The main focus of this paper was to explore the main entrepreneurship areas that can be followed in order to achieve the required outcomes for entrepreneurial tertiary institutions in Namibia. Empirical evidence supports the fact that tertiary institution offerings do not meet the expectations of the students. The quantitative research methodology was applied in writing up this paper. The sample size of the paper comprised of 50 respondents.

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.