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This study aims to verify the antecedents influencing mobile gamers’ intentions to purchase mobile phones. To this end, the constructs price–quality relationship, price sensitivity, perceived quality, identification with the group of gamers and referrals from other gamers were identified in the literature.

Data were collected through an online questionnaire with 335 consumers. The model was tested using partial least squares.

It was verified that the price–quality relationship directly influences mobile gamers' intentions to purchase mobile phones. Also, it was observed that price sensitivity of mobile gamers directly influences the price–quality relationship and indirectly influences the intention to purchase mobile phones to play games. It was further verified that this price sensitivity is directly influenced by the perceived quality of mobile gaming devices. Finally, it was observed that referrals from other gamers directly influences the perceived quality and onès identification with the group of gamers.

This study concluded that developing strategies focused on prices of mobile phones gamers use to play games tends to influence mobile gamers' purchase intentions. This paper extends the study of mobile device purchase behavior, uniting constructs studied separately and proposing connections not yet tested, assisting in the theoretical understanding of the factors that contribute to the intention to purchase mobile devices.

This study is theoretically justified for four reasons: it focused on a specific group of consumers, mobile gamers, which is a constantly growing audience; it brought an innovative model, testing the influence of the perceived quality of mobile gaming devices on the price sensitivity of mobile gamers; there are spaces for new research on mobile device purchase intention; and it may assist in the theoretical understanding of the factors contributing to mobile device purchase intention.

Given the intensified competitiveness in the wine retail industry, partnering with quality suppliers becomes critical to ensure a steady supply of high-quality products and sustainable business growth. This study aims to explore how wine supplier quality attributes impact wine retail businesses and if such effects differ depending on wine retail types.

Data were obtained from wine purchasing managers in Korea. To validate the proposed relationships, structural equation modeling was used. A multigroup analysis was conducted to test distinct roles of on/off-premise wine retail types within this research framework.

Results support the significance of supplier quality attributes in shaping the landscape of wine retail businesses. Operational and strategic benefits exhibited a positive effect on both financial performance and suppliers’ relationship satisfaction, thereby improving the intent to continue working with suppliers. This study revealed noteworthy distinctions in the effects of supplier quality attributes on operational and strategic benefits between on-premise and off-premise wine retailers.

Findings provide valuable insights to wine suppliers and buyers concerning the establishment of a mutually beneficial long-term interdependent relationship. The approach sheds light on the unique dynamics of wine retail types, contributing to a more comprehensive understanding of the distinct roles of supplier quality attributes on on-premise and off-premise retailers.

This study developed an integrative framework, emphasizing the importance of supplier quality attributes in the wine retail industry. This model offers valuable insights into creating favorable buyer–supplier relationships that result in mutual benefits for both wine retailers and suppliers.

This study examines the effect of five price perception dimensions (price consciousness, price mavenism, sale proneness, price-quality schema, and prestige sensitivity) on consumer's perceived value (acquisition value, and transaction value), and how perceived value affects consumers' behavioral intentions (purchase intentions, and intentions to recommend). It also examines the moderation role of face consciousness.

A quantitative research methodology using online survey technique is employed to collect cross-cultural data from respondents from China (n = 371) and Egypt (n = 384). Structural equation model (SEM) via SmartPLS v.3.2.9 is conducted to analyze data.

The results show that consumers’ behavioral intentions toward suboptimal fresh produce are positively affected by both dimensions of perceived value. As well as, perceived value is influenced by different price perception dimensions. Moreover, face consciousness partially moderates the relationship between perceived value and behavioral intentions.

To best of the authors’ knowledge, it is the first study to associate price perception dimensions with purchase value dimensions in the context of suboptimal products. It also contributes to utility and purchase value theory by employing the distinct measures of both perceived acquisition value and transaction value, to enable us to obtain a better understanding of the whole picture of perceived value. In addition, it contributes to regulatory focus theory through the inclusion of face consciousness in the purchase value model. Moreover, up to the researchers' knowledge, prior investigation on these issues in Egypt and China as a cross-cultural research does not exist.

The present research aims to identify critical antecedents of willingness to pay (WTP) for traditional bundles (those comprising only goods or services) in an emerging market context. Further, it differentiates the relative importance of the determinants of customers' WTP according to the bundle type.

