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.     

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.     

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.     

Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach

The way consumers make decisions across online and offline channels according to their perceptions of retailers׳ marketing practices is not well understood in the current literature. A few empirical studies have examined consumer decision-making styles (CDMS) and marketing practice among online and shopping mall consumers. This research endeavors to understand CDMS as market segments on the perception of marketing practice across retail channels. A total of 315 online and paper–pencil-questionnaires were collected to conduct the statistical analysis for the measurement and structural model using the partial least squares (PLS) path modeling approach, a structural equation modeling (SEM) technique. Six consumers׳ characteristics–perfectionist, brand consciousness, price conscious, fashion conscious, recreational and impulsive shoppers–were assessed in respect of retail products, price, advertising and retailing across-channels. The study contributes to retailing management by enabling it to implement effective retail segmentation and cross-channel strategy according to CDMS. The study limitations and implications are discussed.     

“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.     

Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing

Omnichannel retailing is a new retail norm that focuses on providing a seamless interaction between retailers and consumers. Although the effect of omnichannel retailing on business is increasingly recognised, privacy concerns remain a subject of debate and a delicate issue which could potentially inhibit its growth. Grounded in the Stimulus–Organism–Response (S–O–R) model, the current study investigates consumer behaviour in omnichannel retailing and uses Psychological Reactance Theory (PRT) as the theoretical basis to examine the moderating effect of privacy concerns. A quantitative approach was adopted by means of self-administered questionnaires. 736 consumers were sampled, and the data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings show that consumer perception of channel integration (CPCI), consumer empowerment (CE), and trust significantly affect patronage intention in omnichannel retailing. In addition, when privacy concerns are low, the effects of CPCI and CE on trust are found to be stronger. It underscores the need to synergize channel integration, retailer-consumer relationship empowerment and effective mitigation of privacy concerns in the omnichannel retailing context. Implications of the study are provided.     

Influences of online store perception,shopping enjoyment,and shopping involvement on consumer patronage behavior towards an online retailer

Online apparel retailers have adopted various types of image interactivity technology (IIT), such as close-up pictures or zoom-in functions, mix-and-match functions, and 3D virtual models to enhance consumers’ online shopping experience. The purpose of the present study was to examine the influence of level of IIT on consumer perception of online retail environment, shopping enjoyment, shopping involvement, a desire to stay, and patronage intention. Significant structural relationships between these research variables were found, supporting a pleasure-oriented conceptual model of consumer patronage behavior in the online retailing environment. Theoretical and managerial implications are discussed.     

When and how consumers are willing to exchange data with retailers: An exploratory segmentation

Consumer data is a crucial resource for retailers. Yet accessing this data increasingly requires consumers to willingly participate in data exchange. This paper draws on social exchange theory and privacy calculus to investigate differences in consumer willingness to exchange data with retailers. Consumers are also profiled on their perceptions of retailer's use and abuse of data, along with the antecedents and outcomes of these perceptions. We employ a cross-sectional quantitative survey and collect data from a sample of 463 US consumers. For statistical analysis, we employ a latent class segmentation and identify six consumer segments which differ in their perceptions of the consumer-retailer data exchange. The key drivers of these segment differences include privacy concerns, technology readiness, and general trust of, and engagement with, retail brands. The segments also differ in their subsequent views towards the use and abuse of their data by retailers, including willingness to exchange data. Hence, when accessing and utilizing consumer data, it is important that brands identify different segments, and adapt their approach accordingly.     

E-satisfaction: a re-examination

E-satisfaction as a construct has gained increasing importance in the marketing literature in recent times. The examination of consumer satisfaction in an online context follows the growing consensus that in Internet retailing, as in traditional retailing, consumer satisfaction is not only a critical performance outcome, but also a primary predictor of customer loyalty and thus, the Internet retailer's endurance and success. The current study replicates the initial examination of e-satisfaction within the U.S. by [Szymanski, David M., & Richard T. Hise (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309-322] among a sample of online consumers drawn from Germany. The replication was extended to two contexts—consumer satisfaction with Internet retail shopping and consumer satisfaction with Internet financial services sites. The results yield rich insights into the validity of extending the measurement and predictors of e-satisfaction to a trans-national context.     

Segmenting multichannel consumers across search,purchase and after-sales

While bricks-and-mortar stores and the Internet are dominant retailing channels, mobile and social media have rapidly emerged and challenge traditional retail models and consumer behavior. However, researchers have yet to account for how consumers integrate mobile and social channels throughout the various stages of the buying process. Using Latent-Class Cluster Analysis segmentation, we examine consumer behavior in store, Internet, mobile, and social media channels across the search, purchase and after-sales buying stages in the aggregate and specific to the clothing, holiday travel and consumer electronics categories. We find five multichannel consumer segments on the basis of perceived channel importance across the buying process, as well as psychographic and demographic characteristics. Interestingly, we find a polarization in perceived importance of mobile and social media channels, with two consumer segments rating mobile and social media channels as unimportant in the buying process. Furthermore, and compared to prior segmentations of multichannel consumer behavior, we do not find an aggregate store-focused segment. However, a store-focused segment exists in the context of buying clothing and represents 28.6 per cent of consumers. The findings show multichannel consumer preferences and behavior continues to evolve in line with new and emerging retailing channels. Further, this study confirms that there is no ‘one-size fits all’ approach to multichannel retailing.     

