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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.

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.

Despite retail digitisation and research efforts focussed on online and omnichannel shopping, there is insufficient knowledge regarding retail patronage formation in the grocery category, where in-store sales dominate. This study analyses the retail patronage formation in grocery in-store fill-in shopping.

The authors designed a questionnaire to measure retail patronage behaviour, consumer satisfaction (CS), store attributes evaluation and e-retail usage. Then, the authors analysed the path structure for retail patronage behaviour formation using structural equation modelling. Additionally, they performed a mediation analysis using the bootstrap method and a moderation analysis based on a chi-square difference test.

This study provides three main findings. First, the authors' model has two ways to increase Share-of-Wallet (SOW). One is to increase Share-of-Visits (SOV) and another is to increase CS amongst non-users of e-retailing. Second, the results of the moderation analysis suggest the influence of customers' use or non-use of e-retailing on SOW formation. Third, service evaluation plays an interesting role in the overall model: the lower the assessment of service, the higher the SOV; the higher the evaluation of service, the greater the CS; the greater the CS, the higher the SOV.

The authors proposed the framework for the relative retail patronage formation in grocery fill-in shopping to examine the relationship between two relative patronage indicators (SOW and SOV) in the path structure and the mediating effect of CS and the moderating effect of e-retailing usage on retail patronage formation.

The case is written based on publicly available data from primary sources like the company’s annual reports and presentations and from secondary sources, as indicated in the references.

Barnes & Noble Inc. (B&N), one of the oldest and largest American retail booksellers founded in 1917, was facing a grim business situation underpinned by a fall in demand, a change in consumer preference and stiff competition. After almost a century of being in the business, B&N was experiencing a fall in market share and weak stock market performance. In 2019, the company was sold to Elliot Advisors – a hedge fund – for US$638m. With the appointment of new chief executive officer (CEO) James Daunt in August 2019, a man known for the turnaround of similar businesses, B&N expected its business’s revival and reorganization strategy to turn profitable. Its long-term strategy of beating competitors with its offerings’ sheer volume and low prices was no longer viable. The turmoil was compounded by top management crises with the repeated changes and ousting of several CEOs in a short span, alongside the COVID-19 pandemic and subsequent lockdowns in 2020 and 2021. Daunt was considering how to overcome the crisis and act fast to reposition the company and regain the loyalty of its customers. Was there more that the company could do to improve the company’s position and restore profitability?

The case can be used in strategic management and entrepreneurship classes at undergraduate and postgraduate levels. The case can be used in an investment analysis and management course to teach students the industry analysis technique using Porter’s five forces model.

Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations.

An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises N = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account.

The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.

This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.

In the light of the case study and the accompanying case study questions, the incumbent would be able to gain a comprehensive understanding on the theoretical underpinnings of retail store expansion, identify the challenges for expanding a brand into emerging markets such as India and apply various marketing strategies aimed at in-depth analysis retail expansion. Learners can further comprehend the importance of brand communication incorporated by the brand to attract its customer subset.

It was in December 2022, when Mason Chatterjee, the Indian brand head of Armani Exchange (A|X), was confronted with the managerial dilemma whether launching the second store in the city of Ahmedabad would be a right decision. Another issue that was troubling him was how to go about launching a second store in a city which was not a home to other luxury sublabels. The case study illustrates the decisional aspect of retail expansion adopted by Chatterjee, considering the distinct managerial perspectives. Chatterjee found potential in the city of Ahmedabad, owing to an increased number of high-net-worth individuals and other macro factors. The case study is primarily an outcome of research carried out at A|X store at Ahmedabad One mall, Ahmedabad, for over a fortnight in the month of February 2023. The expansion decision of Chatterjee proved to be a success in the city of Ahmedabad reaching a sales figure of INR 1 crore (US$130,344.11) in the very first month of its launch. However, he was confronted with the managerial dilemma of further expansion, just six months after the launch of the latest expansion.

The case study is intended for advanced undergraduates or postgraduate programs in management or electives such as marketing, retail management and strategic management. It has not only been specifically designed for teaching the concept of retail expansion but can also be used to integrate contexts on brand’s merchandise mix, retail positioning, visual merchandising and brand communication. The case study has an overview of each of these elements. The instructor may choose them into the context for a wider encompassing detailed lesson or particularly on the main aspect of the case.