Data were collected from Indian customers. The paper uses conjoint analysis with an orthogonal design. The experimental conditions were manipulated using vignettes.

The results indicated that purchase autonomy was considered the most important driver for customer's WTP in the case of traditional bundles. Quality variability, overall bundle quality and complementarity followed autonomy in the order of importance. Moreover, the interaction effects of autonomy and complementarity with bundle type significantly influenced the customer's WTP. Customers had a higher WTP for services bundle in high autonomy and goods bundle in high complementarity situations.

Retailers should allow customers to buy either the entire bundle or its components separately, irrespective of the type of traditional bundle. They should try to make bundles whose perceived quality varies significantly in the target customers. Retailers should try to keep complementary components in the goods-only bundle.

The present study extends the relationship of the WTP with its antecedents to traditional bundles. Earlier studies have only studied these relationships for hybrid (combination of goods and services) bundles. With the current study results, retailers can bundle traditional bundles (goods only and services only).

This study aims to examine decision factors for global sourcing, differentiated into transcontinental and continental sourcing to obtain insight into locational aspects of sourcing decisions and global trends. This study analyzed various country perceptions to reveal their influence on sourcing decisions. The country of origin (COO) theory explains why certain country perceptions and images influence purchasing experts in their selection of suppliers.

This study used a two-study approach. In Study 1, the authors conducted discrete choice card experiments with 71 purchasing experts located in Europe and the USA to examine the importance of essential decision factors for global sourcing. Given the clear evidence that location is a factor in sourcing decisions, in Study 2 the authors investigated purchasers’ perceptions and images of countries, adding country ranking experiments on various perceived characteristics such as quality, price and technology.

Study 1 provides evidence that the purchasers’ personal relationship with the supplier plays a decisive role in the supplier selection process. While product quality and location impact sourcing decisions, the attraction of the buying company and cultural barriers are less significant. Interestingly, however, these factors seem as important as price to respondents. This implies that a strong relationship with suppliers and good quality products are essential aspects of a reliable and robust supply chain in the post-COVID-19 era. Examining the locational aspect in detail, Study 2 linked the choice card experiments with country ranking experiments. In this study, the authors found that purchasing experts consider that transcontinental countries such as Japan and China offer significant advantages in terms of price and technology. China has enhanced its quality, which is recognizable in the country ranking experiments. Therefore, decisions on global sourcing are not just based on such high-impact factors as price and availability; country perceptions are also influential. Additionally, the significance of the locational aspect could be linked to certain country images of transcontinental suppliers, as the COO theory describes.

The new approach divides global sourcing into transcontinental and European sourcing to evaluate special decision factors and link these factors to the locational aspect of sourcing decisions. To deepen the clear evidence for the locational aspect and investigate the possible influence of country perceptions, the authors applied the COO theory. This approach enabled authors to show the strong influence of country perception on purchasing departments, which is represented by the locational effect. Hence, the success of transcontinental countries relies not only on factors such as their availability but also on the purchasers’ positive perceptions of these countries in terms of technology and price.

This paper aims to examine how a stereotype threat, which entails being aware of a negative stereotype about one’s social group (e.g. gender), affects consumers’ price perceptions.

The authors conducted four studies to examine the effect of a stereotype threat on consumers’ perceptions of a product’s price–quality relationship.

This study found that being aware of a negative stereotype about one’s social group (i.e. gender here) led consumers to use price more as a quality indicator. This study also determined that reappraisal – an alternative way of coping with stereotype threats – reduced the impact of a stereotype threat and, subsequently, decreased reliance on price to infer quality.

This research contributes to the consumer decision-making literature by examining stereotype threat effect in in-store product purchasing contexts; provides theoretical contributions to the processing of price information by exploring the role of a stereotype threat in price perceptions and revealing that impairment of consumers’ working memory resources affects price perceptions; adds to the existing stereotype threat literature by investigating the effect of a stereotype threat on systematic versus heuristic information processing; and advances the stress and coping literature by suggesting that consumers adopting a reappraisal strategy cope better with a stereotype threat than when opting for a suppression strategy.

