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The advent of grocery sales through online channels necessitates that bricks-and-mortar retailers redefine their logistics networks if they want to compete online. Because the general understanding of such bricks-and-clicks logistics systems for grocery is still limited, the purpose of this paper is to analyze the internal logistics networks used to serve customers across channels by means of an exploratory study with retailers from different contexts.

A total of 12 case companies from six European countries participated in this exploratory study. Face-to-face interviews with managers were the primary source for data collection. The heterogeneity of the sample enabled the authors to build a typology of logistics networks in grocery retailing on multiple channels and to understand the advantages of different warehousing, picking, internal transportation and last-mile delivery systems.

Bricks-and-mortar grocery retailers are leveraging their existing logistics structures to fulfill online orders. Logistics networks are mostly determined by the question of where to split case packs into customer units. In non-food logistics, channel integration is mostly seen as beneficial, but in grocery retailing, this depends heavily on product, market and retailer specifics. The data from the heterogeneous sample reveal six distinct types for cross-channel order fulfillment.

The qualitative analysis of different design options can serve as a decision support for retailers developing logistics networks to serve customers across channels.

The paper shows the internal and external factors that drive the decision-making for omni-channel (OC) logistics networks for previously store-based grocery retailers. Thereby, it makes a step toward building a contingency and configuration theory of retail networks design. It discusses in particular the differences between grocery and non-food OC retailing, last-mile delivery systems and market characteristics in the decision-making of retail networks design.

The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on personalised shoppers, the perception remains the same across industries. Retail atmospherics stimuli such as design, smell and others create behavioural modifications. The purpose of this study is to explore the atmospheric effects on brick-and-mortar store performance and personalised shopper's behaviour using cognitive computing based in-store analytics in the context of emerging market.

The data are collected from 35 shoppers of a brick-and-mortar retailer through questionnaire survey and analysed using quantitative method.

The result of the analysis reveals month-on-month growth in footfall count (46%), conversation rate (21%), units per transaction (27%), average order value (23%), dwell time (11%), purchase intention (29%), emotional experience (40%) and a month-on-month decline in remorse (20%). The retailers need to focus on three control gates of shopper behaviour: entry, browsing and exit. Attention should be paid to the cognitive computing solution to judge the influence of retail atmospherics on store performance and behaviour of personalised shoppers. Retail atmospherics create the right experience for individual shoppers and forceful use of it has an adverse impact.

The paper focuses on strategic decisions of retailers, the tactical value of personalised shoppers and empirically identifies the retail atmospherics effect on brick-and-mortar store performance and personalised shopper behaviour.

While remanufactured products represent an increasingly researched phenomenon in the literature, not much is known about consumers' understanding and acceptance of such products. This study explores this issue in the context of the theory of perceived risk (TPR), investigating return policy leniency and distribution channel choice as potential factors to foster remanufactured products' sales.

This research utilizes an experimental design composed of a pre-test and a scenario-based main experiment to explore how return policy leniency might mitigate consumers' perceived risk and how their related purchase intention differs across two types of retail distribution channel structures (i.e. brick-and-mortar vs. online).

The investigation into the efficacy of return policy leniency within two retail distribution channel settings (i.e. brick-and-mortar vs. online) illustrates that providing a lenient return policy is an effective “cue” in increasing consumer purchase intention for remanufactured products. While prior literature has established that consumers value return policy leniency for new products, the authors provide empirical evidence that this preference also applies to remanufactured products. Notably, that return policy preference holds true in both channel settings (i.e. brick-and-mortar vs. online) under consideration. Additionally, and contrary to the authors’ predictions, consumers perceived remanufactured products sold via both channel settings as equally risky, thus highlighting that both are appropriate distribution channels for remanufactured products. Finally, while research on new products provides some initial guidance on consumer perceptions of quality and risk, the study provides empirical evidence into the difference of perceived risk with regard to new versus remanufactured products.

By employing the TPR, this research explored the role played by two supply chain management related factors (returns policy and channel structure) in reducing consumer's perceived risk and increasing purchase intention. In doing so, this study answers the call for more consumer-based supply chain management research in a controlled experimental research setting.

