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Productivity and Labor Allocation Within Teams of Knowledge Workers

Frankfurt, Germany 24 August 2023 – 26 August 2023

Ruo Shangguan (Jinan University); Jed DeVaro (California State University, East Bay); Hideo Owan (Waseda University)

A1 Teams
Chair: Ruo Shangguan
Room HZ11
Economics / Governance within organizations

Abstract

We study the optimal functioning and productivity of teams of white-collar knowledge workers, using data from a large Japanese architectural and engineering consultancy firm. Most team working hours are supplied by only a few workers, evoking the Pareto Principle of business management. A new model of within-team labor allocation replicates the distributions of team productivity and within-team labor allocation and permits decomposition of a nearly 7.5% team productivity increase (resulting from the 2008-2009 financial crisis) into parts due to increases in individual worker productivity (2.5%) and within-team labor reallocation (5%).