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This study seeks to explore the idea that consumers select a particular shopping mode – i.e. bricks and mortar versus online outlet – based on their perceptions about whether a product or service is best bought from one or the other. It aims to posit that this perception is associated with the importance allocated to various shopping motivation dimensions.

Data for this study were collected using a self‐administered mail survey from 689 internet‐enabled US households. They represent a 28 percent response from 2,500 households that received the survey. Extensive non‐response analysis ruled out serious bias in the data.

The results from this empirical study suggest that different shopping motivations indeed influence perceptions of service type and shopping mode congruence differently. In addition, the results also suggest that services are more likely to be associated with the online shopping mode, whereas more tangible products are likely to be associated with bricks and mortar stores.

The findings have significant implications for services retail managers of both bricks and mortar and online service outlets in the areas of segmentations, targeting, and retail mix strategies. Apparently, consumers also tend to group related services or products into homogeneous shopping baskets based on their perception of congruence between the product or service and the shopping mode – online versus bricks and mortar store. These findings should help a manager plan for retailing mix strategies, catering to various shopping motivation dimensions, thus enhancing consumer satisfaction. In addition, the results hold important implications in the areas of segmentation and targeting decisions.

The state of interactive digital technology is evolving rapidly and has shifted the ways in which customers shop dramatically. This trend heightens the need for research that examines the latest interactive digital technology tools adopted in fashion retailing. In response, the purpose of this paper was to examine fashion retailers’ incorporation of new interactive digital technology – in both online and offline retailing formats, and including new hybrid contexts – and its results in providing new experiential quality that contributes strongly to engage with customers.

The paper first reviews the literature and then proposes the research questions. This is followed by exploratory substantiation of those propositions with the findings from case studies that examined the new interactive digital technology implemented by six leading fashion retailers.

Various digital technology tools implemented in brick-to-click, click-to-brick and brick-and-mortar retailing offer customers a variety of experiential qualities that allow them to co-create products, engage in emotion-driven sensational and personalized shopping experiences and seamless shopping virtually, all of which derive from interactive digital technology implemented to enhance customer engagement.

This research examined the implementation of interactive digital technologies across the full spectrum of the fashion retail settings above. This paper makes an original contribution by adopting a customer-centric perspective and assessing the advantages technology provides to customer’s engagement quality in shopping, which differs from the traditional firm-centric perspective that views technology as a way to innovate retailers’ operations.

The purpose of the paper is to examine the benefits delivered to traditional retailers from using shopping portals as their entry mechanism to the online trading environment. The paper also aims to highlight the possible drawbacks inherent in such an approach.

A case study approach was used with an online portal, combining documentary analysis and semi‐structured interviews, using a team‐based interviewing approach. This facilitated the development of a multi‐layered picture of the organisation.

Using a shopping portal delivers several benefits to traditional retailers in terms of marketing synergies, site traffic generation, access to web site management and fulfilment services, and the ability to offer customers a multi‐channel retailing experience. Drawbacks may include partner interdependence and turnover, restricted organisational learning and restricted delivery capabilities.

Highlighting the benefits and drawbacks of shopping portals generates guidelines that traditional retailers can consider to help them decide whether such portals are the right choice for their individual firm or not.

This paper expands the literature on the phenomenon of the online portal by demonstrating its potential as a mechanism for traditional retailers to engage in electronic retailing.

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.

Online retailing changes all retail systems significantly. The growing importance of online sales requires the creation of new fulfillment models. The purpose of this paper is to investigate how retailers develop from separate multi-channel (MC) to integrated omni-channel (OC) fulfillment. OC retailing has an integrated perspective, with seamless interactions between online and bricks-and-mortar channels.

More than 60 internationally active retailers and experts from Germany participated in an exploratory survey. With a response rate of 40 percent the authors achieved the goal to adequately depict the German MC and OC retail market. It is currently the largest empirical study of MC and OC fulfillment.

