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Profit Sharing, Interconnected Autonomous Teams, and Employee Productivity

Frankfurt, Germany 24 August 2023 – 26 August 2023

Marco Barrenechea-Mendez (Universidad Publica de Navarra); Avner Ben-Ner (University of Minnesota); Sara Martinez-de-Morentin (Universidad Publica de Navarra)

A1 Teams
Chair: Ruo Shangguan
Room HZ11
Economics / Institutions and organizations in political economy

Abstract

Interconnected autonomous teams (IAT) reflect a human resources policy of organizing employees into a network of autonomous teams and allowing individuals to work on more than one of those teams. This paper studies how such a policy influences the productivity effects of profit sharing (PS). We first argue that the presence of IAT could mitigate the “free rider” problem in each team of the network. Next, using the European Working Conditions Survey, we document a positive relationship between employee productivity and the interaction between PS and IAT. We interpret this result as a confirmation that IAT might indeed alleviate the “free rider” problem associated with profit sharing schemes.

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