The aim of this research is to advance the understanding of multi-channel behaviour in terms of different generational cohorts' usage and spending patterns.

Building on previous studies on multi-channel behaviour, differences in shopping channel usage and purchase amounts were investigated between baby boomers, Gen X, xennials and millennials.

There were significant differences found between the generations in terms of multi-channel behaviour regarding purchasing frequency and average purchase amounts via a) mobile phone, b) tablet, c) computer, d) social media and e) brick-and-mortar. Fewer differences were found amongst the generational cohorts in terms of amount spent per channel.

The research was successful in analysing variances in multi-channel behaviour amongst the baby boomer, Generation X, xennial and millennial cohorts, while updating the body of literature to consider generational channel usage of mobile and social media in multi-channel retailing.

Marketers should consider xennials’ channel behaviour and focus on converting sales through integrated programmes based on their channel usage. Retailers should also consider millennials' heavy engagement with social media in their lives but spend lower amounts via the medium, which may be an opportunity to use this medium as a viable stand-alone channel in targeting millennials' shopping dollars.

This study updates the body of research on multi-channel behaviour by considering generation as a factor in channel usage and spend amount.

The motivation for this paper arises from the evolution of the e‐commerce which has provided new means for retailers to serve customers. Pure e‐tailers and clicks‐and‐mortars are two business models of this new paradigm. It aims to study the particularities of pure e‐tailer (Amazon.com) and clicks‐and‐mortars (Walmart) with special focus on their dot com supply chains.

Strengths, weaknesses, oppositions, threats (SWOT), the Five Forces Model and Financial Performance Metrics analyses were used to draw comparisons and contrasts between Walmart.com and Amazon.com supply chains.

The paper finds that both companies serve their customers effectively through their efficient supply chains; however, due to the infancy of e‐commerce, both business models still face important challenges.

Amazon.com and Walmart.com have different supply chain models, as well as, strengths and weaknesses. They both face the same opportunities and threats as the e‐commerce industry grows rapidly. Analysis shows how lessons from one business entity can be applied to the other in order to bring even more efficiencies to both e‐tailers’ and clicks and mortars’ supply chains.

The purpose of this paper is to examine how attitudes and subjective norms predict channel migration across the three channels based on the theory of reasoned action (TRA).

A self‐administered questionnaire was administered to the participants comprised of staff, faculty, and students from four different universities in the southern and midwestern USA. The survey instrument was administered online and a total of 503 completed surveys were obtained.

TRA was successful in predicting channel‐migration intention in brick‐and‐mortar stores, catalogues, and the internet. Utilitarian beliefs were more relevant in predicting attitude toward channel migration for all three channels. Normative beliefs for bricks‐and‐mortar stores and catalogues were significant in predicting subjective norms, the relationship was negative. Attitude and subjective norms were the predictors of the channel‐migration intention for all three channels.

These findings may not be generalizable to the study population because the sample was restricted to a small area. Additionally, the survey was administered online, which made it difficult to calculate the response rate.

The paper adds insights into the subject by examining channel‐migration behaviour using TRA.

Image interactivity allows the customer to create and manipulate visual images of a product on a Web site. We measured the effect of exposure to an image interactivity function from an apparel retailer’s Web site on approach responses towards the retailer. The image interactivity function from the Web site allowed participants to mix and match apparel product images to help determine how well they coordinated. Dependent variables used to tap approach responses were attitude towards the online store, willingness to purchase from the online store, willingness to return to the online store, probability of spending more time than planned shopping on the site, and likelihood of patronizing the online retailer’s bricks‐and‐mortar store. We employed a repeated‐measures experimental design with 103 subjects. Paired t‐tests provided empirical support for the effect of image interactivity on enhancing approach responses towards the retailer. However, differences in approach responses existed between males and females. Marketing implications were provided.

Grounded on the concept of a value trade-off, the authors of this study seek to address the question of why some people visit an offline store before purchasing online. The authors offer a novel perspective by identifying and describing the perceived value drivers (benefits and sacrifices) associated with showrooming in the context of the branded apparel segment.

