Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.     

“Showrooming” in Consumer Electronics Retailing: An Empirical Study

The present study focuses on multichannel retailing strategies and describes the state of consumer behavior regarding “showrooming” (the practice of examining merchandise or products in a retail store and then buying it online). Founded on the theory of planned behavior (TPB), the authors examine the antecedents of showrooming using data collected from a sample of 176 retail consumers. Based on their results, they define perceived control, website compatibility, and subjective norms as the main antecedents of consumer attitudes toward online purchases. Additionally, they state that previous experience and reasons against purchasing online are directly associated with consumers’ intention to purchase on the retailer’s website. Finally, some theoretical conclusions and practical implications for retailers are discussed.     

The behavioral responses to perceived scarcity – the case of fast fashion

The literature on scarcity has generally examined consumers’ attitudes towards scarce products and suggested that scarcity messages have a positive effect on the evaluation of and attitude toward the scarce object. However, literature has largely failed to explain consumers’ feelings or reactions to human-controlled scarce environments. This study examines how deliberate product scarcity influences the consumers’ behavioral responses, and provides an understanding of consumers’ reactions to conditions of scarcity that are strategically created by marketers. The context of this study is fast fashion retailers, as they are known to create extreme human-induced scarcity. We conducted 21 face-to-face interviews with fast fashion store managers, consumers, and an industry expert. Further, observational research was also conducted to observe the consumer buying behavior across 10 different fast fashion stores. The objectives were to (1) help the interviewees think about the various strategies adopted to induce scarcity within the stores (from retailer’s perspective), (2) understanding of scarcity in these stores (from consumer’s perspective), and (3) consumers’ responses to such deliberate manipulations. All the interviewees agreed that fast fashion stores were successful in creating perceived scarcity which reflected both limited merchandise supply as well as deliberate manipulation of merchandise availability by the retailer. The findings also suggest that consumers in these perceived scarcity conditions exhibit buying behavior like urgency to buy, which further leads to deviant and competitive behaviors like in-store hoarding and in-store hiding. Though perceived scarcity, urgency to buy, and in-store hoarding was consistent across the interviews with store managers and consumers, surprisingly, the phenomenon of in-store hiding behavior did not emerge from any of the interviews conducted with store managers, but was a consistent theme across most consumer interviews.     

Online and offline retailing: What we know and directions for future research

The fast-paced growth of e-commerce is rapidly changing consumers’ shopping habits and shaping the future of the retail industry. While online retailing has allowed companies to overcome geographic barriers to selling and helped them achieve operational efficiencies, offline retailers have struggled to compete with online retailers, and many retailers have chosen to operate both online and offline. This paper presents a review of the literature on the interaction between e-commerce and offline retailing, highlighting empirical findings and generalizable insights, and discussing their managerial implications. Our review includes studies published in more than 50 different academic journals spanning various disciplines from the inception of the internet to present. We organize our paper around three main research questions. First, what is the relationship between online and offline retail channels including competition and complementarity between online and offline sellers as well as online and offline channels of an omnichannel retailer? Under this question we also try to understand the impact of e-commerce on market structure and what factors impact the intensity of competition /complementarity. Second, what is the impact of e-commerce on consumer behavior? We specifically investigate how e-commerce has impacted consumer search, its implications for price dispersion, and user generated content. Third, how has e-commerce impacted retailers’ key managerial decisions? The key research questions under this heading include: (i) What is the impact of big data on retailing? (ii) What is the impact of digitization on retailer outcomes? (iii) What is the impact of e-commerce on sales concentration? (iv) What is the impact of e-commerce and platforms on pricing? And (v) How should retailers manage product returns across online and offline channels? Under each section, we also develop detailed recommendations for future research which we hope will inspire continued interest in this domain.     

Optimal retail sales strategies for old and new products in monopoly and horizontal competition scenarios

Advances in technology have made product updates more frequent and allowed consumers to choose different versions of the same product based on their preferences. It is crucial for retailers to understand how to formulate optimal sales strategies based on those different consumer preferences. To this end, we develop game models that consider the heterogeneity of consumer preferences under both monopoly and horizontal competition scenarios and perform the sensitivity analysis to examine the impact of consumer proportions and consumer preferences on retailers’ sales strategies. The results show that (i) regardless of competition or monopoly status, the original retailer can always maximize profit by setting prices based on the market share of traditional consumers, as long as the retailer sells both new and old versions of the product; (ii) the greater the competitive advantage of the competitor, the more advantageous the hybrid sales mode; (iii) if the price of the old product is below a certain threshold, there will be a positive profit for the original retailer when selling both the old and new products; and (iv) when consumer acceptance of competing retailers is lower, entering the retail market is not a good choice for competing retailers.     

