Key research themes
1. How can technological advancements enhance the effectiveness and efficiency of audit programs through automation and continuous auditing?
This research theme investigates the integration of technology, particularly automation, continuous auditing, and AI, into audit programs to improve audit quality, reduce manual effort, and provide real-time or near-real-time assurance. It focuses on methodological frameworks, practical implementations, and challenges faced during the adoption of automated audit systems, aiming to transform traditional periodic audits into continuous, data-driven processes.
2. What are the methodological frameworks and practical approaches for applying process mining and continuous monitoring in audit programs?
This theme focuses on the adoption and operationalization of process mining and continuous monitoring techniques within the audit context. It explores frameworks involving business role participation, visual analytics for monitoring, and the integration of event logs for compliance verification, aiming to enhance audit transparency, stakeholder engagement, and assurance coverage through automated and participatory approaches.
3. How can business process modeling and requirements elicitation support the development of effective audit programs and systems?
This research area investigates how structured business process modeling approaches, such as BPMN, facilitate the elicitation and specification of accurate software requirements for audit systems. It emphasizes the importance of aligning system functionalities with stakeholder needs through early validation and reduces ambiguity in audit system development to create robust, technology-aligned audit support solutions.