TAXATION, AUDITING, INTERNAL CONTROLS, AND FINANCIAL COMPLIANCE

Authors

Sixbert SANGWA
African Leadership University image/svg+xml
Placide MUTABAZI
Open Christian University image/svg+xml

Synopsis

Taxation, auditing, internal control and financial compliance address a shared enterprise problem: how consequential financial claims can be discharged, tested and made answerable without confusing formal conformity with economic integrity. This chapter develops a theoretically critical and operationally detailed account of twelve approved functional domains, connecting tax economics and compliance behaviour with agency and assurance theory, risk-based auditing, the COSO control architecture and professional ethics. Its secondary-source methodology integrates foundational peer-reviewed scholarship, international standards and official Rwandan law and administration as publicly available on 2 November 2026. It distinguishes taxes from accounting expense, tax examinations from independent financial audits, and control design from control operating effectiveness. Rwandan corporate income tax, value added tax and employment withholding are illustrated through explicitly constructed transactions using verified public guidance, with assumptions and statutory limitations disclosed. A reconciled cash-intensive enterprise example provides an audit trail, tax computation, control matrix, compliance calendar, evidence hierarchy and quantified exception investigation. Comparative analysis uses Kenyan electronic tax invoicing, international audit standards and field evidence on third-party reporting while identifying limits to contextual transfer. The argument is that credible compliance is a continuous governance capability linking valid legal interpretation, reliable records, independent challenge, proportionate controls and remediable error. Digitalization expands both visibility and exposure; it does not itself establish completeness, fairness or assurance. The proposed integrative framework is conceptual and educational, not an empirically validated causal model.

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Forthcoming

24 October 2026