Search results

Financial accounting to assess stewardship: the case requires students to evaluate Thompson’s stewardship of McDonald’s, in part based on the company’s financial accounting information. Financial reporting performs an important societal role by helping control agency problems that arise from the separation of ownership and management. Since external stakeholders cannot “observe directly the extent and quality of managerial effort on their behalf […] the manager may be tempted to shirk […] blaming any deterioration of firm performance on factors beyond his/her control” (Scott, 2014, p. 23). However, although financial reporting helps hold managers accountable to shareholders, accounting information is not fully informative about managerial effort. For example, while net income provides useful information regarding the CEO’s stewardship, it is also “noisy,” due to recognition lags and other factors (Scott, 2014, p. 364). Efforts undertaken by Thompson in a particular period, such as marketing expenditures, might reduce current earnings, yet boost future profitability. Additionally, Thompson’s predecessor’s past efforts might have positive or negative effects on current earnings. Evaluating stewardship effectively involves considerable judgment, in addition to knowledge of financial accounting. The implication of poor firm performance is that the CEO is ineffective at formulating and implementing strategies and policies to enhance firm value (Dikolli et al., 2014). Specifically, it appears that missing earnings benchmarks matter more for relatively inexperienced CEOs. Don Thompson’s tenure of 33 months at McDonalds is 42 percent lower than median CEO tenure documented in academic research, where the median tenure of chief executives documented in large sample empirical studies is about 57 months (Dikolli et al., 2014). The evidence suggests that the longer a CEO serves, the less likely he is to be dismissed for performance-related reasons. This appears to be the result of the resolution of uncertainty about CEO’s ability and leads to subsequent declines in the level of monitoring by the Board of Directors. Performance evaluation and bias: a significant body of research explores the extent to which female managers are assessed differently than their male counterparts (Powell and Butterfield, 2002). For example, female CEOs face more threats from activist investors than male CEOs. Therefore, even after women achieve the highest managerial rank, they experience more professional challenges than their male counterparts (Gupta et al., 2018). However, the question of whether black CEOs are assessed differently is more challenging to answer empirically as a result of a smaller sample size (only one percent of S&P 500 companies are run by black CEOs). Our case attempts to develop the inference that if female CEOs are subject to bias, analogous forces are likely at work when black CEOs are assessed. Recent evidence further suggests that business students sometimes demonstrate bias in making assessments (Mengel et al., 2018). The authors discuss these findings – as well as strategies for including them in the case discussion – in the “Teaching Strategy” section herein below.

The case was written from the public record surrounding the appointment of Don Thompson and McDonald’s company filings. The record includes articles from The New York Times and The Wall Street Journal, as well as local and industry publications.

The case examines the role of financial accounting in evaluating CEO performance in the context of the appointment of McDonald’s first African-American chief executive and his subsequent two-and-a-half years on the job. The case deepens students’ understanding of the link between financial reporting and stewardship, while highlighting the subjectivity inherent in assessing managerial performance, particularly over relatively short time periods. As students analyze the case, they must consider the extent to which a firm’s results are attributable to luck vs skill. We use “skill” to refer to CEO effort and other controllable factors, while “luck” refers to exogenous factors, such as macroeconomic conditions. Assessing stewardship is of practical significance. It allows pay to be better aligned with performance and empowers stakeholders to identify when a change of leadership may be warranted. The case may also be used to spur reflection, in an applied context, on the importance of being alert to unconscious bias, even when evaluating seemingly objective financial reporting data. Recent research, discussed herein, suggests that business students sometimes exhibit bias when making assessments.

The case should be included in discussions of corporate governance, executive compensation and the role of accounting information in efficient contracting. It is appropriate in intermediate financial accounting courses for undergraduates, introductory graduate accounting courses, or other courses with an element of financial statement analysis. Standard introductory accounting textbooks offer helpful supplementary reading for students. Horngren et al.’s (2014) book, Introduction to Financial Accounting (12th ed.), Pearson, London, provides an overview of the income statement and its role in assessing performance (see Chapter 2) as well as a useful discussion on evaluating the components and trends of a business (see Chapter 12). More advanced students may benefit from the in-depth discussion of earnings quality, operating income and non-operating income found in Chapter 4 of Intermediate Accounting (9th ed.), McGraw Hill Education, New York by Spiceland et al. (2018).

This compact case provides a relatively large data set that students explore using visualization and a Tableau dynamic dashboard that they create. Students were asked to describe what the data set contained in relation to employee attrition experience of Baca Beverage Distributors (BBD). The application and managerial questions are set in human resources and a company that is facing high attrition during the pandemic.

BBD shared their data and problem scenario for this compact case. The protagonist, Morgan Matthews, was the authors’ contact and provided significant clarification and guidance about the data. Both the company and the protagonist have been disguised. Some of the job positions have been rephrased. All names of employees, supervisors and managers have been replaced with codes.

During the 2020–2022 pandemic years, BBD experienced, like many companies, a higher than usual employee turnover rate and Morgan Matthews, Director of People, was concerned. Not only was it time-consuming, expensive and disruptive but the company had prided itself on being a good place to work. Were they hiring the right people, people that fit the company culture and people that fit the positions for which they were hired? The company had been using the Predictive Index [1] when on-boarding employees. In addition, there were results from self-reviews and manager reviews that could be used. Morgan wondered if data visualization and visual analytics would be useful in describing their employees and whether it would reveal any opportunities to improve the turnover rate. Before seeking a solution for the high turnover, it was important to step back and learn what the data said about who was leaving and the reasons they gave for leaving.

This compact case can be used in courses that include visualization using Tableau and dashboards. As it is a compact case, it requires less preparation time from the students and less class time for discussion. The case is for students who have been recently introduced to business analytics, specifically visualization and data storytelling with Tableau. For this reason, significant guidance has been provided in the case assignment. The level of the case can be adjusted by the amount of guidance provided in the case assignment. Courses include introduction to business analytics, descriptive analytics and visualization, communication through data storytelling. The case can be used for all modalities – in person, hybrid, online. The authors use it here for visualization and dynamic dashboards but using the same data set and compact case description, exploratory data analysis could be assigned.

Supplementary material for this article can be found online.