Dynamic assortment in the presence of brand heterogeneity

In this paper, we study the dynamic assortment planning problem in the presence of heterogeneous brands. Over a limited selling season, the retailer sells heterogeneous products from one store brand and one national brand. We use the nested multinomial logit (NMNL) framework to model consumer choice process, in which consumers choose first which brand to buy and then a product within that brand. We formulate this problem using the finite-horizon dynamic programming approach. Using available sales transaction data, we estimate the consumer choice behavior and empirically demonstrate existence of brand heterogeneity. Further, our results suggest that ignoring brand heterogeneity will make the retailer’s expected revenues significantly overestimated, and the potential revenue overestimation depends on initial inventories and prices of products of two brands. We finally show that the retailer will benefit from dynamic assortment optimization with the estimated consumer choice model.     

Retailer corporate social responsibility and consumer citizenship behavior: The mediating roles of perceived consumer effectiveness and consumer trust

Retailers often face pressure from stakeholders to address social and environmental issues. The purpose of this study is to investigate the influence of retailer corporate social responsibility (CSR) on consumers' perceptions and behavior. Drawing on the theoretical foundations of social identity theory and signaling theory, this study presents and validates a unique model which examines the mediating effects of perceived consumer effectiveness and consumer trust on the relationship between retailer CSR and consumer citizenship behavior. Using a sample of 407 consumers in China, results of structural equation modeling show that retailer CSR is positively associated with consumer citizenship behavior. Additionally, perceived consumer effectiveness and consumer trust positively mediate this association. Taken together, these findings provide support for retailers to develop CSR programs that remind and reinforce consumers’ perceptions about socially responsible behaviors.     

What drives competitive webrooming? The roles of channel and retailer aspects

ABSTRACT

Competitive webrooming, the phenomenon in which consumers gather product information online but ultimately purchase the product in an offline store of a competing retailer, has gained traction and become a major threat for retailers. To gain a deeper understanding of its drivers, we surveyed 1081 retail customers about their most recent consumer electronic product purchase to examine the impact of channel-related aspects as well as retailer-related aspects – a dual approach that has not been applied previously. A channel’s anticipated after-sales service and price level are the strongest predictors for webrooming. Moreover, retailer aspects determine whether customers simultaneously switch retailer when webrooming. A retailer’s assurance of delivery, including payment modalities, return policies, and product obtainment, as well as competitive product prices motivate consumers to switch retailer when webrooming. These results suggest that customers have a fundamental need for certainty within and after the buying process, which can be satisfied by both channel and retailer. Additionally, this is the first study to empirically test for interactions between channel and retailer aspects, as they are likely to occur in real shopping situations. We identified two interactions: First, a retailer’s assurance of delivery can compensate for an anticipated lack of a channel’s after-sales service, dampening the impact of the latter on competitive webrooming. Second, retailer’s price attractiveness acts in a similar vein. Hence, to steer customers into channels and/or keep them with the company, retailers should emphasize their price attractiveness as well as assurance of delivery.     

Crosswise and reciprocal interdependencies within retailers’ multichannel structures

Understanding consumer behavior across channels is the fundamental basis for implementing successful multichannel retailing strategies. This study analyzes the crosswise and reciprocal relationships between offline and online brand beliefs, offline and online retail brand equity and consumers’ conative loyalty to a retailer in multichannel structures. The relationships are contextualized by investigating fashion and grocery retail sectors and different prior channel performances that are likely to affect the paths to loyalty across channels. To provide insight into these issues, two cross-sectional and two longitudinal models are employed. The results show that former brick-and-mortar retailers are able to significantly increase consumers’ loyalty to the firm by primarily designing offline (secondary online) attributes and beliefs. The results hold for retailers in both fashion and grocery retailing, however, with stronger effects in fashion, as well as for retailers with strong vs. weak prior channel performance. However, indirect effects indicate that online brand beliefs and offline retail brand equity are the central strategic levers for prior strong (vs. weak) retailers. Reciprocal relationships between online and offline retail brands underline important channel interdependencies. Managers thus need to take these crosswise and reciprocal interdependencies between channels into account when designing successful multichannel retailing systems. This study introduces the novel idea of simultaneous crosswise and reciprocal relationships within multichannel retail structures and shows that paths to loyalty vary for retailers in different retail sectors and retailers with strong vs. weak offline and online channel performances.     

An exploration of consumers’ experiences in physical stores: comparing consumers’ and retailers’ perspectives in past and present time

Abstract

In this paper, we explore consumers’ in-store experiences and their components, from both a consumer and retailer perspective. This is a replication of a study we performed in 2006 and thus we also examine how the role of the physical store has changed over the last decade. We use the Critical Incident Technique (CIT) to improve our understanding of consumers’ in-store experiences. Moreover, we conduct in-depth interviews with Swedish retailers to achieve an understanding of how retailers use aspects of the store environment to enhance the consumer experience. Interestingly, our results suggest that consumers’ in-store experiences to a large extent are created by the same aspects today as ten years ago (e.g. personnel, layout, atmosphere). Furthermore, while retailers today emphasize the importance of fulfilling new and more advanced consumer demands, they often still accentuate the weight and use of traditional values (e.g. personnel and layout) ahead of advanced technology.     

