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The purpose of this paper is to analyze the effect of exposure to prosocial media content (PMC) on the subsequent intention to donate to a prosocial cause of a rejected group versus a prosocial cause of a neutral group. The hypothesis, supported in two experimental studies, is that for the individual exposed to a PMC, the difference in the donations for social causes of a rejected group and a neutral group is smaller than for the individual exposed to a non-PMC.

Two between-subjects experimental studies were performed. In both studies, the individual’s emotional responses were manipulated through PMC (conditions: prosocial versus non-prosocial). Then, respondents were asked to split a fixed amount of money between two social actions whose beneficiaries were members of a rejected group versus members of a neutral group.

It was found that the difference in donation between the two actions associated with different types of beneficiaries (i.e. rejected group vs neutral group) was smaller for the individuals exposed to PMC than for individuals exposed to non-PMC.

In this research, the donating behavior was operationalized by a simulated donation and not by a real donation.

Results suggest that PMC on the internet could be effective in reducing rejection for stigmatized dissociation groups for which it is difficult to get help.

The results suggest that exposure to PMC on the internet can increase donations for rejected groups. The confirmation of the PMC effect on reducing negative outcomes opens the possibility to diminish negativity toward stigmatized groups.

Theoretically, the explanations are based on the social comparison theory.

This paper aims to clarify the effect of discount discrepancy (DD) on consumers’ purchase intention (PI). The authors propose, test and provide evidence and explanations about the moderation of justification in the relation between consumers’ perceived DD and PI.

The authors conducted three experimental studies with a 2 × 2 factorial design, focusing on consumers’ processing of price discounts. Participants were informed that this study aimed to gather opinions on fashion, clothing and retail sales promotions. They accessed the questionnaire via Qualtrics. Each participant took part in only one study. The experimental conditions were manipulated through scenarios.

Study 1 tested and supported the moderation of justification on the effect of DD on PI. Study 2 tested and supported the moderation of the type of justification for the effect of DD on PI. Study 3 confirmed the findings in Study 2 and revealed the more effective type of justification.

The authors focused on a typically hedonic product category (fashion clothing). Further research should include a wider variety of goods and services, which could lead to different explanations or generalizations.

Sales promotions must refrain from generating DD between the initial price discount and the subsequent smaller discounts. Practitioners must evaluate the gains of an initial, more considerable percentage discount to attract consumers to the store and sell them other products versus the cost of losing sales because of DD. Management should recognize the importance of giving the correct justification for perceived DD, aligning the firm’s justification with the consumer’s motivation to buy the product.

The authors offer subsidies for effective consumer protection policies.

By studying the influence of justification on the effect of DD on PI, the authors propose a mechanism that would reduce the negative effect of DD on consumers’ PI.

The intention-behavior gap that occurs when one’s actions do not align with their intentions has been the topic of interest of many researchers. However, the effects of the various constructs that influence the intention-behavior gap in service failure and recovery remain under-explored to date. To fill this gap, this study aims to examine the relationship between switching intention (i.e. intention) and customer exit (i.e. behavior) and the moderating roles of failure severity and service recovery satisfaction.

To test the proposed hypotheses, the authors used a longitudinal panel involving 821 customers who actually experienced a service failure and recovery in 38 fitness centers in Brazil. The data analysis is composed of logistic regression and cross-tabulation.

The results confirmed the significant role of switching intention on customer exit and the moderating effect of failure severity (but not service recovery satisfaction) in the relationship between switching intention and customer exit. Most of all, switching intention had low explanatory power for customer exit, confirming the presence of the intention-behavior gap. The authors further identified a weaker presence of the intention-behavior gap for female (vs male) customers and for those who experienced process failure (vs outcome failure).

Although the authors confirmed the intention-behavior gap, the biggest proportion of the variance remains unexplained. Thus, it is important to explore the roles of other possible drivers, moderators and mediators.

As switching intention is not a strong predictor of customer exit, managers should not assume that those who appear to be on the verge of switching will immediately exit the service provider.

As researchers question the explanatory power of intention for actual behavior, this paper confirms that there is an intention-behavior gap in service failure and recovery. Moreover, given that most researchers have focused on the positive outcomes of service recovery efforts, such as customer loyalty and commitment, studying negative outcomes, including switching intention and customer exit, is a key contribution of this research.