Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance

Diwas S. Kc (), Bradley R. Staats (), Maryam Kouchaki () and Francesca Gino ()
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Diwas S. Kc: Goizueta Business School, Emory University, Atlanta, Georgia 30322;
Bradley R. Staats: Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599;
Maryam Kouchaki: Kellogg School of Management, Northwestern University, Evanston, Illinois 60208;
Francesca Gino: Harvard Business School, Boston, Massachusetts 02163

Management Science, 2020, vol. 66, issue 10, 4397-4416

Abstract: How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, to complete work more quickly. As the number of tasks increases, however, workers may also manage their workload by a different process—task selection. Drawing on research on workload, individual discretion, and behavioral decision making, we theorize and then test that under conditions of increased workload, individuals may choose to complete easier tasks to manage their load. We label this behavior task completion preference (TCP). Using six years of data from a hospital emergency department, we find that physicians engage in TCP, with implications for their performance. Specifically, TCP helps physicians manage variance in service times; however, although it initially appears to improve shift-level throughput volume, after adjusting for the complexity of the work completed, TCP is related to worse throughput. Moreover, we find that engaging in easier tasks compared with hard ones is related to lower learning in service times. We then turn to the laboratory to replicate conceptually the short-term task selection effect under increased workload and show that it occurs because of both fatigue and the sense of progress individuals get from task completion. These findings provide another mechanism for the workload-speedup effect from the literature. We also discuss implications for both the research and the practice of operations in building systems to help people succeed.

Keywords: healthcare; knowledge work; decision making; discretion; workload (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (9)

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