Extending the price–quality–value model (Monroe and Krishnan in The perception of merchandise and store quality 209–232, 1985) and means-end model (Zeithaml in J Mark 52:2–22, 1988), we developed a conceptual model to investigate the mediating role of price discount affect (feeling aroused by price discounts) in the relationship between price discounts and consumers’ perceptions (perceived savings, quality, and value) and in the relationship between perceived value and purchase intentions in the context of online apparel products. A between-subject experimental design with four levels of price discounts (10, 30, 50, and 70%) was used. Jeans were selected as the product stimulus. Web pages were developed to create a fictional online store and to collect data. A total of 209 usable responses were collected by a research firm in the United States, and structural equation modeling was performed to analyze the data. The results showed that price discount affect played an important mediating role in the relationship between price discounts and consumers’ perceptions. When the direct effect of price discounts on perceived quality was examined, consumers perceived the apparel product with higher discounts as lower quality (i.e., a negative direct relationship). However, when price discount affect served as a mediator, the feelings created by a price discount led to a positive perception of product quality (i.e., a positive indirect relationship). By considering the influence of price discount affect, our model provides a better understanding of the effect of price discounts on consumers’ perceptions of apparel products.

Purpose: Retailers are known to present tensile price claims (TPCs) stating high discounts to entice shoppers. Prior research on TPCs suggests that high TPC discounts increase purchase intentions. However, the current study proposes, first, that the TPC discount shifts expected price discount (EPD) and, second, that the gap between the actual price discount and the EPD influence perceptions of the discount deal. Support for these propositions would suggest that high TPC discounts will only be effective when they closely match the actual price discount. Therefore, the purpose of this paper was to evaluate the effectiveness of exaggerated maximum-discount TPCs. Design/methodology/approach: Two experiments were used. Study 1 investigated the effect of exposure to a TPC on EPD. Study 2 examined discount discrepancy as a mediator of the relationship between a TPC and consumer perceptions (i.e. perceived savings and price fairness) and purchase intentions. PROCESS and ANOVA were used for the analysis. Findings: This research showed that exposure to a TPC influenced consumers’ EPDs. As TPC discount increased, EPD increased and the discount discrepancy (i.e. actual price discount minus EPD) decreased (and, in some cases, became negative). The discount discrepancy influenced consumer perceptions of savings and fairness, as well as purchase intentions. Consequently, when the actual price discount encountered was not as large as the advertised TPC discount, the results showed a negative, indirect influence of exaggerated maximum-discount TPCs on consumers’ discount perceptions, mediated by the discount discrepancy. Originality/value: Previous TPC studies found that the size of the TPC discount positively influences consumers’ discount perceptions, implying that larger discounts are more effective. However, this approach does not take into consideration the notion that larger TPC discounts increase consumer expectations about the size of discount and these expectations are used as a frame to evaluate a discount deal. The findings of the current research show a negative, indirect influence of exaggerated TPC discount on consumer perceptions and purchase intentions through discount discrepancy. Therefore, this study provides a new perspective to explain the influence of TPC discount size on consumer perceptions.

The rapid expansion of the non-fungible token (NFT) market, which grew over 200% in 2023 to reach $22 billion, has opened new avenues for fashion brands to engage consumers through digital fashion products under blockchain technology. This study investigated the effects of NFT promotional bundles that combine physical and NFT fashion items as a pair on consumer perceptions. By investigating the interaction effect between the brand type (luxury vs. non-luxury) and promotional bundle types (PHY+free NFT vs. NFT+free PHY), the research demonstrated how these bundles influenced consumers’ perceived value, risk, and authenticity according to the brand type. The findings showed that while a freebie physical item can enhance consumers’ perceived value of NFT products for non-luxury brands, it led to value-discounting inferences, particularly for luxury brands. This study contributes to the literature on NFT fashion by exploring consumer perceptions and providing insights for fashion retailers on effectively framing promotional bundles to maximize consumer engagement for NFT fashion products.