The effect of COVID-19 on consumers’ channel shopping behaviors: A segmentation study

COVID-19, combined with firms' multichannel adjustments, has accelerated changes in consumer shopping behaviors. This paper explores these issues through a segmentation study to examine consumers’ pre- and during-COVID-19 channel shopping behavior. Using survey data from 485 U.S. participants, Latent Profile Analysis identified six segments that vary in three dimensions: in-store vs. online behavior pre-COVID-19, in-store vs. online behavior during-COVID-19, and the change in channel shopping behavior from pre- to during-COVID-19. Motivation (utilitarian and hedonic), opportunity (time and physical), and ability play significant roles in explaining the findings, while psychographic and demographic variables play lesser roles. Further analysis revealed that these segments have different channel switching intentions when the focal retailer closed its physical store. These findings add greater understanding and support to the assumption that consumers more frequently shopped online than in-store during- than pre-COVID-19. In sum, this research addresses how changes in the shopping environment may affect consumer segments and their behavior.     

Product Touch and Consumers’ Online and Offline Buying: The Role of Mental Representation

As offline retailers struggle to compete with online ones, the importance of a consumer’s ability to touch a product prior to purchase becomes important to study. Prior research has found inconsistent results on whether product touch facilitates consumers’ product-related decision making. Some studies report a positive effect, whereas others do not. The current research reconciles this inconsistency and draws retailing implications. Across three experiments, we show that the effect of product touch on consumers’ purchase intentions and willingness to pay for a product being evaluated is evident when consumers’ mental representation of the product is concrete, but not when abstract. We further show that perceived risk and perceived ownership simultaneously mediate this moderating effect of mental representation. Implications are drawn for both offline and online retailers.     

The influence of in‐store personnel on online store value: An analogical transfer perspective

In today’s multichannel retail environment, consumers’ experiences in one channel influence their perceptions of another channel. Specifically, consumer evaluations of a firm’s online store have been found to be influenced by consumer interactions with the firm’s in‐store personnel. This paper is among the first to address this assumption and test it empirically. Drawing upon the analogical transfer paradigm, we propose hypotheses and accordingly model in‐store personnel’s competence and friendliness as determinants of online store usefulness, online store enjoyment, and online store value. Using consumer data collected from two Dutch multichannel retailers, we test this model with partial least squares modeling. The results provide clear support for the model and confirm that consumers may use characteristics of in‐store personnel as analogies when evaluating a firm’s online store. Implications for research and retail managers are discussed.     

Factors affecting Indian shoppers׳ attitude and purchase intention: An empirical check

The objective of this study was to examine affecting factors that influence Indian consumers׳ attitude toward retailers and purchase intention from the retailers. A questionnaire was used to collect data using systematic sampling from department store shoppers of age 18 years and above in Kolkata, a metropolitan city of India. Structural equation modelling (n=355) was used to examine the impact of affecting factors on consumers׳ attitude toward retailers and the impact of consumers׳ attitude toward retailers on purchase intention. Results indicated that the factors namely self-congruity, retailer awareness, retailer associations and retailer perceived quality have significant positive impacts on consumer׳s attitude toward retailers. The results also indicated that consumers׳ attitude toward retailers positively influences purchase intention. Arguably, this paper was the first to explore such linkages between the affecting factors that influence consumers׳ attitude toward retailers and purchase intention in Indian context.     

Influence of retailers’ commitment to sustainable development on store image,consumer loyalty and consumer boycotts: Proposal for a model using the theory of planned behavior

This research has a twofold objective: first, to propose a tool for evaluating retailers’ commitment to sustainable development as perceived by consumers (RCSD); second, to test a conceptual framework adapted from the Ajzen and Fishbein (1980) model and to study the impact of RCSD on the retailer’s image, consumer loyalty and boycotts. Structural equation modeling was used to test the hypothesized relationships. The study confirms the link between RCSD and the consumers’ positive image toward the retailer and suggests that sustainable development practices can help retailers build a good image among consumers. But there is no link between RCSD and consumer loyalty, showing that sustainable development is not a purchase criterion for consumers.     

