Field Experiment in Multitasking
| Peter Klein |
It finds what you’d expect: When agents are assigned multiple tasks, and evaluated using objective performance criteria, they will tend to favor those tasks that produce measurable outputs, at the expense of equally important, but harder-to-measure tasks. This is why, for example, professors at research universities often neglect their teaching duties. Sure it’s important, but quality is hard to demonstrate, so I’ll concentrate on publications, grants, and other research activities.
Testing the Theory of Multitasking: Evidence from a Natural Field Experiment in Chinese Factories
Fuhai Hong, Tanjim Hossain, John A. List, and Migiwa Tanaka
NBER Working Paper No. 19660, November 2013
A well-recognized problem in the multitasking literature is that workers might substantially reduce their effort on tasks that produce unobservable outputs as they seek the salient rewards to observable outputs. Since the theory related to multitasking is decades ahead of the empirical evidence, the economic costs of standard incentive schemes under multitasking contexts remain largely unknown. This study provides empirical insights quantifying such effects using a field experiment in Chinese factories. Using more than 2200 data points across 126 workers, we find sharp evidence that workers do trade off the incented output (quantity) at the expense of the non-incented one (quality) as a result of a piece rate bonus scheme. Consistent with our theoretical model, treatment effects are much stronger for workers whose base salary structure is a flat wage compared to those under a piece rate base salary. While the incentives result in a large increase in quantity and a sharp decrease in quality for workers under a flat base salary, they result only in a small increase in quantity without affecting quality for workers under a piece rate base salary.