
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.
| 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). | 27 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
