Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
نویسندگان
چکیده
We estimate a dynamic structural model of sales force response to a bonus based compensation plan. The paper has two main methodological innovations: First, we implement empirically the method proposed by Arcidiacono and Miller (2011) to accommodate unobserved latent class heterogeneity with a computationally light two-step estimator. Second, we estimate discount factors in a dynamic structural model using field data. The key to identification of discount factors is that bonuses affect only future payoff in non-bonus periods providing exclusion restrictions on current payoffs. Further, we exploit differences in predicted effort (and thus sales) over time from the exponential and hyperbolic discounting models to identify present bias in a hyperbolic discounting model. 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. We also find clear evidence of hyperbolic discounting by salespeople.
منابع مشابه
Optimal Sales Force Compensation in Dynamic Settings: Commissions vs. Bonuses
This paper studies optimal sales force compensation plans in a multi-period moral-hazard model when the firm wants to implement high effort in every period but only obtains aggregate information on sales. The sales agent chooses effort each period after observing previous sales and his incentive responsiveness might change over time. The paper derives conditions under which a linear incentive s...
متن کاملA structural model of sales-force compensation dynamics: Estimation and field implementation
We present an empirical framework to analyze real-world salesforce compensation schemes, and report on a multi-million dollar, multiyear project involving a large contact lens manufacturer at the US, where the model was used to improve sales-force contracts. The model is built on agency theory, and solved using numerical dynamic programming techniques. The model is flexible enough to handle quo...
متن کاملThe Long-Run Performance of Firms Adopting Compensation Plans Based on Economic Profits
Proponents of compensation plans based on economic profits argue that these plans control for deficiencies in stock-based or earnings-based bonus plans and thereby better align managers’ and shareholders’ interests. We examine whether compensation plans based on economic profits do in fact produce better investment decisions. We use a sample of 51 firms adopting economic profit plans between 19...
متن کاملProductivity dynamics, performance feedback and group incentives in a sales organization∗
This paper investigates the effect of performance feedback on productivity in a company where workers operate in teams and receive a bonus that depends on both individual worker and team productivity. To address this issue, we employ weekly productivity and administrative data obtained from the customer service centre of an insurance company. We find evidence that performance feedback given eac...
متن کاملMotivating salespeople: what really works.
No sales force consists entirely of stars; sales staffs are usually made up mainly of solid perfomers, with smaller groups of laggards and rainmakers. Though most compensation plans approach these three groups as if they were the same, research shows that each is motivated by something different. By accounting for those differences in their incentive programs, companies can coax better performa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Marketing Science
دوره 33 شماره
صفحات -
تاریخ انتشار 2014