A Decision Model for E-commerce-enabled Partial Market Exit

Struggling retail chains often try to recover profitability by closing some of their stores. The challenge in this strategy lies in determining how many stores to close, as store exit has implications for both the customers and the supply chain. After a store closes, its customers are lost forever to the competition, unless there is a surviving open store nearby or an electronic alternative such as an e-store. From the supply chain perspective, after a store closes, its supporting regional distribution center is left with less business, and thus reduced viability. This paper develops a decision support model to study the profitability of alternative retail network structures by varying the proportion of stores that are closed, the average price sensitivity of demand, the price difference between the online store and the traditional retailers, and customer retention rates.     

Implementing online store for national brand competing against private label

We propose a game-theoretic model in three contexts. First, only the national brand (NB) is offered through a traditional retailer. Second, the private label (PL) is introduced by the traditional retailer. Finally, the NB's manufacturer opens an online store. We reassess the benefit of introducing the PL and investigate the profitability of implementing an online store. We found that the retailer is not always enjoying the PL's introduction. Also, the manufacturer could benefit from that strategy. The quality differential between the NB and the PL, the PL's potential and the cross-price competitions are all important factors to determine the result of PL's introduction. Hence, the manufacturer opens the online store either to counter the threat of such strategy or to expand his market.     

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.     

An exploratory investigation into e-tail image attributes important to repeat,internet savvy customers

This paper offers results from an exploratory study investigating e-tail store image attributes important to repeat, internet savvy customers of a major Australian grocery e-tailer. The study was undertaken in response to a perceived need on the part of the e-tailer for a better understanding of how image operated on-line, and a review of extant literature which indicated that while retail store image in traditional bricks-and-mortar environments had been extensively investigated; limited empirical work involving consumers had been undertaken within the e-tail environment. Three components incorporating traditional and e-tail specific attributes were identified; core demands, institutional factors and information.     

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.     

Multichannel marketing: Mindset and program development

Individual consumers have quickly embraced the practice of using a variety of channels through which to make their purchases, as 65-70% of them are multichannel shoppers. Indeed, multichannel shoppers (defined as those who utilize a variety of different purchasing channels, including bricks-and-mortar stores, the telephone, and the Internet) are now in the majority, and spend significantly more than single-channel shoppers. Given this reality, it is critical that organizations adopt a multichannel mindset and effectively employ a multichannel marketing program, as these can enhance profitability, the customer experience, and customer satisfaction. It is the aim of this article to provide firms with guidance in developing an effective multichannel mindset and in designing a multichannel marketing program for serving end-consumers in business to consumer (B2C) situations.     

The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explore if and how these drivers change when multi-channel shoppers gain online grocery shopping experience. We investigate this question with an online store choice model using purchase data of an extensive UK household panel over a two-year period, covering all multi-channel retailers in the grocery market. Our results show that multi-channel shoppers, at the start of online grocery shopping, tend to select the online store belonging to the same chain as their preferred offline store, especially when the online store is strongly integrated with the offline store in terms of assortment. When online grocery shopping experience increases, multi-channel shoppers’ focus shifts from a comparison within a chain across channels to a comparison across chains within the online channel, resulting in an increasing importance of online assortment attractiveness and online loyalty when choosing an online store.     

Japanese Supermarket Chains and Labour Costs- Part 1:

Japan is often alleged to have an outdated and inefficient retail system. Detailed studies are needed to underpin these allegations. In this paper we do this for the retail sector of supermarkets. We study 18 Japanese supermarket chain store corporations. Characteristics of Japanese supermarkets are given in an historic overview. A labour cost relationship is estimated with data of 918 establishments. This relationship has already been established, tested and confirmed in many studies on European retailing. In part 1, we show that Japanese chain store corporations diversify in assortment composition as well as in service level. In part 2, labour costs of Japanese supermarkets are studies in more detail. We find statistical support for higher labour costs by more use of part-time employees, higher service level and village based stores. Furthermore, we compare labour costs of Japanese supermarkets with labour costs of French variety stores, supermarkets and hypermarkets. We find no differences in labour costs between Japan and France.     

