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According to construal level theory, close (versus far) psychological distance is associated with low (versus high) construal level. Despite the evidence for discount frame effect, it is unclear whether psychological distance and product nature play moderating roles. In addition, little has been known whether the effect of discount frame can extend to other dependent variables such as willingness to pay (WTP). Driven by construal level theory, five experiments were conducted to explore whether the effect of discount frame is dependent on psychological distance and product nature (i.e. utilitarian versus hedonic product).

The experimental method was used, with discount frame, psychological distance and product type as the independent variables and purchase intention, attitude towards the advertisement, perceived value and WTP as the dependent variables. Participants were presented with promotion scenarios in which psychological distance and discount format were manipulated. In order to test the generalizability of results, promotional scenarios for both utilitarian (i.e. backpack bag and shampoo) and hedonic products (i.e. scenery ticket and perfume) were presented. Data were collected via the online experiment platform (i.e. www.Credamo.com).

The authors found an interaction between discount frame and spatial distance in that consumers had more positive attitude toward percent off than amount off under near-spatial distance. However, no interaction was observed between discount frame and temporal, social or hypothetical distance.

Taken together, the current study for the first time reveals that the effect of discount frame is contingent on a specific dimension of psychological distance (i.e. spatial distance), regardless of whether the product is utilitarian or hedonic. Findings from this study for the first time pose a challenge to the notion that construal-level match necessarily leads to more favorable consumer responses, suggesting that there may be a unique mechanism underlying the joint effects of spatial distance and discount frame. The current findings can provide important implications for marketers and retailers in an effort to design effective promotional messages.

Studies on optimal discount levels have sometimes yielded contradictory results, leaving practitioners with unclear direction. This paper proposes clarifying the optimum discount levels.

This study asked 453 consumers to choose their own optimal discount levels (from 0‐80 percent) for eight product categories across two distribution channels (physical store and online merchant). Then they were asked if the reason if they did not always select the deepest discount.

Only 13 percent selected the 80 percent discount level for each product and each channel, despite seeing the exact price they would pay at each level. In support of attribution theory, 88 percent of the consumers attributed at least one cause for the deepest discounts. Most frequently cited were concerns about quality problems, damaged goods, or stolen goods. Consumers also opted for lower discount levels from the online merchant than from the physical store. There was a wide divergence by product category, with consumers selecting smaller discounts on tires and cereal and the deepest discounts on shirts.

Given the divergence across product categories, it is unknown how consumers would respond to categories not studied.

This paper has revealed strong consumer perceptions about discount risks and the tradeoffs consumer make between risk and financial benefit across different product categories, both online and off – which can help marketing practitioners in setting discount levels.

By allowing consumers to select their own preferred discount levels, it is shown that most customers attribute some risk to them.

This study examines whether the absolute number heuristic holds for consumers' responses to higher-priced versus lower-priced products. Further, it explores whether the different construal level as induced from presence or absence of a product image can be a boundary condition for the absolute number heuristic.

Four experiments were conducted. In Experiments 1 and 2, participants were presented with a discount either in the amount off or percent off format, for products whose prices were 99 Yuan, 100 Yuan and 101 Yuan, respectively. In Experiment 3, the prices were changed to be 90 Yuan, 900 Yuan and 9,000 Yuan, respectively. In Experiment 4, the prices were 48 Yuan and 480 Yuan, respectively.

Experiment 1 showed neither main effect of discount frame nor interaction between price level and discount frame for all dependent variables (i.e. willingness to pay or WTP, purchase intention, attitude and perceived value), thus posing a challenge to the absolute number heuristic. Notably, the lack of main effect and interaction for purchase intention, attitude and perceived value were replicated in Experiments 2, 3 and 4. With WTP being the dependent variable, however, Experiment 4 showed that the effect of discount frame was dependent on price level.

The current findings pose a challenge to the absolute number heuristic and contribute to the literature by revealing that the joint effects of price level and discount frame can be moderated by whether an ad contains the product image.

It is necessary for marketers to realize that inclusion of a product image may eliminate the effect of discount frame. Specifically, in terms of promoting a relatively expensive product, in order for the percent off discount to enhance the amount of money that consumers are willing to pay, an ad without a product image may be more favorable.