Google or BizRate? How search engines and comparison sites affect unplanned choices of online retailers

Recent trends in online retailing suggest that “33% of buyers often or sometimes make unplanned purchases” [Annual Retail Consumer Survey Report. Jupiter Research 2003.]. Findings based on online retailing trends also suggest that both search engines and infomediaries are beginning to play a strong role in leading consumers to online retail sites. Additionally, some practitioner studies find that about half of online consumers use comparison shopping sites before choosing a retailer. Retailers therefore need to understand whether search engines or infomediaries play a stronger role in bringing unplanned consumers. This is the issue that we investigate in this research. Our results indicate that, retailer and consumer factors, category characteristics and the consumer's past relationship with the retailer do play a role in the store choice decisions of online consumers. Between search engines and infomediaries, however, search engines play a far stronger role than infomediaries. The effect is, in fact, more than twice that of infomediaries.     

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.     

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.     

What factors determine e-satisfaction and consumer spending in e-commerce retailing?

Evidently, the Internet has resulted in a fundamental shift in retailing practice, creating a shift in both consumer and business behavior, which has been compared to that of the Industrial Revolution. The purpose of this paper is to analyze customer satisfaction in e-commerce market. In particular, we determine the factors that affect customer e-satisfaction and the relationship between customer satisfaction and consumer spending in e-commerce retailing. We focus on how American based e-commerce firms are impacted by these developments and how marketing practices have reflected the developing e-commerce situation. The results show that customer satisfaction does have an impact on consumer spending in American based e-commerce retailers. Further, the relationship between customer satisfaction and consumer spending is positive, where higher e-satisfaction results in more spending in e-commerce. The results also show that there is a direct relationship among e-service quality, e- satisfaction and e-loyalty in terms of online spending by consumers. However, the analysis shows that e-commerce still faces challenges compared with traditional offline retailers since customers cannot feel and try the products, and may end up choosing the products that they do not want.     

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.     

Future fantasies: a social change perspective of retailing in the 21 century

Experts expect great retailing changes in the next ten years. What do consumers expect? With increasing innovation in retail technology and the large-scale implementation of e-commerce formats, shifts in consumer behavior can be categorized as social change. Sociologists have long studied the interaction of social change and technology, focusing on society members’ characteristics to help predict the future. One characteristic of enduring influence is age. In this research note, we consider consumer expectations regarding the evolution of retailing, with an emphasis on expectations of social change and the variance of such expectations by age cohort.     

Sensory Aspects of Retailing: Theoretical and Practical Implications

Sensory elements are an important aspect of both offline and online retail stores and can non-consciously influence consumer judgments and purchase behavior. In offline settings, ambient factors like scent, lighting, and music have been shown to influence customers’ shopping experiences and their buying behaviors. For online retail outlets, sensory factors related to color, display patterns, and layouts can have significant effects on consumer behavior. Sensory elements have strong managerial relevance since they can non-consciously influence behaviors and because they are relatively easy to change; for example, it requires minimal effort to change the lighting or the music at a physical retail store or the display pattern for an online store. The eight papers in this special issue address theoretical and practical issues related to how different sensory elements can strongly influence retail practices. These papers focus on underexplored topic areas and also on emerging technologies, which stimulate thoughts for further research in these areas.     

Impact of movie-watching on cross-selling revenue in shopping malls: Implications for post-pandemic recovery

The COVID-19 pandemic has prompted consumers to postpone in-store purchases and shift to online shopping, decreasing overall retail spending. As the global lockdown eases and shoppers return to offline stores and malls, shopping malls seek to facilitate in-store consumer experiences at entertainment facilities. Given the importance of entertainment facilities to the cross-selling revenue of shopping malls, we investigate the relationship between consumers' movie-watching and subsequent (hedonistic) grocery purchases. Our analysis of a panel database that includes transaction details at the consumer level shows that movie-watching is negatively correlated with consumer spending. Furthermore, consumers’ psychological states induced by content and contextual factors moderate the negative effect of movie-watching; after watching a fantasy (as compared to thriller) genre or watching a movie in a less crowded theater, consumers are more likely to make hedonic purchases at the supermarket. These findings provide theoretical and managerial implications for retail operators exploring cross-selling opportunities post-pandemic.     

“互联网+”还是“回归实体”？——消费模式与零售企业战略选择

互联网与移动互联网技术迅速发展，带动了许多实体零售企业投身于电子商务的创新实践，但也不乏亚马逊、阿里巴巴等网络零售企业通过投资、并购等方式积极涉足实体零售企业。文章试图解释企业进行不同战略选择的原因，采取“互联网+”或是“回归实体”的依据。在分析互联网对零售企业影响的基础上，文章建立了包括消费者与零售企业在内的一般均衡模型，分析了消费者选择不同零售企业的依据，以及零售企业的应对之策。分析结果表明，消费者在不同零售商店的相对支出比例取决于零售商店提供服务组合的相对效率。因此，基于“有限商圈”与“有限品类”的经营战略成为企业扩大销售收入的关键，现网络零售与实体零售战略选择本质上可以归纳为品类专业化与区域专业化之间的收益比较。