Overinflated Expectations From Maximizing With Unreliable Information
Maximizers use various ways to strive for the best outcome, such as making selections from a larger assortment size. However, when information is unreliable (vs. reliable), a larger (vs. smaller) assortment size brings less satisfaction with one’s choice because heightened expectations of outcomes lead to greater expectancy disconfirmations.
Citation:
Edward Yuhang Lai, Mario Pandelaere, and Daniel Villanova (2021) ,"Overinflated Expectations From Maximizing With Unreliable Information", in NA - Advances in Consumer Research Volume 49, eds. Tonya Williams Bradford, Anat Keinan, and Matthew Matthew Thomson, Duluth, MN : Association for Consumer Research, Pages: 911-911.
Authors
Edward Yuhang Lai, Virginia Tech
Mario Pandelaere, Virginia Tech
Daniel Villanova, University of Arkansas
Volume
NA - Advances in Consumer Research Volume 49 | 2021
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