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Erschienen in: Journal of Business Ethics 3/2013

01.05.2013

Whether and to What Extent Consumers Demand Fair Pricing Behavior for Its Own Sake

verfasst von: Adam Nguyen, Juan Meng

Erschienen in: Journal of Business Ethics | Ausgabe 3/2013

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Abstract

This article contributes to scholarly understanding of the significance of procedural fairness in pricing contexts. It has been widely recognized that price fairness judgments concern both the outcome (fair price) and the procedure leading to the outcome (fair pricing). However, extant research has traditionally viewed procedural fairness as a means to outcome fairness. According to this instrumental view, procedural fairness is a component or antecedent of outcome fairness, but has no direct effects on consumers’ responses to prices. Building on the relational perspective on fairness, we develop and test a model of price procedural fairness as an end in itself. In three lab studies, we show that (1) when information regarding outcome (an unfavorable price difference) and procedure (the pricing practice underlying the price difference) is available simultaneously and unambiguously, procedural fairness has direct and stronger effects than outcome fairness on consumers’ responses and (2) procedural fairness mediates the effects of pricing practices on these responses. In all three studies, adding procedural fairness as a direct predictor of consumers’ responses increases the explanatory power of a model of price fairness significantly. Our model can explain peculiar real-world cases in which consumers reacted very strongly over relatively small price differences. The research findings point to the significance of the non-instrumental aspect of consumer’s demand for ethical (fair pricing) behavior and the need for companies to assess the fairness of their pricing practices from the consumer perspective.

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Fußnoten
1
According to fairness heuristic theory, fairness judgments are formed hurriedly, with the first relevant information exercising the greatest influence; in the terminology of social psychology, fairness judgments show primacy effects (Lind 2001).
 
2
Also according to fairness heuristic theory, when information regarding outcome or procedural fairness is ambiguous or incomplete, information regarding the other type of fairness will become more important as a substitute; this is labeled substitutability effects (Lind 2001).
 
3
This is applicable to individualist countries such as the US. In collectivist countries such as China, friendship may be considered a relevant input.
 
4
There are pricing practices that are more ambiguous. For example, consider price differentiation based on time of purchase. This pricing practice appears to adhere to the rule of equity. A consumer who has to pay more for a hotel room at short notice will likely think: “I deserve to pay more since I waited for too long to make the purchase” (Grewal et al. 2004). But this practice violates a prevailing norm against dynamic pricing (Garbarino and Maxwell 2010). Relative to the pricing practices used in our study, pricing practices such as this are more difficult to interpret, because the interpretation task involves dealing with conflicting perspectives (Van den Bos et al. 1998). An extended design that includes ambiguous pricing practices would allow a test of the significance of procedural fairness versus outcome fairness as a function of the ease of interpretation of information regarding outcome versus procedure. While such a test is beyond the scope of the current research, it represents an interesting opportunity for future research. We thank an anonymous reviewer for raising this important issue.
 
5
The reader might wonder why ANOVA rather than a t test would be used here. When there are only two means to compare, the t test and the ANOVA F test are equivalent; the relation between ANOVA and t test is given by F = t 2 (Daniel and Terrell 1985). Since we would need to use ANOVA for the manipulation check of price difference in Study 2 (Study 2 has three levels of price difference), we used ANOVA here for easy comparison of the strength of the manipulation of price difference across studies.
 
6
According to Preacher and Hayes (2004), the direct tests of an indirect effect can also be used as stand-alone tests. We used these direct tests this way in the manipulation checks. To test H3, we performed a full mediation analysis that also included the Baron and Kenny’s tests.
 
7
Preacher and Hayes (2004) noted that a number of contemporary analysts now suggest that this step is not required.
 
8
One might also wish to assess whether the manipulation of outcome (price difference) was as strong as that of procedure (preferential pricing). Prior research has pointed to the need for the manipulation of both outcome and procedural elements to be sufficiently strong, such that both outcome and procedural fairness effects are given a fair chance (Van den Bos et al. 1998). However, it is not possible to assess quantitatively whether the manipulations of an outcome and a procedural element are equally strong, because outcome and procedure differ qualitatively. We are not aware of any prior attempt in this regard. Given the extremely strong manipulation of price difference in Study 2, it is safe to infer that in this study the manipulation of outcome was sufficiently strong relative to that of procedure, such that outcome fairness effects were given a fair chance.
 
9
For brevity, the results are not shown here.
 
10
For brevity, the results are not shown here.
 
11
For brevity, the results are not shown here.
 
12
Following prior research (Folger and Konovsky 1989; Lind and Tyler 1988; Tyler 1994), we focus on the main effects of procedural and outcome fairness, and thus do not have hypotheses regarding potential procedural fairness–outcome fairness interaction effects. To gain an idea of the potential added value of including the interaction effects in our model of price fairness, in the above hierarchical multiple regressions we included a third model with the two predictors plus an interaction term (the interaction model). The improvements in (adjusted) R 2 of the interaction model over the two-predictor model ranged from −1.2 to 9.1 %, which were either insignificant or very small relative to the improvements in (adjusted) R 2 of the two-predictor over the one-predictor model (from 38 to 486 %). This suggests that in our studies, the interaction model added little beyond the amount of variance that the two-predictor model explained.
 
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Metadaten
Titel
Whether and to What Extent Consumers Demand Fair Pricing Behavior for Its Own Sake
verfasst von
Adam Nguyen
Juan Meng
Publikationsdatum
01.05.2013
Verlag
Springer Netherlands
Erschienen in
Journal of Business Ethics / Ausgabe 3/2013
Print ISSN: 0167-4544
Elektronische ISSN: 1573-0697
DOI
https://doi.org/10.1007/s10551-012-1340-4

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