Does Online Information Drive Offline Revenues?: Only for Specific Products and Consumer Segments!

While many offline retailers have developed informational websites that offer information on products and prices, the key question for such informational websites is whether they can increase revenues via web-to-store shopping. The current paper draws on the information search literature to specify and test hypotheses regarding the offline revenue impact of adding an informational website. Explicitly considering marketing efforts, a latent class model distinguishes consumer segments with different short-term revenue effects, while a Vector Autoregressive model on these segments reveals different long-term marketing response.We find that the offline revenue impact of the informational website critically depends on the product category and customer segment. The lower online search costs are especially beneficial for sensory products and for customers distant from the store. Moreover, offline revenues increase most for customers with high web visit frequency. We find that customers in some segments buy more and more expensive products, suggesting that online search and offline purchases are complements. In contrast, customers in a particular segment reduce their shopping trips, suggesting their online activities partially substitute for experiential shopping in the physical store. Hence, offline retailers should use specific online activities to target specific product categories and customer segments.     

Online customer service and retail type-product congruence

This study investigates how various elements of customer service affect the behavioral intention to shop at the online or the offline store for different product categories. We focus on the perceived value, trust, interface, empathy, and offline presence as the dimensions of the customer service for the retail store (online or offline). Using 317 respondents from the online stores’ users, this study finds that perceived value is the strongest predictor for future intention to shop at online stores, whereas offline presence of an online store did not enhance the future intention to shop at online stores. Other dimensions such as enhanced trust and ease of interface strengthen the intention to purchase at the offline stores. Finally, perceived value and empathy associated with online stores harm the offline stores. In synch with the Theory of Congruence, this study supports the notion that the perceived congruence between product type and retail store type affect their intention to purchase certain product categories at the online stores and to purchase other groups of product categories at offline stores. Further ramifications of these findings are discussed in the paper.     

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.     

Consumer heterogeneity and online vs. offline retail spatial competition

This paper develops a game-theoretic spatial model featuring consumer heterogeneity in online vs. offline retailers’ spatial competition. We find that consumers’ browse-and-switch behavior intensifies the competition because both offline and online retailers’ price and profit decline when the behavior occurs, but it is not necessarily a threat to offline retailers especially when the product relates more closely to experience. We consider six equilibrium scenarios for different combinations of consumer behaviors when considering a hybrid retailer. The analysis taking consumer heterogeneity into consideration shows that the hybrid retailer operating both online and offline is not always the winner. Particularly, the business opportunity for the offline retailer lies in consumers’ willingness to pay in store, and whether the retailer launches an online store depends on the type of products and services provided.     

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.     

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.     

Let the music play or not: The influence of background music on consumer behavior

This study concerns the effect that music has on consumer behavior in two different retail contexts during regular opening hours. Two studies were conducted in a field setting with consumers (N=550). Consumers were recruited to answer questions regarding behavioral measures, attitudes, and mood during days when background music was played. The conclusions from the two studies are that music affects consumer behavior, but also that the type of retail store and gender influences both the strength and direction of the effect.     

“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.     

When Do Online Consumers Shop in an Offline Store: The Moderating Effects of Product Characteristics

This study serves as an initial attempt to demonstrate empirically how online consumers react to the offline channel extensions (i.e., opening physical stores) of e-tailers. Specifically, we examine how the attributes of offline channels influence consumer intentions to switch to offline channels and how they also lead to incremental demands on online channels. We investigate how these effects vary across highly complex utilitarian and hedonic products. The results of the study indicate that although store openings encourage online consumers to shop there when purchasing highly complex utilitarian products, the addition of offline stores results counterintuitively in incremental patronage of the online channels when consumers shop for highly complex hedonic products. This study validates the guiding role of product characteristics in designing offline channels for e-tailers and suggests that incorporating product type and complexity into the design is likely to contribute to the development of stores tailored to specific consumer segments.     

