Innovations in Retail Pricing and Promotions

Retailers confront a seemingly impossible dual competitive challenge: grow the top line while also preserving their bottom line. Innovations in pricing and promotion provide considerable opportunities to target customers effectively both offline and online. Retailers also have gained enhanced abilities to measure and improve the effectiveness of their promotions. This article synthesizes recent advances in pricing and promotions findings as they pertain to enhanced targeting, new price and promotion models, and improved effectiveness. It also highlights the role of new enabling technologies and suggests important avenues for further research.     

Low price signal default: an empirical investigation of its consequences

Low-price guarantees (LPG) signal the market position of a seller’s offer price and promise to compensate consumers in case that information is erroneous. In this research, we demonstrate that when retailers default on the information provided by an LPG, consumer perceptions of the retailer suffer, but the extent of the damage depends on the conditions associated with the default. On the basis of attribution theory, we posit that consumers may attribute default to the retailer’s opportunism but emphasize this attribution differently in various default conditions. Furthermore, we show that the restoration of consumer perceptions after a refund depends on consumers’ focus in terms of the signal itself. If they consider the protective, compensatory function of a low price signal, their post-refund outcomes are more favorable; when they focus on the informational function, these outcomes are less favorable. We discuss the theoretical and practical implications of these findings.

Customer Experience Management in Retailing: Understanding the Buying Process

Retailers recognize that greater understanding of customers can enhance customer satisfaction and retail performance. This article seeks to enrich this understanding by providing an overview of existing consumer behavior literature and suggesting that specific elements of consumer behavior—goals, schema, information processing, memory, involvement, attitudes, affective processing, atmospherics, and consumer attributions and choices—play important roles during various stages of the consumer decision process. The authors suggest ways in which retailers can leverage this understanding of consumer behavior. Each of these conceptual areas also offers avenues for further research.     

International industrial buyer behavior: An exploration and a proposed model

A large proportion of world’s trade revolves around a long list of industrial products which are pruchased by industrial buyers. Although it has been suggested that the impact of culture on international markets is more predominant in the consumer goods than industrial goods (Keegan 1984), little has been done in terms of understanding other variables besides culture that effect the international industrial buyer and his/her behavior.     

Retail Value-Based Pricing Strategies: New Times,New Technologies,New Consumers

The global marketplace is continually shaped by changing realities, including the recent economic downturn and ever-increasing adoption of new technologies. The results of these changing realities affect every element of consumers’ shopping behavior, as well as their value perceptions. This article examines how recent changes in the environment and technology have spurred changes in how consumers perceive value, as well as in how retailers communicate their value offers. Furthermore, this introductory article highlights how the 14 contributions in this special issue of the Journal of Retailing on pricing relate to these areas of change.     

Understanding the co-creation effect: when does collaborating with customers provide a lift to service recovery?

Because co-creation allows customers to help shape or personalize the content of their experience, it can affect customer satisfaction with recovery efforts, as well as offer a more cost-effective alternative to compensation. This article identifies specific situations in which co-creation is and is not useful. Study 1 tests the impact of co-creation in comparison with compensation for enhancing satisfaction with the recovery process and demonstrates that co-creation offers a cost-efficient strategy for companies when customers must deal with severe delays. Study 2 extends these results by showing that the impact extends to repurchase intentions. Study 3 details conditions in which co-creation harms evaluations. Finally, Study 4 explores whether it is necessary for the company to meet the customer??s requests when co-creating a recovery, as well as what happens when the company exceeds a customer??s requests. The article concludes with a discussion of the theoretical and managerial implications, limitations, and research directions that emerge from the studies.     

