witwatersrand, South Africa)
DOI: 10.4018/978-1-7998-4303-0.ch013
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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.
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