It is the first study to comprehensively analyze the logistical development options open to retailers for integrated fulfillment. The authors discuss the conceptual development options and formulate propositions for an advanced OC fulfillment approach. OC retailers aim to pool their organizational units for fulfillment via different channels. Retailers with multiple channels develop their warehouse systems toward channel-integrated inventory enabling flexible and demand-driven inventory allocation. Retailers with channel-integrated inventory also organize their picking procedures in one common zone. The higher the outlet density, the more it becomes beneficial for retailers to introduce pick-up services.

The research is based on insights from retailers and experts from companies based in Germany.

The findings provide an insight into designing OC fulfillment and distribution structures. The concepts themselves, archetypes, challenges and development paths are analyzed. Identified logistics levers can be adjusted to pinpoint the steps required to advance integration.

The authors contribute by deriving propositions and a framework for transitioning from basic MC to integrated, extended OC logistics. Because this research area is still comparatively young, the authors take a more comprehensive, exploratory view of OC fulfillment.

An omni-channel is a retailing strategy that the behavior of companies adopts many retail channel types to combine and integrate cross-channel sales to meet the comprehensive needs of customers in shopping, entertainment and social networking both online and offline. This leads to several research questions of retailing omni-channel in this study. First, do channel brand trust (CBT) and store image (SI) affect re-patronage intentions through customer satisfaction (CS)? Second, regarding online rating (OR) and online involvement (OI), will CS be determined by consumer perception as well as the relevance of those attributes to the customer's re-patronage intentions? Third, do OR and OI have a role in exploring the moderating effect in the research model? Fourth, if there are positive effects from this relationship, it can generate a positive power return online. In addition, online-to-offline moves on a path for case firm omni-channel with customers' OR and OI with a reciprocal positive influence.

This study aims to investigate the relationship between CBT, SI, CS and re-patronize intention in an omni-channel. By using structural equation models (SEMs), this study aims to investigate offline-to-online and online-to-offline re-patronizing in the Taiwan Chunghwa Telecom (CHT) omni-channel (N = 1,642). Two moderated mediation models are investigated in this study.

This study first found that CBT and CS use SI to influence re-patronize intention in the omni-channel. SI plays a mediating role in this process; OR and OI influence the relationships of CBT, CS and re-patronize intention with two moderating roles.

This study first found that there is a reciprocal way with two paths in an omni-channel, starting with offline-to-online, in terms of confirming the relationship of CBT, CS and re-patronize intention in an omni-channel. There are positive effects from this relationship, and it can generate a positive power return online. In addition, we found that online-to-offline moves on a path that has a stronger influence of re-patronize intention for omni-channel with customers' OR and OI.

The purpose of this paper is to investigate consumer responses to online retailer service recovery remedies following a service failure and explores whether the phenomenon of the service recovery paradox exists within the context of online retailing.

This paper reports on the results of two studies. Study I explores the main and interaction effects of the various dimensions of service recovery justice (i.e. distributive justice, procedural justice, and interactional justice) on customer satisfaction, negative word‐of‐mouth (WOM), and repurchase intention based on the justice theory. Study II investigates whether the phenomenon of the service recovery paradox exists (i.e. whether customers have higher satisfaction, higher repurchase intention, and lower negative word‐of‐mouth after experiencing an effectively remedied service failure as compared to if the service failure had not occurred). A laboratory experimental design is used to test the research hypotheses.

The results show that distributive justice, procedural justice, and interactional justice have a significant positive influence on customer satisfaction. Among the three dimensions of service recovery justice, only distributive justice has a significant positive influence on repurchase intention, and only interactional justice has a significant negative influence on negative WOM. Additionally, both the interaction between distributive justice and procedural justice and the interaction between distributive justice and interactional justice are found to significantly influence customer satisfaction, negative WOM, and repurchase intention. The results also indicate that the service recovery paradox does not appear to exist in the online retailing context.

The findings will allow online retailers to develop more effective strategies for preventing service failure and improving customer satisfaction, negative WOM, and repurchase intention.

This study contributes to the understanding of consumer responses to online retailer's service recovery after a service failure.