Data collected from 318 showrooming customers were analysed in the context of the proposed perceived value framework using the structural equation modelling method.

The results showed that enhanced product evaluation, monetary savings, smart shopper feelings and perceived enjoyment (positively) and search costs and online risk (negatively) influenced consumers' showrooming value perceptions as benefits and sacrifices associated with showrooming. Only perceived consumption delay emerged as insignificant. As expected, perceived showrooming value was identified as an important driver of showrooming intentions.

The application of this paper's findings is limited to the branded apparel segment. The model can be tested in other sectors with a larger sample size to gain deeper insights.

The findings can be utilized by brick-and-mortar retailers to retain showrooming customers.

The authors of the current research work contribute to a better understanding of showrooming by adopting a perceived-value-based perspective, which offers an alternative yet effective route for understanding showrooming.

The purpose of this study is to analyse the level of adoption of in-store analytics by brick-and-mortar retailers. Web analytics technology has been widely adopted by online retailers, and the technology to gather similar information in physical stores is already available. This study explores how such technology is valued and adopted by retailers.

This study is based on interviews and a focus group of 21 retail executives using a semi-structured interview methodology. An in-store analytics service was defined, along with specific key performance indicators (KPIs) and use cases to structure respondents' feedback.

Although noteworthy differences have been found in the value of KPIs and use cases by type of business, the main finding is that none of the respondents reached the stage of a brick-and-mortar data-driven company. In-store analytics services are in the early stages of Rogers' (1983) model of diffusion of innovations. Three main reasons are presented: lack of technology knowledge, budget priority and a data culture inside the companies.

The results should encourage scholars to further investigate the drivers accelerating the adoption of these technologies. Practitioners and solution providers should strive for improvement in the simplicity of their solutions.

This study is the first to analyse the level of adoption of in-store analytics from the perspective of retailers.

The emergence of new social media is shifting the market place for business towards virtual market space. In the light of the emerging digital space for new forms of marketing, the traditional servicescape concept is critically examined. This paper aims to show why servicescape concepts and attitudes need to be adapted for digital media.

First, the authors explain how the traditional servicescape concept adds meaning to a service provider’s value-proposition by modifying customer expectations and customer experience. Second, recognising that the environment for service is no longer bound to a physical place, the authors discuss the implications of the epistemic shift involved.

The authors’ examination shows that digital service space challenges traditional concepts about what constitutes a customer experience and derived value. The authors conceptually “zoom out” into a virtual service eco-system and show with exemplar examples why the servicescape in digital space is more socially embedded and necessarily more fluid in its time-space design. In the more advanced sites, interactions between various artificial bodies (avatars) are co-created by controlling off-line participant-actors; yet, these participant-actors remain strangers to each other at an off-line level. This is entirely a new and radical development of old times.

The research findings are based on scholarly research of the relevant literature, from practitioner reports, and evidence emerging from the examination of many digital web-sites. It has not been the authors’ intention to objectively represent current servicescape functionalities but more to indicate the major directions of change with exemplar examples. The future cannot be predicted, but their interpretive conclusions suggest major challenges in service marketing and management logic ahead. New forms of digital servicescape are still being created as technology and service imagination enables, so further research interest in virtual atmospherics can be expected.

Social media platforms are enabling organisations to learn more about their customers and also to engage them more. In these changing times, bricks and mortar stores would be well advised to review their servicescape presence to allow and encourage engagement with the more involved consumers. And, by integrating their digital space into their physical place, bricks and mortar stores might take on more relationship oriented process-like characteristics, both in the digital space and in their physical places, with developments on one platform leading to possible service innovations on the other.

The digital era is changing consumer behaviour. Service managers need to take into account that many customers are already equally as engaged with digital-space social networks as they once were with bricks and mortar stores. The more time consumers as participant-actors spend in social networks, the decision on what and where to buy is decided by interactions with friends and other influencers.

New forms of digital servicescape are being created as technology and service imagination enables. Further scholarly research interest in virtual atmospherics can be expected, impacting on the authors’ sense of place, and self-identity.