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Electronic Commerce Research
Erschienen in: Electronic Commerce Research 2/2023

09.06.2021

Personal antecedents of perceived deceptive pricing in online retailing: the moderating role of price inequality

verfasst von: Isabel P. Riquelme, Sergio Román

Erschienen in: Electronic Commerce Research | Ausgabe 2/2023

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Abstract

This research examines the personality, cognitive and emotional antecedents of deceptive price perceptions that occur in price inequalities. We draw on appraisal theories to examine the extent to which these relationships are different depending on two situations: consumers who are exposed to an advantaged situation (lower price) and those exposed to a disadvantaged situation (higher price). Data from 994 individuals in the online hotel booking context show that the direction of the price inequality significantly influences the way in which both personality and the attributional–emotional process affect perceptions of deceptive pricing. Our findings provide a better understanding of this subjective, complex, but also increasingly prevalent phenomena of price inequality and perceived deceptive pricing in online retailing. Implications for theory and management are discussed.
Vorheriger Artikel Why do peer-to-peer (P2P) lending platforms fail? The gap between P2P lenders' preferences and the platforms’ intentions
Nächster Artikel A study of cognitive effort involved in the framing effect of summary descriptions of online product reviews for search vs. experience products

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Fußnoten
1
Given their complexity, definitions of the variables under study are provided in “Appendix 2”.
 
2
Data was obtained from a Netquest panel. Netquest is a tech-driven company built on a robust and engaged panel and a strict quality standard (ISO 26362 and ISO 20252). Netquest is a member of ESOMAR, and thus is required to comply with the General Data Protection (GDPR) when processing personal data in the context of its services and operations. Netquest provides strong quality data sets from panelists who remain anonymous to Netquest’s clients. Also, Netquest conducts several controls on quality of the data such as time used to complete the survey (to detect “speeders”) or incorrect answers on trick questions (checkout questions) during the survey to detect if panelists are paying attention to the questions.
 
3
Sample size (overall and relative to our both subsamples) meets Westland’s (2010) recommendation [84] for a given number of latent factors and observed variables in a SEM model: for 19 observed variables and 6 latent factors that comprise our research model, and assuming the most restrictive or conservative parameter values (anticipated effect size of 0.2 and statistical power level of 0.8) [18], the recommended minimum sample size to detect the effect is 403, and for the model structure is 177 (https://​www.​danielsoper.​com/​statcalc/​calculator.​aspx?​id=​89), so our samples sizes largely exceed these minimum values.
 
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Metadaten
Titel
Personal antecedents of perceived deceptive pricing in online retailing: the moderating role of price inequality
verfasst von
Isabel P. Riquelme
Sergio Román
Publikationsdatum
09.06.2021
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 2/2023
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-021-09490-z

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