Social Contagion and Customer Adoption of New Sales Channels

We develop and test hypotheses regarding the role of social contagion in customer adoption of new sales channels. We examine two aspects of social contagion (local contagion and homophily) and two channels (Internet and bricks-and-mortar store). Drawing on diffusion theory, we propose a conceptual framework that identifies the factors associated with new channel adoption. Using longitudinal data from a major catalog company and a discrete-time hazard model, we find that (1) social contagion plays a major role in the adoption of new sales channels, (2) both local contagion and homophily influence channel adoption, (3) longer-tenured customers are less influenced by social contagion, and (4) adoption of the Internet channel is more influenced by social contagion than adoption of the bricks-and-mortar store. Managerially, our results suggest that marketing programs that encourage social contagion, for example, word-of-mouth campaigns, be targeted based on both physical and socio-economic proximity, and that such campaigns will play a bigger role in the adoption of new-to-the-world channels.     

Online Shopper Motivations, and e-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies

e-Stores and online shopping have become important aspects of a retailer's strategy. Previous research suggests that online shoppers are fundamentally different from traditional offline shoppers. However, based on the Big Middle Theory (Levy et al. 2005), the authors believe that there are segments of online shoppers that are very similar to regular shopper groups. To determine this, online shopping motivations and e-store attribute importance measures are separately used as the basis to develop online shopper typologies. Results reveal that there are more similarities than differences among traditional and online store shoppers. However, there are a few unique shopper types present at online stores, attracted by the distinctive characteristics and attributes of the online retail environment. The findings offer interesting implications for online retail strategy.     

The Role of Customer Factors in Multiple Store Patronage: A Cost-Benefit Approach

This paper is concerned with the use of multiple stores by supermarket customers. It relates the number of stores patronized to a set of customer factors under a unifying theoretical framework emphasizing cost-benefit analysis. Respective hypotheses are tested in a large random sample. This study is a first attempt to empirically address the structure of multiple store patronage. It is demonstrated that multiple store patronage is affected by variables such as customer income, satisfaction, and expenditure that are suggestive of heterogeneous cost-benefit tradeoffs and opportunity costs of time. It is shown that customers are intrinsically different in the predisposition to being loyal. In this respect, store patronage is a continuum between single store loyalty and use of several different stores, on which customers vary depending on individual preferences. The empirical analysis also suggests that exclusive patronage of the favorite store arises from two observationally equivalent latent segments that differ in their inclination to remain loyal. The results yield valuable insights into the structure of store patronage and lead to important implications for retail managers. Several extensions are considered. A broad set of research questions surrounding store patronage can be considered from a cost-benefit viewpoint in the sense that consumer decisions in this area involve trading off economic resources against assortment, spatial and temporal benefits.     

Does the digitalization of retailing disrupt consumers’ attachment to retail places?

This study breaks new ground in the marketing domain by extending the concept of place attachment to the study of the online retail environment. We provide empirical evidence that consumers can establish strong attachments not only with traditional offline places but also with online retail stores. Moreover, we assessed how distinct dimensions of the place affect the formation of consumers’ attachment and their behavioral loyalty. Our findings show that while consumers who feel a strong sense of attachment toward the place engage in spreading positive word-of-mouth regardless of the environment, their attachment to the store does not prevent them from switching to another provider, especially in the online environment.     

The Impact of Store-Price Signals on Consumer Search and Store Evaluation

Always low price (ALP) and low price guarantee (LPG) are store-price signals that retailers frequently use to induce favorable store-price image and discourage consumers from comparing prices across stores. Although both policies signal low prices, only LPG is an obligatory promise to beat rival stores’ prices. Results of two shopping simulations show that when consumer search costs are relatively low, ALP may effectively discourage consumer search whereas LPG may trigger more search. Paradoxically, consumers tend to evaluate ALP stores less favorably (as having lower integrity and higher self-serving intention) than LPG stores even when both signals appear to be credible. These findings suggest that LPG is a superior tactic for creating a favorable store image while ALP is more effective for discouraging consumer search. The results also indicate that consumers visit fewer stores when the LPG is not a credible signal of lowest market price than when it is credible. This is because consumers are inclined to either claim discounts or refunds at the non-credible LPG store or to purchase at the competing store with a lower price rather than continue searching.     