The purpose of this paper is to provide a framework to help business marketers with a mixed online and traditional retail channel (multi‐channel company) to find the optimal pricing strategy and market structure in order to maximize their profits.

A game theory model is developed to determine the optimal pricing strategy for the multi‐channel company.

It was demonstrated that an optimal pricing strategy exists under different market structures for a multi‐channel company. When a company uses multiple channels to sell its product, the optimal pricing strategy is to use a low‐high pricing strategy if the online marginal cost is equal to or less than the traditional marginal cost, or a high‐low pricing strategy if the online marginal cost is far larger than the traditional marginal cost. Furthermore, in order to maximize its profit, the company using multiple channels should adopt channel integration as the optimal market structure.

The present study assumed that all consumers have perfect information. However, information with the consumers could be incomplete. It is recommended that future research explore the pricing strategy under incomplete information settings.

The paper provides a very useful model framework, pricing strategy, and market structure for business managers who are using or planning to use multiple channels to sell their products.

This paper fills a conceptual and practical gap for a structured analysis of the current state of knowledge about multi‐channel pricing strategies. It provides practical and solid advice and examples demonstrating the application of the different types of pricing strategies for business managers.

Plus-size women represent a large consumer segment that has grown in popularity with the fashion industry, retailers and advertisers. Despite advancements in clothing availability for plus-sized women, the shopping experience for these women (compared with that of straight-size women) often still falls short. The current experience leaves plus-sized women feel like a second-class, minority group despite the fact that the majority of women in USA are considered plus-size. The purpose of this study was to assess how US-based, value- and mid-market online clothing retailers position their plus-size female clothing sections in their site navigation.

This study assessed the websites of N = 68 popular plus- and straight-sized US-based, value- and mid-market retailers to evaluate the placement of, and options available in, their plus-sized clothing sections.

Findings revealed that the majority of retailers completely separated out the plus-sized section from the straight-sized section and that the language used to describe plus-size clothing was body-focused (versus clothing-focused for straight-size clothing sections). Theoretical and practical implications for marketers, advertisers and retailers are discussed.

This is the first study to assess the separation of plus- and straight-sized clothing sections in online retail spaces. As brands begin to consider combining plus- and straight-sized clothing sections (see Old Navy), it is important to assess how wide-spread the separation of sections currently is in online retail environments.

Mobile self-checkout refers to scanning products using a mobile device inside a brick-and-mortar store and completing the checkout process on mobile devices. Even though mobile self-checkout has been used in other industries for several years, it is a new application in the fashion industry and only limited numbers of retailers have implemented mobile self-checkout in their stores. The purpose of this study is to understand consumers' acceptance of mobile self-checkout in fashion retail stores by analyzing determinants of using a new system.

Part of the Unified Theory of Acceptance and Use of Technology (UTAUT) was used as a theoretical framework. Openness to experience, variety seeking and adventure shopping were added to the model. Empirical data (with 229 valid responses) were collected from the top 20 metropolitan areas in the US via Qualtrics Panel services. Exploratory factor analysis, confirmatory factor analysis, structural equation modeling and multi-group moderation were used to estimate construct validity and test the proposed hypotheses and theoretical framework.

The results indicated that consumers' intentions toward using mobile self-checkout in fashion retail stores were predicted by facilitating conditions, social influence and openness to experience. Moreover, consumers' previous experience of using mobile self-checkout in fashion retail stores moderated the path from facilitating conditions to behavioral intention and the path from social influence to behavioral intention. In addition, different genders and smartphone usage frequency did not vary significantly on the model paths.

The findings show how fashion retailers can understand consumers' preference and their willingness to use mobile self-checkout in fashion retail stores. Moreover, the authors addressed ways for fashion retailers to promote mobile self-checkout in the future.

As a new technology in the fashion industry, literature is deficient concerning consumers' intention to adopt mobile self-checkout. This research provided suggestions for fashion retailers about adopting and improving acceptance of mobile self-checkout. Results will lead to theoretical and managerial implications for future technology development.