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Aggregation Bias

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Item Summary

Title:Aggregation Bias
Authors:Nakkas, Alper
Chen, Kay Yut
Zhang, Jie
Keywords:The Impact of Digitization on Business Operations
Organizational Systems and Technology
Information Aggregation, Learning, Forecast Sharing, Review Aggregation, Experiment
Date Issued:08 Jan 2019
Abstract:We propose an axiomatic approach to a decision maker’s information aggregation problem. This axiomatic analysis provides a positive model of the decision maker’s evidence assessment process, wherein submitted credible evidence is aggregated into an overall assessment that is responsive to the individual assessments provided. We show that the axiomatic approach produces a two-parameter family of functions and the parameters of the aggregation function have natural interpretations as the decision maker’s bias against the information provider’s report and the breadth of the interpretation of the decision maker’s perspective. We consider two different applications and provide empirical evidence that the decision makers use this form of information aggregation in practice.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/60115
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.814
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: The Impact of Digitization on Business Operations


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