Doug J. Chung
Assistant Professor of Business Administration
Doug J. Chung is an assistant professor of business administration in the Marketing Unit and teaches the Marketing course in the MBA required curriculum and Business Marketing in Executive Education. Professor Chung focuses his research primarily on sales force management and incentive compensation. His current work examines how different components of an incentive compensation plan affect the performance of varying types of sales agents. Professor Chung earned his Ph.D. in management at Yale University, where he also earned an MA and M. Phil in management. He is the recipient of the ISMS Doctoral Dissertation Award, ISBM Doctoral Support Award, and the Mary Kay Doctoral Dissertation Award. He is also a member of the Edward A. Bouchet Graduate Honor Society. He completed his undergraduate studies at Korea University. Prior to pursuing a career in academics, Professor Chung served as an officer and platoon commander in the South Korean Special Forces. He also held a variety of industry positions with several multinational companies.
How to Really Motivate Salespeople
Much of what we believe about the best ways to compensate and motivate the sales force is based on theory and lab experiments. But in the past decade, researchers have been moving out of the lab and into the field, analyzing companies' sales and pay data, and conducting experiments involving actual salespeople. The findings from this new wave of research support some current compensation practices but call others into question. For example, studies clearly show that caps on commissions hurt sales. If managers must retain a cap, they should set it as high as possible to avoid reducing reps' incentives. Although overly complicated compensation systems have their downsides, research has found that a system needs to include enough elements (such as quarterly performance and overachievement bonuses) to keep high performers, low performers, and average performers engaged throughout the year. Managers should be careful in setting and adjusting quotas. For instance, studies show that ratcheting (raising a salesperson's annual quota if he or she exceeded it the previous year) dampens motivation. The research also suggests that it's important to pay attention to the timing of bonuses: a reward given at the end of a period is more motivating than one given at the beginning.
Motivating Diverse Salespeople Through a Common Incentive Plan
For practical reasons, many companies offer a common incentive plan to an entire sales force rather than offering customised plans for each individual. Doug J. Chung, Thomas Steenburgh, and K. Sudhir address how companies can design a single plan that motivates everyone to work to the best of their abilities.
The Dynamic Advertising Effect of Collegiate Athletics
I measure the spillover effect of intercollegiate athletics on the quantity and quality of applicants to institutions of higher education in the United States, popularly known as the "Flutie Effect." I treat athletic success as a stock of goodwill that decays over time, similar to that of advertising. Overall, athletic success has a significant long-term goodwill effect on future applications and quality. However, students with lower than average SAT scores tend to have a stronger preference for athletic success, while students with higher SAT scores have a greater preference for academic quality.
Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity across all segments; (2) overachievement commissions help sustain the high productivity of the best performers even after attaining quotas; and (3) quarterly bonuses help improve performance of the weak performers by serving as pacers to keep the sales force on track to achieve their annual sales quotas. The paper also introduces two main methodological innovations to the marketing literature: First, we implement empirically the method proposed by Arcidiacono and Miller (2011) to accommodate unobserved latent class heterogeneity using a computationally light two-step estimator. Second, we illustrate how discount factors can be estimated in a dynamic structural model using field data through a combination of (1) an exclusion restriction separating current and future payoff and (2) a finite horizon model in which there is no forward looking behavior in the last period.