24 research outputs found
'Serving Two Masters' and the Chief Audit Executive's Communication: Experimental Evidence About Internal Auditors’ Judgments
The position of an internal audit function (IAF) as a “servant of two masters” (i.e., management and the audit committee) may lead to a conflict of priorities. In this setting, the tone at the top set by the Chief Audit Executive (CAE) plays a critical role in balancing the potentially competing priorities of the “two masters.” We test two hypotheses in a mixed experimental design with the communicated preferences of the CAE to subordinates (cost reduction vs. effectiveness of internal controls) as a between-subjects factor, and levels of ambiguity (low, medium, high) manipulated within-subjects. Findings suggest that the emphasis in the CAE’s message can influence internal auditors’ judgments, and such influence is more pronounced when task ambiguity is high, resulting in the elimination of a significantly greater number of internal controls and the design of less effective processes. We discuss implications of our results for modern IAFs and the role of the CAE
The effect of benchmarked performance measures and strategic analysis on auditors' risk assessments and mental models
As the audit environment becomes more demanding and complex, so does the set of analytical tools available to an auditor. The purpose of this paper is to examine the effect of two complex audit technologies commonly used by auditors, benchmarking of performance measures and strategic analysis, on the risk judgments of auditors carrying out the initial planning of an audit. We conduct an experiment that utilizes a Balanced Scorecard for organizing and evaluating analytical evidence about the performance of business units within a large client. Our first principal finding is that external benchmarking can cause an auditor to focus on performance measures that are unique to a business unit and disregard performance measures that are common to multiple business units but not benchmarked. However, our second finding is that an in-depth strategic analysis completed prior to assessing a client's business risk or risk of material misstatement allows an auditor to incorporate more information from performance measures in risk assessments regardless of whether the performance measures are benchmarked. Strategic analysis facilitates a more balanced and accurate assessment of the risks across the business units being evaluated. We also provide evidence that the latter result occurs because in-depth strategic analysis allows auditors to develop a more complete mental model of a client, which has been a long time belief of advocates of business risk audit methodologies and consistent with current and emerging auditing standards on risk assessment
The effect of benchmarked performance measures and strategic analysis on auditors' risk assessments and mental models
As the audit environment becomes more demanding and complex, so does the set of analytical tools available to an auditor. The purpose of this paper is to examine the effect of two complex audit technologies commonly used by auditors, benchmarking of performance measures and strategic analysis, on the risk judgments of auditors carrying out the initial planning of an audit. We conduct an experiment that utilizes a Balanced Scorecard for organizing and evaluating analytical evidence about the performance of business units within a large client. Our first principal finding is that external benchmarking can cause an auditor to focus on performance measures that are unique to a business unit and disregard performance measures that are common to multiple business units but not benchmarked. However, our second finding is that an in-depth strategic analysis completed prior to assessing a client’s business risk or risk of material misstatement allows an auditor to incorporate more information from performance measures in risk assessments regardless of whether the performance measures are benchmarked. Strategic analysis facilitates a more balanced and accurate assessment of the risks across the business units being evaluated. We also provide evidence that the latter result occurs because in-depth strategic analysis allows auditors to develop a more complete mental model of a client, which has been a long time belief of advocates of business risk audit methodologies and consistent with current and emerging auditing standards on risk assessment.status: publishe
The effect of benchmarked performance measures and strategic analysis on auditors' risk assessments and mental models
As the audit environment becomes more demanding and complex, so does the set of analytical tools available to an auditor. The purpose of this paper is to examine the effect of two complex audit technologies commonly used by auditors, benchmarking of performance measures and strategic analysis, on the risk judgments of auditors carrying out the initial planning of an audit. We conduct an experiment that utilizes a Balanced Scorecard for organizing and evaluating analytical evidence about the performance of business units within a large client. Our first principal finding is that external benchmarking can cause an auditor to focus on performance measures that are unique to a business unit and disregard performance measures that are common to multiple business units but not benchmarked. However, our second finding is that an in-depth strategic analysis completed prior to assessing a client's business risk or risk of material misstatement allows an auditor to incorporate more information from performance measures in risk assessments regardless of whether the performance measures are benchmarked. Strategic analysis facilitates a more balanced and accurate assessment of the risks across the business units being evaluated. We also provide evidence that the latter result occurs because in-depth strategic analysis allows auditors to develop a more complete mental model of a client, which has been a long time belief of advocates of business risk audit methodologies and consistent with current and emerging auditing standards on risk assessment.
The Efficacy of a Decision Support System in Enhancing Risk Assessment Performance
A pervasive challenge for decision-makers is evaluating data of varying form (e.g., quantitative vs. qualitative) and credibility in arriving at an overall risk assessment judgment. The current study tests the efficacy of a Decision Support System (DSS) for facilitating auditors’ evaluation and assimilation of financial and nonfinancial information in accurately assessing the risk of material misstatements (RMM) in financial information. Utilizing the proximity compatibility principle, the DSS manipulates the display of cues either in an integral (where pieces of information are displayed on one computer screen) or separable (where pieces of information are displayed on different computer screens) format. Based on cognitive fit theory, we expect that the integral (separable) display best supports financial (nonfinancial) information processing, leading to enhanced risk assessment performance. In addition, we predict that consistent DSS display of financial and nonfinancial information facilitates risk assessment performance. Further, this study accentuates the importance of auditors’ preference for presentation of financial and nonfinancial information and consistent presentation of all the information in strengthening the effect of DSS display format on risk assessment performance. We design a case which includes a seeded high fraud risk. A total of 112 audit seniors participated in the experiment where the DSS display format was manipulated and the auditors’ RMM assessments and display preferences were measured. The results support the hypotheses and highlight the value of the DSS in enhancing risk assessment performance