Posted: Sep 10, 2005
The configuration of internal audit reporting lines represents a critical yet underexplored dimension of organizational governance that intersects with computational modeling of decision processes. Traditional research in auditing and organizational behavior has largely approached this topic through qualitative case studies and survey-based methodologies, leaving significant gaps in our understanding of how reporting structures dynamically influence organizational accountability mechanisms. This research introduces a novel computational framework that bridges organizational theory with network science and decision analytics to provide quantitative insights into the complex relationships between reporting structures and organizational outcomes. Internal audit functions serve as essential governance mechanisms within organizations, providing independent assurance and consulting services designed to add value and improve operations. The effectiveness of these functions is profoundly influenced by their organizational positioning and reporting relationships. While professional standards emphasize the importance of internal audit independence, the specific configuration of reporting lines—whether to audit committees, senior management, or through dual-reporting arrangements—creates distinct organizational dynamics that remain poorly quantified. Our research addresses this gap by developing a computational methodology that models how different reporting structures influence information flow, decision velocity, and accountability distribution within organizations. This study is motivated by three fundamental research questions that have not been adequately addressed through existing methodologies. First, how do different internal audit reporting structures affect the propagation of critical information through organizational networks? Second, what is the relationship between reporting line configurations and the quality and timeliness of
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