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.     

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.     

Exploring the Effect of Store Characteristics and Interpersonal Trust on Purchase Intention in the Context of Online Social Media Marketing

This article explores the effect of store characteristics and interpersonal trust on formation of attitude and intention to purchase from online stores in the context of online social media marketing. Store Brand Knowledge, Store Reputation, Perceived Store Size, and Perceived Store Risk have been considered as antecedents of trust. Based on existing literature, a conceptual model is proposed and empirically tested with a sample (n = 424) of online social media users with the help of partial least square path modeling. This study is among the very few empirical investigations done in the context of trust in online social media marketing and focuses only on consumer-perceived store-controlled factors as antecedents of trust.     

Influence of congruity in store-attribute dimensions and self-image on purchase intentions in online stores of multichannel retailers

Online stores of multichannel retailers continue to lag pure internet retailers with reference to consumers' shopping intentions and sales. This study develops and tests a framework in which (a) trust and attitude (conceptualized as a second-order construct with hedonic and utilitarian dimensions) influence purchase intentions, (b) congruity between the multichannel retailer's land-based and online stores (conceptualized as a second-order constructs made up of seven dimensions: aesthetic appeal, navigation convenience, transaction convenience, atmosphere, service, price orientation, and security) influences trust in and attitude toward the online store, and (c) congruity between consumers' self-image and perceived image of the online store influences trust in and attitude toward the online store. The findings provide robust support for the framework and have strong implications for theory and practice.     

How product representation shapes virtual experiences and re-patronage intentions: the role of mental imagery processing and experiential value

Despite the lack of physical contact, innovative technologies in online stores are able to engender compelling virtual product experiences. The primary objective of this study is to clarify the mechanisms through which these virtual product experiences occur. The study proposes and tests a model in which mental imagery processing and consumers' perceptions of experiential value function as potential mechanisms through which virtual experiences in online stores are established, thereby determining re-patronage intention. The model was tested in an experimental study investigating two versions of a fast fashion online store that varied in terms of product representations: dynamic (i.e., a mix-and-match feature allowing the creation of visual images of apparel combinations) and static (i.e., rigid pictures). A sample of 660 valid cases involving individuals of Generation Y (born in 1977–1994) was obtained. The structural equation modeling technique was used to analyze the proposed research model. The results indicate that the dynamic mix-and-match technology arouses more mental images of physical product interaction than do static pictures. Moreover, mental imagery processing can be considered an important underlying source of online experiential value, which consumers subsequently exploit with repeated visits to the online store. By introducing psychological constructs such as mental imagery and perceived value, this study augments prior research on online product experiences by proposing and validating the underlying mechanisms through which the way of representing products affect consumer responses. Finally, both theoretical and practical contributions of the findings are discussed, as well as directions for further research.     

Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment

A crucial decision firms face today is which channels they should make available to customers for transactions. We assess the revenue impact of adding bricks-and-mortar stores to a firm's already existing repertoire of catalog and Internet channels. We decompose the revenue impact into customer acquisition, frequency of orders, returns, and exchanges, and size of orders, returns, and exchanges. We use a multivariate baseline method to assess the impact of adding the physical store channel on these revenue components. As hypothesized, store introduction cannibalizes catalog sales and has much less impact on Internet sales. Also as hypothesized, returns and exchanges increase. Interestingly, transaction sizes of purchases, returns, and exchanges do not change. The “availability effect” produces a net increase in purchase frequency across channels. This more than compensates for increased returns, producing a net increase in revenues of 20% by adding the store channel. Our findings yield a deeper understanding of the revenue relation between channels, and of the dynamic cross-channel effects of marketing actions.     

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.