Assessing the predictive validity of two methods of measuring self-image congruence

The predictive validity of two measurement methods of self-image congruence—traditional versus new—were compared in six studies involving different consumer populations, products, consumption settings, and dependent variables (brand preference, preference for product form, consumer satisfaction/dissatisfaction, brand attitude, and program choice). The traditional method is based on tapping the subject’s perception of product-user image and the subject’s perception of his/her self-image along a predetermined set of image attributes and adding the self-congruity scores across all image dimensions. Three problems were identified and discussed in relation to the traditional method: (1) the use of discrepancy scores, (2) the possible use of irrelevant images, and (3) the use of the compensatory decision rule. The new method is based on tapping the psychological experience of self-congruity directly and globally. The findings demonstrated the predictive validity of the new method over and beyond the traditional method. His research interests are mostly in self-concept, quality of life, and systems theory. His research interests are mostly in pricing and product quality. Her research interests are primarily in family decision making. Her research interests focus on the social psychology of clothing and patronage of clothing retailers. His research interests are mainly in the social psychology of travel and leisure behavior. His research interests are mainly focused on self-concept, quality of life, environmental marketing, and sports marketing. His research interests are mainly in self-concept and value-expressive advertising. He is the Academy of Marketing Science Distinguished Professor of Business and is the founder of the Academy of Marketing Science. He currently serves as the organization’s executive director. His research interests are mostly in consumer behavior and advertising.     

Customer Experience Management in Retailing: An Organizing Framework

Survival in today's economic climate and competitive retail environment requires more than just low prices and innovative products. To compete effectively, businesses must focus on the customer's shopping experience. To manage a customer's experience, retailers should understand what “customer experience” actually means. Customer experience includes every point of contact at which the customer interacts with the business, product, or service. Customer experience management represents a business strategy designed to manage the customer experience. It represents a strategy that results in a win-win value exchange between the retailer and its customers. This paper focuses on the role of macro factors in the retail environment and how they can shape customer experiences and behaviors. Several ways (e.g., promotion, price, merchandise, supply chain and location) to deliver a superior customer experience are identified which should result in higher customer satisfaction, more frequent shopping visits, larger wallet shares, and higher profits.     

Environments, unobserved heterogeneity, and the effect of market orientation on outcomes for high-tech firms

The interaction between market orientation and facets of the environment is theoretically compelling and is hence the primary interaction studied in market orientation literature. Yet empirical literature offers mixed findings regarding these interaction effects. We suggest that these mixed findings may result from the failure of extant research to control for unobserved heterogeneity that may mask the true relationships among market orientation, facets of the environment, and firm outcomes. Such unobserved heterogeneity might arise due to presence of higher order (e.g., three-way, four-way) moderators (e.g., firm size and innovativeness). To illustrate our assertions on unobserved heterogeneity and the role of firm size and innovativeness, we present two studies that use firm performance or new product performance as the outcome variable; the studies (1) include market orientation, two facets of the environment (technological turbulence and market dynamism), and the interactions between market orientation and facets of the environment as explanatory variables, (2) employ finite mixture regression models to estimate the relationships of interest while explicitly accounting for unobserved heterogeneity in the form of latent regimes (segments), and (3) use firm size and innovativeness as concomitant profiling variables in the finite mixture model specification. The results indicate that disaggregate models (i.e., multi-regime solutions) offer the best fit in both studies. The effects across the latent regimes differ, demonstrating the possibility of an aggregation bias in empirical literature and suggesting the need for using disaggregated analyses to study important marketing phenomena. In theoretical terms, these results also suggest the possibility of developing theories that incorporate unobserved heterogeneity and perhaps higher order (e.g., three-way) interaction effects.     

Self-service technology effectiveness: the role of design features and individual traits

Self-service technologies (SSTs), such as in-store kiosks, are increasingly prevalent and becoming a critical component of marketing. Researchers and practitioners alike have recognized the need to understand the effectiveness of these computer-based innovations for self-services—in particular, how to strengthen customers’ perceived control over and evaluations of SSTs. Drawing on the resource-matching theory and the technology-based services and self-services literature, the authors hypothesize the interactive effects of two SST design features—namely, comparative information and interactivity—on customers’ perceived control and interface evaluations. The authors then propose that the interaction pattern is further moderated by two individual traits: prior experience and technology readiness. The hypotheses are tested in two separate computer-based experiments with representative samples of the general U.S. population in a shopping environment. The findings support the hypotheses, enhancing knowledge in this emerging domain and providing important implications for managers and researchers.