Corporate scandals such as Enron, WorldCom and Parmalat, have focused recent governance efforts in the domain of financial reporting due to fraudulent and/or erroneous accounting practices. In addition, the ineffectiveness of the current system of controls has been highlighted, including that some directors have been weak and ineffective monitors of managers. This board of director ‘weakness’ has called for additional mechanisms for monitoring and controlling of management, focusing on financial reporting. This problem intensifies in that today companies function in real-time, and decisions are based on available realtime financial information. However, the assurances provided by traditional auditing take place months after the transactions have occurred and therefore, a trust problem arises because information is not verified in real-time. Consequently, the errors and fraud concealed within the financial information is not discovered until months later. To address this trust problem a conceptual causal model is proposed in this study based on the principles of systems theory. The emergent property of the causal model is increased trust and control. This study establishes that mutual assurances assist in building trust and that information security assists in safeguarding trust. Subsequently, in order to have a positive relationship between the company directors and various stakeholders, uncertainty needs to be contained, and the level of trust needs to surpass the perceived risks. The study concludes that assurances need to be provided in real-time to restore stakeholder confidence and trust in the domain of financial reporting. In order to provide assurances in real-time, continuous auditing is required to verify the integrity of financial information when it becomes available, and not months later. A continuous auditing process has its foundations grounded in information technology and attends to the challenges in real-time by addressing the standardisation of data to enable effective analysis, the validation of the accuracy of the data and the reliability of the system.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:9796 |
| Date | January 2006 |
| Creators | Flowerday, Stephen |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Engineering, the Built Environment and Information Technology |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Doctoral, DTech |
| Format | viii, 280 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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