Marketing analytics using anonymized and fragmented tracking data

With the digitization of the retail industry, there is a growing abundance of event-based tracking data describing consumer behavior (e.g., online clickstreams and offline sensors tracking the movement of shoppers). However, stronger data privacy regulations and the growing privacy consciousness of consumers suggest that much of the data may increasingly only be available to retailers in an anonymized and fragmented form that does not identify individual consumers exactly. In response to the relative paucity of research on marketing analytics in retailing using anonymized and fragmented event-based (AFE) tracking data, this paper makes three interrelated contributions. First, we describe the relevance of AFE data in the future of retailing, contrasting it with other forms of aggregate and individual-level data. Second, we propose a methodology for analyzing AFE data, which allows us to approximately recover individual-level heterogeneity and derive meaningful variables from the raw data. Third, we validate the methodology using representative data collected by deploying sensor-enabled shelves in a field experiment within a store. We find that our approach to analyzing AFE data can help uncover interesting patterns of consumer behavior and could be applied across other online and offline retail settings in practice.     

Revisiting the showrooming effect on online and offline retailers: The strategic role of in-store service

This study revisits the showrooming effect on online and offline retailers and is the first to examine the strategic role of in-store service in this regard. Considering the effect of in-store service in attracting consumers to offline channels and the showrooming effect of persuading offline consumers to purchase online, we propose a model consisting of two firms, a brick-and-mortar (BM) store and an e-tailer that can invest the staff or facilities necessary to deliver in-store services to consumers. Based on the service decisions, the two firms make their pricing decisions. We compare the optimal decisions of retailers in the cases without and with showrooming to explore the interaction between in-store service and showrooming. Our findings indicate that when a customer bears a high travel cost to visit the BM store, the store should lower the price, and improving the in-store service is ineffective in countering the consumer's showrooming behavior. Moreover, the service level in the case with showrooming can be either higher or lower than in the case without, and the outcome mainly depends on the efficiency of the service investment. Interestingly, in-store services can lead to a win–win situation for both online and offline retailers with showrooming. This study can also be extended to the case of powerful e-tailers or competing BM stores.     

Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters

This study investigates how retailers can leverage their brand to shape customers’ satisfaction with service encounters. It develops and tests hypotheses about how brand, store, and consumer factors moderate customer responses to experience clues during retail service encounters. Six meta-regression analyses synthesize and compare results from 842 satisfaction equations describing customers’ encounters with a global retailer operating 400 stores in 32 countries. The results show how customers weigh their perceptions of service encounters differently depending on brand, store, and consumer factors. In markets where customers believe the retailer has high holistic brand quality, they place less weight on experience clues within the store. In markets where customers believe the retailer’s service brand promise, they place more weight on in-store experience clues. In markets where the retailer promises utilitarian value, customers weigh functional experience clues more heavily. In markets with an online purchasing channel, the effect of experience clues common to offline and online store environments is magnified, and unique clues are diminished. In addition, customers heavily weigh experience clues that fit their goals. In general, retail success factors include high brand quality (which makes customers more forgiving), a service brand promise that is mirrored in the store image (which makes customers attend to the experience clues aligned with them), and the careful monitoring and managing of retail touchpoints (to customize experience clues to each market). In this way, retailers can use customer-based strategies to effectively design and manage their global retail brand in different markets.     

The provenance of loyalty card data for urban and retail analytics

The deployment of loyalty card and other consumer data in geographic research brings opportunities to explore and understand patterns of purchasing behaviour in unprecedented detail. However, valid generalisation requires thorough evaluation of their potential bias. We argue that, in competitive markets where consumers can choose to shop across competing retailers, loyalty card data from just one of these may not represent a ‘complete’ view of all purchases, and that this ‘completeness’ must be controlled for when assessing bias. To this end, we undertake a UK wide analysis of loyalty card data assembled by a major UK grocery retailer and provide guidelines for their effective deployment in the domains of urban and retail analysis. We assess, for the first time, the ‘completeness’ of circa 500 million customer transactions recorded by a major customer loyalty programme in representing the overall purchasing patterns of circa 16 million consumers across the entire UK, and develop a method by which to do this. Moreover, no operator has complete national store coverage, and so we suggest ways of accommodating this when conducting analysis using loyalty card data. We illustrate the importance of these issues before providing recommendations for the wider use of consumer loyalty card data.     

Does product involvement drive consumer flow state in the AR environment? A study on behavioural responses

Understanding consumers’ behavioural responses is crucial to improve the usage of augmented reality (AR) by retailers. Both in the online and offline retail market, AR enhances consumers’ shopping experiences by offering them enjoyable and immersive information about products and services. This paper explores consumers' behavioural responses by measuring the role played by product involvement in affecting the AR flow experience. To this end, the study employs a quantitative approach based on data collected from August to September 2022. Results show that consumers' involvement with products affects their AR flow experience, along with their behavioural intentions in terms of purchase intention and intention to visit the retailer’s website and recommend or share the experience. In addition, the latter two variables mediate the relationship between the AR flow experience and loyalty, showing interesting insights on high-body-involvement products. The paper ends by highlighting the main theoretical and managerial implications of these results, along with the scope for further research.