This research provides important implications for consumers. For example, the findings suggest that consumers who would like to avoid paying more for stereotype-associated products may adopt reappraisal to cope with a stereotype threat. Reappraisal may allow consumers to use fewer cognitive resources when coping with stereotype threats, thus minimizing the possibility that they might overpay for high-priced products.

This research uniquely examines the effect of a stereotype threat on consumers’ price perceptions and the role of reappraisal in this effect.

The paper aims to understand the role of sensory quality scoring used at the competition auctions on pricing outcomes and how the auction process could be improved to increase sustainability in the specialty coffee market.

The authors build a conceptual model explaining the potential role of sensory quality scoring in generating inequitable outcomes in specialty coffee auctions. The authors' research is exploratory. The authors base the propositions on the findings of the extant literature and our analysis of data from 24 Best of Panama (BOP) Auctions that took place between 2017 and 2021.

A striking feature in recent BOP Auctions is a winner-takes-all (WTA) outcome. The authors also document the presence of significant price inversion. The authors attribute these outcomes to the interactions of information-poor producers, information-rich intermediaries and conspicuous consumers in competition auctions, where the product quality measurement is highly unreliable.

Data need to be gathered more broadly to enable the operationalization of the current propositions into testable hypotheses.

These strategies intend to provide guidelines for producers, consumers and other value chain participants on creating equitable solutions to a thriving industry where a WTA phenomenon occurs.

The current study is the first to argue that existing quality scoring practices, as well as conspicuous consumption, contribute to the inequities. Finally, the study proposes novel interventions to standardize the quality grading protocols and communicate them transparently to both producers and consumers.

This paper aims to study how price and sales level information influence consumer product perceptions and choices in online settings. It, in particular, tests whether displaying sales level information increases consumer price sensitivity, which is a potential strategic risk to retailers.

Study 1 uses eBay data to investigate whether the interaction effects between price and sales level can be observed in an existing market. Study 2 involves online experiments across three product categories. Participants choose from product pairs that are shown with either the same or different prices and with no, the same or different sales levels.

Study 1 shows strong effects of a product’s displayed sales and price level on its daily sales but finds no interaction effect. Study 2 shows strong effects of price and sales levels on product choice but similarly finds no evidence that sales level information influences consumer price sensitivity, although it reveals an effect on quality perceptions. The results show how perceptions of quality, sacrifice and popularity mediate the effects of price and sales level information on product choice.

Study 1 has limited control over prices and sales levels. Study 2 involves only hypothetical choices.

These findings indicate that businesses can use sales level information to manage consumer product quality perceptions and choices without having to be concerned that this will make consumers more price-sensitive.

To the best of the authors’ knowledge, this paper is the first to investigate how sales level information affects consumer responses to price differences in online contexts.

This paper analytically models and numerically investigates two operating levers, namely optimization of product price and optimization of product quality in the context of a manufacturer that sells the products directly in the marketplace. The study attempts to identify how optimizing product quality and product price can fulfill a manufacturer's economic aims such as maximization of the manufacturer's profit and market demand. Anchored to the extant literature, the demand is modeled as a parametric joint multiplicative function of price and quality. Further, price is modeled as a function of product quality.

First, the authors evolve the analytical expression for the manufacturer's profit. Thereafter, following the mathematical principles of unconstrained optimization, the authors arrive at the conditions for optimal product quality and product price. The authors further perform numerical experiments to understand the behavior of economic dimensions such as profit and demand with respect to sensitivities associated with cost, quality and price.

The authors find that under product quality optimization, the optimal product quality is a unique solution in that a highest possible theoretical manufacturer's profit is obtained. However, in the case of product price optimization, the optimal product price is non-unique and is a function of product quality. The authors further find that in the context of functional quality-level expectations, product quality optimization as an operating lever gives a better dividend. However, in the case of higher product quality expectations, product price optimization performs better than product quality optimization. Further, several novel findings are also obtained from numerical experimentations.

The findings of the authors' study have implications for types of industries characterized by relatively low as well as relatively high competitive intensity. Further, as opposed to several extant studies that have often carried out joint optimization of quality and price, the authors' study is one of the first to study the impact of product price and product quality on the manufacturer's economic objective in a disparate and focused manner, thus capturing individual effects.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.