2015
DOI: 10.1108/jpbm-01-2015-0802
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Peak-end pizza: prices delay evaluations of quality

Abstract: Purpose The purpose of this paper is to determine if the level of payment required for consumption changed the relationship between a consumer’s overall evaluation of a hedonic consumption experience and the evaluation of first, middle, last piece and peak consumption experiences. Design/methodology/approach Diners at an all-you-can-eat restaurant were either charged $4 or $8 for an Italian lunch buffet. Their taste, satisfaction and enjoyment evaluation of each piece of pizza they had was taken along with o… Show more

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Cited by 15 publications
(5 citation statements)
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“…A recent critique by van der Zee, Anaya, and Brown () finds several inconsistencies in the analysis of this article along with other papers concurrently published using this data (Just, Siğirci, & Wansink, ; Kniffin, Sigirci, & Wansink, ; Siğirci & Wansink, ). We take replication of our research results very seriously.…”
Section: Corrected Demographic Characteristics and Potential Utility mentioning
confidence: 77%
“…A recent critique by van der Zee, Anaya, and Brown () finds several inconsistencies in the analysis of this article along with other papers concurrently published using this data (Just, Siğirci, & Wansink, ; Kniffin, Sigirci, & Wansink, ; Siğirci & Wansink, ). We take replication of our research results very seriously.…”
Section: Corrected Demographic Characteristics and Potential Utility mentioning
confidence: 77%
“…This study used the peak-end rule and CJM to design an experiment of tea brewing to explore user needs. According to the peak-end rule, customers do not evaluate an overall experience in terms of a comprehensive perception of the experience [23]; instead, their overall satisfaction depends on positive peak experiences [24]. The immediate feeling of customers at the end of the service greatly affects their evaluation of the overall experience [25].…”
Section: Research Methodology For the Tea Brewing Experimentsmentioning
confidence: 99%
“…We reanalyzed four articles by Özge Sigirci, Brian Wansink, and their colleagues, which appear to be based on a single data set from one field experiment [11][12][13][14]. We will refer to these articles with the following numbering:…”
Section: The Articles In Questionmentioning
confidence: 99%