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When Will Workers Follow an Algorithm?: A Field Experiment with a Retail Business

Date: 2022-11-02
Speaker: Kohei Kawaguchi
Speaker Intro:

Assistant Professor, School of Economics, Hong Kong University of Science and Technology.

Prof. Kawaguchi's CV.

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Description:

This paper studies if and under what conditions workers follow an algorithm, in the context of experimentation with product assortments for beverage vending machines. I develop an algorithm to automate the human task, and use simulation to show that it increases revenue. I then conduct a field experiment where I introduce the algorithm. However, it fails to increase revenue, because workers are not willing to follow it. They follow only when their opinions are integrated. Workers having more regret from the last business semester follow the algorithmic advice more, and less when their opinions are integrated.

Time: 2018-10-18(Thursday)16:40-18:00
Venue: N302, Econ Building
Organizer: WISE&SOE

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