In this paper, I synthesize the prior psychology literature on ego depletion and apply this literature to an auditing setting. Ego depletion refers to a reduced desire or ability to use self-control in task performance due to using self-control on prior tasks. I focus on the likely causes and consequences of depletion in an auditing setting, as well as means of mitigating depletion and recovering self-control resources. While ego depletion theory is prevalent in the psychology literature, little is known about whether or how ego depletion affects professionals on meaningful task performance. As a result, this synthesis is aimed at stimulating future ego depletion research in accounting, and specifically auditing, by surveying existing literature and applying this literature to an auditing setting. Further, I develop 13 questions for future research to investigate. My synthesis reveals that ego depletion likely has a pervasive effect in an auditing setting, and can hinder auditors’ judgment and decision-making (JDM) quality. Therefore, this synthesis helps to provide a greater understanding of the impact of auditing tasks on individuals, and refines both auditor JDM and ego depletion theories.

SUMMARY We insert an automated high-quality (HQ) auditor into established experimental audit markets to test the impact of high-quality competition on other auditors' supply of and managers' demand for audit quality. Theory predicts that managers will demand high levels of audit quality to avoid investors' price-protecting behavior. This demand should result in the HQ auditor dominating the market and increase other auditors' audit quality provision to compete with the HQ auditor. However, we find that the HQ auditor does not dominate the market—despite holding audit costs constant and investors placing a premium on HQ auditor reports. We also find that adding an HQ auditor results in other auditors lowering audit quality. Additional analyses indicate some managers demand lower audit quality to avoid negative audit reports, consistent with loss aversion as a potential explanation. Our findings indicate a need to develop a more comprehensive theory of the demand for auditing. Data Availability: The laboratory market data used in this study are available from the authors upon request.

We use experimental economic markets to examine the impact of changing institutional design features on audit quality. Specifically, we manipulate auditors' economic accountability to managers by altering who hires the auditor—a manager or an independent third party—and auditors' psychological accountability to investors by explicitly stating that the auditor is hired on the investors' behalf. Our design shifts auditors' accountability from managers, who have directional goal preferences, to investors, who prefer judgment accuracy. We find that removing auditors' economic accountability to managers and replacing it with psychological accountability to investors significantly increases audit quality. This increase in audit quality occurs despite the independent third party randomly hiring auditors. In an additional treatment, we incorporate auditor accuracy into the third-party hiring algorithm and find even higher audit quality. Our results suggest that altering auditors' accountability relationships can significantly enhance audit quality. Data Availability: The laboratory market data used in this study are available from the authors upon request.

ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research.

Ego depletion is embroiled in a crisis that has cast doubts over the legitimacy of the phenomenon itself and its theoretical explanation. I first summarize and analyze the strength model of self- control as cohesive theoretical explanations of the phenomenon and highlight the difficulties it creates for depletion researchers. I conclude that the strength model is not the best theoretical explanation for the depletion phenomenon. Rather, I propose reconceptualizing the ego depletion effect as transient cognitive fatigue (TCF). To support this theoretical shift, I highlight how both the classic and disparate findings in the depletion literature cleanly map into the literature on cognitive fatigue, and how considering depletion to be TCF accommodates existing theoretical alternatives to the strength model.