Teaching notes are available for educators only.

CSS8: Marketing

Regarding the retail internal supply chain (SC), both retailers and research are currently focused on reactive food waste reduction options in stores (e.g. discounting or donations). These options reduce waste after a surplus has emerged but do not prevent an emerging surplus in the first place. This paper aims to reveal how retailers can proactively prevent waste along the SC and why the options identified are impactful but, at the same time, often complex to implement.

The authors follow an exploratory approach for a nascent topic to obtain insights into measures taken in practice. Interviews with experts from retail build the main data source.

The authors identify and analyze 21 inbound, warehousing, distribution and store-related options applied in grocery retail. Despite the expected high overall impact on waste, prevention measures in inbound logistics and distribution and warehousing have not been intensively applied to date.

The authors provide a structured approach to mitigate waste within retailers' operations and categorize the types of barriers that need to be addressed.

This research provides a better understanding of prevention options in retail operations, which has not yet been empirically explored. Furthermore, this study conceptualizes prevention and reduction options and reveals implementation patterns.

This study aims to investigate the intention of adopting a technological service innovation that is a mix-mode consumer shopping service in the retailing context.

A modified extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model is tested by using data on a real example named “Mkolay” which is a new mix-mode consumer shopping service. Data are collected from 217 participants and analyzed by using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Research findings show that the customers' intention to use the new mix-mode consumer shopping service is particularly influenced by performance expectations, effort expectations, social influence and personal innovativeness.

In designing a mix-mode consumer shopping service, keeping the design as simple and easy to use as possible seems to increase the intention of adoption. Additionally, collaborating with reference figures or influencers could be instrumental to spread the new service to a wider audience hence increase the likelihood of adoption. Practitioners should also use new technologies in different ways to attract and surprise customers, especially taking into account the technological profile of potential users.

This study contributes to the literature of technological service innovation adoption by revealing the factors affecting the intention of adoption of mix-mode consumer shopping service in the retailing context with a modified UTAUT2 model.

The results indicate that land prices exert pressure on retail performance (RP) and that the enhancement of digital means has a positive effect on RP. Additionally, digital instruments (DI) play a significant moderating role in the relationship between land prices and RP.

This paper empirically examines the impact of land prices on RP using panel data from 239 Chinese cities between 2011 and 2022.

The use of lagged land prices as instrumental variables effectively alleviates endogeneity issues. Both two-stage least squares (2SLS) and generalized method of moments (GMM) regression results suggest that higher land prices are associated with improved RP. Further analysis reveals that the increase in land prices leads to scale effects, structural effects and technological effects, contributing to the enhancement of RP. The impact of land prices on RP becomes more pronounced in larger cities and economically developed regions experience the pressure from land prices earlier.

The findings of this study have practical implications for discussions on retail industry development, site selection for retail businesses and the establishment of sustainable mechanisms for expanding domestic demand.

The study aims to examine fast fashion consumers' negative in-store experiences focusing on the effect of the two store environment factors, product overload and store ambiance, on their confusion and consequent shopping avoidance behavior.

A research model of fast fashion consumers' confusion and store avoidance behavior is proposed using the Stimulus–Organism–Response framework. A pretest and the main online survey with 281 samples are analyzed, and the structural equation modeling (SEM) is conducted to test the proposed model.

The SEM results support the proposed paths statistically. Consumers' confusion, measured with the two dimensions, inefficiency and helplessness, is significantly influenced by their perceived product overload and negative perception of store ambiance in the fast fashion shopping environment. Subsequently, fast fashion consumers' confusion results in less time spent in the store.

The study sheds light on utilitarian shopping value in the fast fashion shopping environment by focusing on the fast fashion consumers' confusion in association with overloaded information caused by too many products and store ambiance.

The study implies that improving fast fashion stores' inherent issues with too many products and store ambiance might help consumers mitigate their confusion and prevent customer attrition. However, the study includes only two factors. Future studies may include other various fast fashion store factors. Additionally, one of the dimensions of confusion, irritation, did not emerge in this study. More work is needed to investigate fast fashion consumers' confusion, such as using a multigroup analysis by age.