The Effects of Background Music on Consumer Responses in a High-end Supermarket

Abstract

This study examines the effects of in-store background music valence (liking) and music fit with the overall store image on consumer evaluative and behavioural responses in the context of a high-end supermarket chain. Based on the previous body of work, a conceptual model is developed to examine music valence on customer appraisal of store offering and personnel, and on the length of shopping time and the value of purchase. The influence of the perceived music fit with the overall store image on shopping time is also assessed in the model. The hypothesized relationships are examined via covariance analysis using store-intercept consumer data. Implications of the structural analyses results for management of retail store brands and for future research on music as an element of store atmospherics are discussed.     

Consumer responses to offline and online low price signals: The role of cognitive elaboration

Low price signals (LPS), pricing tools where retailers promise to match or beat competitors' prices, have been increasingly popular in offline and online markets. We compare consumer evaluation of offline and online LPS as a function of how deeply they process the signals. Results of an experiment indicate that regardless of retail media consumers accept an LPS as an indicator of low price when they do not elaborate sufficiently on the signal. However, at high levels of elaboration, consumers challenge the assumptions underlying their acceptance of the signal at lower levels of elaboration whereby they become more skeptical of an online signal than an offline signal resulting in lower efficacy of the former. Implications of these findings for consumer vulnerability to false low price signaling are discussed along with other theoretical and managerial implications. Additionally, directions for future research are provided.     

Growth factors of store brands in different store formats in Italy

Since the beginning of the consumer crisis, which in Italy can be traced back to the second half of 2008, there has been a significant development of store brands? market share which has reached close to 25% in some leader groups (for example Coop, Conad, Esselunga). The acceleration of the rate of penetration of store brands differs by category and store format. The main reason for this result is the different consumer purchase behavior. In this framework, this work aims at analyzing the elements that have determined the store brands success in the main store format (hypermarket, supermarket, convenience store), through analysis of single retail mix levers management. The factors that have mostly influenced the growth in store brands, in each store format, are investigated throughout a complete informative retail database. The aim of this study is to verify whether the management of the individual retail mix levers produces the same results in different store formats. Additional enhancement to the understanding of store brands management and further support to modern distribution management policies are also provided. A relevant finding is that the performance of store formats depends on the use of specific retail mix levers.     

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.     

Additive omnichannel atmospheric cues: The mediating effects of cognitive and affective responses on purchase intention

In today's channel-centric retail ecosystem the right mix and orchestration of online and offline stimulus is paramount towards providing an optimal store atmosphere and shopping experience. Applying the S-O-R framework, this research explores additive omnichannel atmospheric cues stimuli, in order to discover their impact on affective (i.e., pleasure, arousal and dominance) and cognitive (i.e., store environmental quality perception) states and their consequential effect on consumer responses in the form of purchase intention. Employing a four-condition repeated measures experimental design in a physical store, utilizing mobile, IoT and social media channels (Study 1), as well as a between-subjects online lab experiment (Study 2), this research sheds light into the affective and cognition-mediated causal mechanisms that influence shopping outcomes. This work reveals that combining stimulus from all retail channels within the physical store (i.e., omnichannel atmospheric cues) increases consumers' pleasure, arousal and the quality of the environment as a whole, which in turn positively influences purchase intention. However, the impact of dominance is only prominent at the more controlled, laboratory setting, in which purchase intention increases while dominance attenuates.     

Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research

The authors review 50 empirical retailing research papers that have appeared over the last 20 years to take stock of what we know, need to know better, and do not know yet about within-retailer cross-channel effects of omnichannel retail marketing strategies on (a) consumer responses over their purchase journeys, i.e., online and/or offline search, purchase intention, frequency, amount, returns, loyalty, and (b) the retail firm's aggregate outcomes (e.g., sales, costs, profits, product returns) by channel and overall. Specifically, the authors focus on five strategies: (1) the addition of online channel by an offline retailer; (2) the addition (or subtraction) of offline channels by an online retailer; (3) addition of mobile shopping channel (website and/or app) by offline and/or online retailer; (4) cross-channel integration strategies; and (5) retail marketing mix strategies. The author/s integrate findings from empirical research on these strategies into a number of ‘insights’ about ‘what we know’. Prominent among these are the following: Adding a transactional online channel to an offline channel improves the retailer's overall sales even though offline channel sales can be cannibalized to some degree. Adding an offline channel by an online retailer, however, boosts online channel sales as well as overall sales of the retailer. Similarly, adding a mobile shopping channel usually increases customer purchase frequency and amount and overall sales of the retailer in the long-term. Strategies for greater cross-channel integration generally have a positive effect on a retailer's overall performance while online advertising has positive effects on offline channel consideration and sales as well as overall sales of a multichannel retailer. Other insights or findings that need further study or open questions are also identified. The paper closes with managerial implications of the derived empirical insights, and suggestions for future research.     

The Showrooming Phenomenon: It's More than Just About Price

This paper examines the factors that influence competitive showrooming, whereby consumers visit an offline retail store to gather information but make their purchase online at a competing retailer. We survey 556 respondents to study how the benefits and costs of showrooming influence the consumer's decision to showroom. Not surprisingly, we find that expected average price savings from showrooming are positively associated with showrooming. In addition, however, the perceived dispersion in online prices is also positively related to showrooming. Moreover, we find that non-price factors play a key role in consumers' showrooming decisions: perceived gains in the quality of the product purchased when showrooming (measured as the fit with a consumer's need) and waiting time for service in the brick-and-mortar store are positively associated with showrooming. Online search costs are negatively related to showrooming. Time pressure that consumers face when shopping is negatively associated with their propensity to showroom. We discuss implications for researchers and retail managers. For example, managers of offline retail stores can curtail showrooming by increasing the number of sales personnel available in-store instead of providing currently employed personnel with more training. To encourage showrooming, managers of online retailers should make it easier for the customer to search online.     

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.     

Sensory overload in a shopping environment: Not every sensory modality leads to too much stimulation

Retailers use atmospheric cues to trigger emotional reactions that enhance consumer behavior. However, introducing cues into a store environment may also trigger sensory overload, due to too much stimulation. This study aims to examine the effects of adding high arousal atmospheric cues in a store environment on affective reactions, approach behavior, and evaluations by making use of different methods (i.e., two lab experiments and one field experiment), by adding various types of atmospheric cues (i.e., cues processed in higher senses versus processed in lower senses), and by differentiating the order in which they are added. Results reveal that when a third high arousal cue is added sensory overload (i.e., rise in perceived arousal and decrease in perceived pleasantness) occurs under the condition that this third cue is processed by a higher sense (i.e. visual or auditory sense). Furthermore, a decrease in approach behavior and evaluations is also observed when these conditions are met. Mediation analyses indicate that this effect on evaluations is mediated by pleasure and approach behavior. The research presented extends previous findings by investigating possible predictors (i.e., number of cues as well as type of cues) of the momentum where sensory overload may take place.     

Mobile payment and online to offline retail business models

Mobile payments are services that use mobile devices to make payments. When digitalization moves across channel boundaries, online to offline channel retail will expand. Online to offline retailing will become the future retail owner stream and retail operators will move from cross-channel or multi-channel to omni-channel. This study investigates a market survey in Taiwan developing a data mining analytics including clustering analysis and association rules based on a snowflake schema database design. The role of mobile payment is determined in terms of new retail payment mechanism that promotes a better consumer purchase experience in an online to offline business environment.     

Effectiveness of In-Store Displays in a Virtual Store Environment

This article examines in-store display effectiveness in an online grocery store and concentrates on two main issues. First, considering the more artificial and functional virtual store environment, we examine whether online in-store displays (ISD) produce a similar boost in sales as they do in offline stores. Second, we examine the moderating effect of display characteristics by comparing the effects of different display types. The results show that (1) online ISD can substantially increase brand sales and (2) ISD that preempt competition through a first-order and isolated position outperform ISD that attempt to make the product stand out in the shopping zone.