The current study is the first to challenge the absolute number heuristic by showing that the interaction between price level and discount frame is contingent on whether an ad contains the product image.

The purpose of this study is to investigate the effects of price discount frames and price discount levels on consumer perceptions about the quality of the service product, the value of the discount, their purchase intentions and their willingness to spread the word of mouth about the discount savings across different types of services.

The study uses an experiment design method using three interesting variables: discount format, discount level and service industry type. The experiment included four different types of low‐end price service levels: restaurants, hotels, mailing services, and retail services.

The findings indicate that price discount frames and discount levels do affect consumers' perceptions on the value of the discount, the quality of the service, their intention to purchase and their willingness to engage in WOM advertising.

The practical implication for service firms that want to use price discount promotions to encourage sales and increase revenue is that they should carefully consider the price range and the value or quality of image they intend to signal when using these different price discount frames and the service they are selling to determine the discount level to use.

This paper is valuable to low‐end service marketers that seek to use price discount promotions to encourage sales and increase revenue.

The study aims to investigate customers' emotional and behavioral responses to price promotion in omnichannel retailing through the integration of the expectancy-disconfirmation theory, feelings-as-information-theory and regret regulation theory.

An online survey was designed in Qualtrics and distributed by an online survey to collect data from 786 (main study) and 150 (a follow-up study) customers from the USA. The participants were randomly assigned to different scenarios related to the need to purchase a toothbrush, laptop or health supplement. After the first purchase, the participants received a discount on the same product that has just been purchased. The discount can be used at an online store or a physical store. The three levels of price promotion after the purchase were 10% (low), 25% (moderate) and 50% (high).

The study found that consumers are likely to feel more surprised and less discontented when being offered a higher discount. The emotions further significantly impact their anticipated regret. Further, different discount levels influence patronage intention and omnichannel usage via emotional responses and anticipated regret. These relationships are moderated by product involvement.

The study extends knowledge of price promotion and provides insights that can assist retailers in increasing the effectiveness of their sales promotion strategy. Addressing the lacuna in the current literature, which predominantly focuses on the cost and benefits analysis of sales promotion, the study revealed that cross-channel price promotion results in consumers' sophisticated emotional responses.

This paper aims to present a model linking price promotions to checkout donations. It is argued that price promotions evoke two perceptions/emotions, namely, feelings of gratitude and perceived sacrifice of purchase, which consequently, influence the likelihood to donate. Feelings of gratitude dominate when the discount is high, while feelings of sacrifice dominate when the discount is low. Compared to no-discount situations, high discounts enhance consumers’ intention to donate while low discounts reduce this intention.

A total of four studies using shopping scenarios are conducted. Study 1 examines the main effect and the mediating factors. Study 2 replicates the findings in different product categories and at different unit-price levels. Studies 3 and 4 test the moderating effects of customer effort and discount framing.

Findings of the four studies provide support for the proposed model. Compared to no-discount situations, high discounts enhance consumers’ intention to donate, while low discounts reduce this intention. The effects are mediated by feelings of gratitude and sacrifice and moderated by effort obtaining the discount and format of the discount.

Theoretically, this research advances the understanding of consumers’ interpretations of price promotions. All studies are conducted in an online context.

This research informs retailers and charity institutions on the best timing for soliciting checkout donations and indicates specific tactics to enhance consumers’ donations.

This is the first study linking price discounts to the growing phenomenon of checkout donations. The research is different from cause marketing where the donation is included in the price of a specific product. The work also differs from studies examining the spillover effect where additional purchases benefit the consumers instead of a cause.

This study examines the long-term link between fair valuation uncertainty and discounts/premia in closed-end funds. This study argues that, in exploring the close-end funds puzzle, prior research generally omits to consider the uncertainty surrounding the measurement of funds' financial disclosure, as reflected in the fair value hierarchy, when investment specialty differs across funds.

Regressions were employed to explore how the fair value hierarchy affects closed-end funds' discounts/premia when investment specialty differs. The authors also examine the effects pre- and post-2012 to explore if that relationship changes due to the additional disclosure requirements enacted at the end of 2011.

