Consumers' ability to identify a surplus when returns to attributes are nonlinear

Previous research in multiple judgment domains has found that nonlinear functions are typically processed less accurately than linear ones. This empirical regularity has potential implications for consumer choice, given that nonlinear functions (e.g., diminishing returns) are commonplace. In two exp...

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Main Authors: Peter D. Lunn, Jason Somerville
Format: Article
Language:English
Published: Cambridge University Press 2019-09-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/18/181126a/jdm181126a.pdf
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author Peter D. Lunn
Jason Somerville
author_facet Peter D. Lunn
Jason Somerville
author_sort Peter D. Lunn
collection DOAJ
description Previous research in multiple judgment domains has found that nonlinear functions are typically processed less accurately than linear ones. This empirical regularity has potential implications for consumer choice, given that nonlinear functions (e.g., diminishing returns) are commonplace. In two experimental studies we measured precision and bias in consumers' ability to identify surpluses when returns to product attributes were nonlinear. We hypothesized that nonlinear functions would reduce precision and induce bias toward linearization of nonlinear relationships. Neither hypothesis was supported for monotonic nonlinearities. However, precision was greatly reduced for products with nonmonotonic attributes. Moreover, assessments of surplus were systematically and strongly biased, regardless of the shape of returns and despite feedback and incentives. The findings imply that consumers use a flexible but coarse mechanism to compare attributes against prices, with implications for the prevalence of costly mistakes.
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spelling doaj.art-2b0db9af590448369aad4d77e1d18bff2023-09-02T16:56:32ZengCambridge University PressJudgment and Decision Making1930-29752019-09-0116511861220Consumers' ability to identify a surplus when returns to attributes are nonlinearPeter D. LunnJason SomervillePrevious research in multiple judgment domains has found that nonlinear functions are typically processed less accurately than linear ones. This empirical regularity has potential implications for consumer choice, given that nonlinear functions (e.g., diminishing returns) are commonplace. In two experimental studies we measured precision and bias in consumers' ability to identify surpluses when returns to product attributes were nonlinear. We hypothesized that nonlinear functions would reduce precision and induce bias toward linearization of nonlinear relationships. Neither hypothesis was supported for monotonic nonlinearities. However, precision was greatly reduced for products with nonmonotonic attributes. Moreover, assessments of surplus were systematically and strongly biased, regardless of the shape of returns and despite feedback and incentives. The findings imply that consumers use a flexible but coarse mechanism to compare attributes against prices, with implications for the prevalence of costly mistakes.http://journal.sjdm.org/18/181126a/jdm181126a.pdfconsumer choice function learning multiattribute decision making nonlinear returnsnakeywords
spellingShingle Peter D. Lunn
Jason Somerville
Consumers' ability to identify a surplus when returns to attributes are nonlinear
Judgment and Decision Making
consumer choice
function learning
multiattribute decision making
nonlinear returnsnakeywords
title Consumers' ability to identify a surplus when returns to attributes are nonlinear
title_full Consumers' ability to identify a surplus when returns to attributes are nonlinear
title_fullStr Consumers' ability to identify a surplus when returns to attributes are nonlinear
title_full_unstemmed Consumers' ability to identify a surplus when returns to attributes are nonlinear
title_short Consumers' ability to identify a surplus when returns to attributes are nonlinear
title_sort consumers ability to identify a surplus when returns to attributes are nonlinear
topic consumer choice
function learning
multiattribute decision making
nonlinear returnsnakeywords
url http://journal.sjdm.org/18/181126a/jdm181126a.pdf
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