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https://dx.doi.org/10.7916/d8t...
Other literature type . 2015
Data sources: Datacite
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Persistence in Consumer Search

Authors: Reinholtz, Nicholas Stephen;

Persistence in Consumer Search

Abstract

In this dissertation, I explore determinants, and some consequences, of persistence in consumer search. Many prominent thinkers have considered the problem of search in terms of optimal solutions, or their heuristic approximations. In the following research, I explore persistence in search not merely as a function of economic calibration, but rather as an outcome determined by both cognitive and motivational processes. I provide evidence that normative models of search are insufficient to explain the behavior of those whom I study. Instead, I show cases in which search persistence is a function of prior behavior (Chapter 1) and prior beliefs (Chapter 2). I further propose a cognitive model of price search behavior (Chapter 3) that can predict many of the observed behaviors that would be considered mistakes in normative price search frameworks (e.g., variance neglect, reference point effects, local contrast effects).

Country
United States
Keywords

Marketing, FOS: Economics and business, Experimental, Searching behavior, 330, Psychology, Experimental, Psychology, Consumer behavior--Psychological aspects

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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!
0
Average
Average
Average
Green