The purpose of my dissertation is to examine whether competition among audit partners affects audit quality. While prior research on audit market competition focuses on audit firm-level or office-level analyses, I argue that audit partners, as the primary decision makers in providing audit services, are likely to engage in competitive actions in the audit market. Further, I use spatial distance among audit partners to measure partner-level competition. I conjecture that spatial distance could better reflect the dynamics of audit market competition than the Herfindahl index, the traditional proxy for competition used in most extant studies. Drawing on the spatial economics theory and the social comparison theory, I hypothesize a negative association between competition measured by spatial distance and the quality level delivered by the incumbent audit partner. Using newly available data of U.S. audit partners, this study provides evidence that audit quality is higher (lower) when the spatial distance between the incumbent partner and the closest competing partner is larger (smaller). In addition, the results reveal that the effects of competition measured by spatial distance on audit quality is mainly a partner-level phenomenon rather than an office-level one. Overall, this study highlights the importance of studying competitive dynamics among audit …

The purpose of this dissertation was to examine how managers' judgments from an internal auditor's recommendation are influenced by some aspects of newer data sources and the related visualizations. This study specifically examined how managers' judgments from an internal auditor's recommendation are influenced by the (1) supportiveness of non-financial data with the internal auditor's recommendation and (2) evaluability of visual representations for non-financial data used to communicate the recommendation. This was investigated in a setting where financial data does not support the internal auditor's recommendation. To test my hypotheses, I conducted an experiment that uses an inventory write-down task to examine the likelihood that a manager agrees with an internal auditor's inventory write-down recommendation. This task was selected as it requires making a prediction and both financial and newer non-financial data sources are relevant to inform this judgment. The study was conducted with MBA students who proxy for managers in organizations. Evaluability of visual representations was operationalized as the (1) proximity of financial and non-financial graphs, and (2) type of non-financial graph as requiring a length judgment or not. This dissertation contributes to accounting literature and the internal auditing profession. First, I contribute to recent experimental literature on data analytics …