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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Marketing Lettersarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Marketing Letters
Article . 2017 . Peer-reviewed
License: Springer TDM
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If it has lots of bells and whistles, it must be the best: how maximizers and satisficers evaluate feature-rich versus feature-poor products

Authors: Daniel C. Brannon; Brandon W. Soltwisch;

If it has lots of bells and whistles, it must be the best: how maximizers and satisficers evaluate feature-rich versus feature-poor products

Abstract

Past studies have largely focused on how maximizers versus satisficers choose among multiple products within a given consideration set. By contrast, our research focuses on how and why maximizers evaluate an individual product based on a salient characteristic—the number of features that it has. Across two studies, we find that maximizers evaluate products more favorably than satisficers when they have many features (i.e., they are “feature-rich”), but not when they have few features (i.e., they are “feature-poor”). Further, we outline the process underlying this effect: Maximizers are more likely than satisficers to perceive feature-rich (vs. feature-poor) products as a means of signaling status to others. We additionally identify a boundary condition supporting this proposed theoretical process. Specifically, we demonstrate that when maximizers no longer perceive feature-rich products as status signals, they do not evaluate them more favorably than satisficers.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Average
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