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Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

Two primary approaches have been used to study employment brands and branding. First, there is a long history of the study of organizational attraction. Second, in the past 10–15 years, there has been growth in a hybrid stream of research combining branding concepts from the consumer psychology literature with I/O psychology frameworks of organizational attraction and applicant job search behavior. In this chapter, we take an entirely different approach and suggest that the theoretical models built around product/service brand knowledge can readily accommodate employment brands and branding without hybridizing the framework with I/O psychology. This merging of employment brand with product and service brands is accomplished simply by recognizing employment as an economic exchange between workers and employers and recognizing workers as cognitive and emotional beings that vary in their talents and have their own vectors of preferences for the employment offering. After developing a testable model of the components, antecedents, and consequences of employment brand knowledge, we review the existing employment brand and organizational attraction literature and identify multiple opportunities for additional research.

This study analyses direct effects of risk-related factors on perceived quality for private labels.

A total of 159 usable data was collected through survey, using mall intercept method in one regional retail chain in Bosnia and Herzegovina.

The results confirm that the perceived risk has a significant and negative impact on consumers’ perceptions of the quality of private labels, and that the financial risk, performance risk, and physical risk are significant determinants of overall perceived risk, thus indirectly influencing the perception of the quality of these brands.

This chapter shows that the perceived quality of private labels is significantly determined by the perceived risk to which consumers are exposed. The findings of this research can help retailers in terms of adequately defining marketing policies aimed at reducing the perceived risk that consumers are exposed to when purchasing their own brands.

The authors ask whether individuals tasked with persuading others have distinct and important concerns regarding their occupational stress and well-being. The authors argue that a well-known model from the marketing literature – the persuasion knowledge model (PKM; Friestad & Wright, 1994) – illuminates a number of issues for future study. The authors further argue for a number of extensions to the PKM to account for the persuasion agent’s side of the interaction. Next, the authors consider potential stressors that are distinctive to the persuasion encounter, as well as the strategies that persuasion agents engage to cope. This discussion reveals a number of potential negative consequences for the agents themselves, as well as their employing firms and customers. Finally, the authors present some thoughts on what persuasion agents, their managers, and external regulators can do to mitigate these negative consequences.

Luxury goods manufacturers may find it profitable to enter a different demographic segment, and several strategies are available to do so. Nevertheless, such market expansion can be risky, and the luxury goods company must avoid tarnishing the equity contained in the luxury brand. This study examines the effects of a co-branding strategy between luxury brands and retailers on consumers’ evaluation of the luxury brand's image. We use information integration theory (IIT) as the basis for our study, as it can be used to explore how attitudes are formed and changed as new information is combined with existing cognitions and thoughts. A theoretical model based on IIT is built and empirically tested using a sample of 240 Taiwanese adult consumers. We conduct an experimental survey study in which we manipulate luxury brand familiarity and product and brand fit between luxury brand and the co-brand, and assess prior-attitudes and post-attitudes toward the luxury brand and attitudes toward the co-brand. We find support for many of our hypotheses: prior-attitudes toward the luxury brand is positively related to the attitude toward the co-brand, brand fit is related to attitudes toward the co-brand, and brand fit is marginally related to the post-attitude toward the luxury brand. Other hypotheses, however (such as those regarding product fit) were not supported. We conclude by discussing our theoretical and managerial contributions.

This chapter traces the development of the pricing research program of Kent Monroe, beginning with his doctoral dissertation and continuing to the present time. Drawing on psychophysics and adaptation-level theory the early research efforts concentrated on validating two important concepts relative to behavioral pricing research: reference price and acceptable price range. Then the behavioral pricing research program expanded to explore how the context of a purchase situation, including the structure of the prices available for judgment, influences buyers' price perceptions and willingness to buy. In the early years his research included pricing models and research on patronage behavior. Subsequently, concentrating primarily on behavioral pricing research, he began to integrate findings from the research program into examining how various sellers pricing strategies and tactics influence buyers' judgments and purchase decisions. These efforts led to the first edition of his book Pricing – Making Profitable Decisions published in 1979. The book was subsequently revised and expanded in 1990 and again in 2003.

The purpose of this chapter is to examine the phenomenon of “showrooming” in which shoppers use mobile devices in retail stores to check prices and other data on products that they then may buy online.

We conducted depth interviews with 50 consumers, 13 small retailers, and 6 large retailers.

We identified four distinct behavioral groups of customers and six strategies small retailers are currently using or could use to address the potential problems showrooming can create. We also identified a new type of reference pricing.

This research provides a guide researchers can use in further work on showrooming. The research consists of depth interviews. It is possible that other types of retailers may have developed other strategies not identified here or that a larger number of non-student participants would have identified other categories, though differences between students and non-students in our sample were not noteworthy.

This chapter provides a practical guide to small retailers as to how they can deal with the growing practice of showrooming, helping them to choose strategic responses based on the types of consumers they serve.

This is one of the first papers to be published in an academic journal on the value of showrooming. It provides a typology of consumers grouped by their behavior, that is, how and why they engage or don’t engage in showrooming. This can help academic researchers in future research as well as managers of small retail businesses. We also identified a new, third type of reference pricing.