Knowledge that Transforms

Abstract Since the passage of the Sarbanes‐Oxley Act of 2002, many notable frauds have been tied to ineffective audit committee (AC) oversight. As a result, AC oversight is of continuing interest, and regulators continue to debate this issue, garnering a growing body of research focused on the role played by the AC. But little theoretical research exists to guide analytical and empirical researchers investigating AC oversight. The purpose of this study is to provide theoretical guidance by examining AC oversight in a strategic setting. We focus on the AC's role in overseeing internal controls (ICs) and the impact of whether the AC relies on management in designing the controls. We characterize how the nature of control risk changes and how IC strength is associated with the amount of managerial fraud, expected probability of fraud detection (which, on average, equates to audit effort), and audit quality (assessed as 1 − audit risk) across two settings defined by the degree of AC oversight. As one example that highlights the need for theoretical guidance, we consider the literature's presumption that IC strength is negatively associated with audit effort. We find that this association may be positive or negative as IC changes, where the association varies with the degree of direct AC oversight and the change in payoff parameters.

Abstract Many companies use color codes in their internal performance reports to highlight how current performance compares to performance in a previous period. We examine whether the use of color coding affects managers' decision‐making in a resource allocation task. We argue that managers' decision accuracy will be lower if they receive noisier feedback, but that this detrimental effect of noise can be mitigated through color coding. Using two experiments, we find evidence consistent with our theory. Managers who receive reports in which performance increases are color‐coded green and performance decreases are color‐coded red are less affected by noise than managers who receive feedback reports without color coding. Supplemental analyses suggest that color coding induces managers to process feedback in a more holistic manner, which reduces the adverse effect of noise on managers' learning processes. Our findings have several important implications for research and practice.

Abstract I examine whether a strategic focus on data analytics is associated with improvements in firms' internal information quality. Using textual analysis of firm disclosures to identify a data analytics strategy, I first document that firm, leadership, and operating environment characteristics are all important determinants of the decision to adopt a data analytics strategy. I next use operating and financial reporting outcomes to infer whether a data analytics strategy improves internal information quality. I find that a data analytics strategy is associated with enhanced operating efficiency, as adopting firms invest and utilize existing resources more efficiently. I also find that a data analytics strategy is associated with more accurate management forecasts. These results, collectively, are consistent with a data analytics strategy improving firms' internal information quality. Lastly, I corroborate and extend my findings with job postings data, and the results suggest that firm leadership signals their support for data analytics initiatives through disclosure.

Abstract Auditor changes are significant corporate events marking disruptions in the auditor‐client relationship. Prior studies have primarily examined the impact of such changes on audit quality and investment decisions of market participants. We study the effect of auditor changes on the voluntary disclosure of forward‐looking information. Managers may choose to reduce disclosure due to the possible adverse effect of the disruptions on disclosure credibility. Alternatively, shareholders may demand increased disclosure to intensify monitoring, as the auditor change signals potential issues between the company and the auditor. Employing multiple identification strategies, we find that firms are less likely to issue management earnings forecasts (MEFs) following auditor changes. We also find that governance quality mitigates the negative impact of auditor changes on the issuance of MEFs. Additionally, auditor changes are associated with lower market reactions to forecast releases. The overall evidence is consistent with the notion of reduced forecast credibility. Lastly, we conduct cross‐sectional analyses on characteristics of the auditor changes and find evidence consistent with signaling and anticipated successor audit quality to be underlying mechanisms for the association between auditor changes and MEFs. Our study provides the first large sample evidence that auditor changes have a disruptive effect on the voluntary disclosure of forward‐looking information.