The authors find that the three levels of the fair value hierarchy have effects that vary according to a fund's specialty. For equity specialized funds, Level 3 significantly increases discounts and decreases premia, suggesting the impact of valuation uncertainty that underlies Level 3 estimates; this relationship disappears (decreases in severity) for premia (discount) experiencing funds post-2012. In contrast, Level 1 and Level 2 do not have any significant effect on discounts or premia except that post-2012, Level 2 begins to display discount decreasing effects. For bond specialized funds, no significant association was noted between premia and any of the fair value levels except that post-2012, Level 3 begins to display premium increasing effects. However, results are different for discounts. The authors note that Level 1 valuations significantly increase discounts, but only post-2012; Level 2 valuations significantly decrease discounts (pre- and post-2012), consistent with such estimates incorporating unique and relevant information; and Level 3 valuations do not have a significant effect on discounts.

The results of this study revisit prior evidence and indicate that results about the effects of fair value measurement and the closed-end funds' puzzle are sensitive to the period length being considered and the investment specialty of the fund. The authors also note that additional disclosure regarding Level 3 valuation inputs decreases market concern for valuation uncertainty and increases the liquidity benefits of investing in Level 3 carrying funds.

In this article we analyze price discounts and fixed price offers in terms of their comparative impact on consumer valuation of products. Using a model of consumer valuation, we explore the interaction between the negative quality effect and the positive monetary sacrifice effect associated with price discounts. This model suggests that intermediate levels of price discounts will be more desirable than a fixed price offer. However, a fixed price offer may be more desirable than both high and low levels of price discounts. The results from an experiment conducted to test this model showed support for the predictions from the model.

This study aims to integrate price consciousness into the promotional effectiveness framework. Specifically, it aims to analyse whether price consciousness affects the evaluation of price discounts and premiums at two different benefit levels (moderate vs high).

An experiment was conducted with two promotional benefit level (moderate, high) × two promotion type (price discount, premium) between subjects design. A sample of 229 undergraduate students was randomly assigned to a specific product‐promotion combination.

The results obtained indicate that at moderate benefit level, price discounts and premiums are equally effective for high price conscious consumers. However, price discounts are more effective than premiums for low price conscious consumers. At high benefit level price discounts are more effective than premiums, but this effect is more apparent for high price conscious consumers.

The limitations of the study are those typically applied to the experimental methodology. Specifically, only two product categories and two types of sales promotions were used which limits the generalization of the results. Another potential limitation is the use of students' respondents.

It is recommended that managers should know how price conscious their consumer segment is before taking any decisions regarding the promotional strategy. To be more effective, it is recommended to offer premiums instead of moderate price discounts if the target segment is high price conscious. However, such a recommendation should only be followed when the target is not low price conscious, because for this consumer segment a moderate discount is preferred.

To analyze the effectiveness of a promotion, most of the present research has focused on the benefit provided, and the promotional framework used. However, lacking in this research are insights into how consumer personal characteristics may affect that effectiveness. The current research is to fill this gap in knowledge about consumer responses to sales promotions incorporating price consciousness in the analysis.

The purpose of this paper is to examine how consumers respond differently to “scratch and save (SAS)” promotions versus “tensile price claims (TPC).” SAS promotions provide a possible discount (determined probabilistically) but conceal the exact amount until purchase. Tensile price claims (e.g. “up to 25 percent off on items marked with a red tag”) make imprecise price promotional claims. In addition to making indefinite price claims, SAS promotions (e.g. scratch and save up to 25 percent off) include gambling elements; the exact discount is determined randomly for individual consumers by a scratch‐off card.

Two experimental studies are conducted.

Evidence from two experiments indicates that consumers perceive SAS promotions to be more ambiguous than tensile price claims. In addition, the results demonstrate consumer uncertainty towards SAS promotions but also consumer willingness to gamble: deep discount SAS promotions are perceived as more attractive than limited‐scope tensile price claims.

The findings suggest that consumers perceive SAS offers more enticing than limited tensile price claims as the proposed discount increases. Furthermore, establishing a minimum savings offer could be used to encourage consumers to shop at retailers offering SAS promotions.

Limited work has focused on examining how consumers respond to SAS promotions because SAS promotions are a relatively new store‐level promotional tool. Furthermore, no research effort has been extended to directly compare consumers' perceptions of SAS promotions with tensile price claims.