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This paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.

This paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.

The proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.

The proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.

This research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.

This is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.

The purpose of this paper is to identify the realignment of the physical distribution process for store-based retailers in their efforts to integrate the online channel into their business model. Multiple attributes of the physical distribution process are evaluated to identify associations with order fulfillment methods adopted by omni-channel retailers.

A multi-method approach is used which includes qualitative evaluation of 50 interviews of supply chain executives from large retailers. Additionally, secondary data about firm size, store and distribution networks, online sales, distribution configuration, and order delivery options are used. The findings of qualitative analysis are incorporated into a quantitative classification-tree analysis to identify associations among distribution attributes, order fulfillment methods and order delivery services.

Retailers are developing a consistent omni-channel physical distribution process in which stores undertake a bigger role in order fulfillment and delivery. Level of online sales, size of distribution network, number of sales associates at a store, and number of years engaged in the online channel are identified as having strong associations with the type of order fulfillment method used by omni-channel retailers. The study finds that retailers are focussed on integrating their store and DC inventories and have the benefit of scale with a large store network.

Retailers are reconfiguring their physical distribution processes in the complex omni-channel environment can use the findings of this study to evaluate their strategy and identify the level of realignment effort that is needed. A better understanding of the requirements of physical distribution in an omni-channel setting will guide retailers in developing requisite operational capabilities.

This paper provides a first in-depth look at order fulfillment choices in omni-channel retail and identifies efforts that are underway to realign key elements of the physical distribution process.

This study aims to investigate the moderating effects of brick-and-mortar (BM) store characteristics and customer satisfaction on the relationship between ship-to-store (STS) retailing and BM store performance in an emerging economy. The purpose is to explore how BM store characteristics and customer satisfaction influence online buying behaviour when customers visit the stores to pick up their products.

This study collected secondary longitudinal data from 615 BM stores from one of Brazil's largest retailers and performed a panel-data regression analysis using the following moderating variables: customer satisfaction with BM stores, BM store's size, convenience and inventory transparency.

Customer satisfaction with BM stores moderates the effect of STS transactions on the revenue per store. Results also show that BM store's convenience, size and inventory transparency moderate STS online customers' impact on BM store cross-sales.

The STS strategy can increase online and BM store performance. Some BM store characteristics and customer satisfaction influence online customers to buy more products when they visit BM stores to pick up their products, providing a more complex model for the relationship between STS strategy and BM store performance.

Companies in emerging economies can use the BM store more strategically in combination with the STS strategy to increase overall retailer performance. By managing some BM store characteristics, managers can improve retail sales.

This study demonstrates how new moderating factors expand the understanding of the relationship between online and physical retailing in emerging economies. Also, the panel data regression results control for extraneous variables and provide more robust evidence of the relationships observed.

To examine the effectiveness of a multichannel strategy, this study mainly investigates two issues: (1) whether customers' five value perceptions (i.e. product quality, service quality, innovation, price and store image) extend from e-stores to physical stores and (2) whether customers' five value perceptions derived from e-stores/physical stores facilitate purchase intention within and beyond the channel context.

This study develops a research model to elaborate on the relationships between the focal constructs and collects 177 useable responses via an online community and personal contacts survey. Partial least squares structural equation modeling (PLS-SEM) methods and mediation analyses are conducted to validate the proposed hypotheses.

The results show that the values perceived in e-stores/physical stores generally motivate online/offline purchase intention, respectively. Next, based on Tversky's belief/feature matching process, the five value perceptions correlate with their counterparts across online and offline channels. The results of the mediation analyses suggest that the advantages established in online channels may be contagious to offline channels at the belief level. Specifically, four of the five online value perceptions may have different effects on offline purchase intention: (1) product quality perceived in e-stores directly (negative) and indirectly (positive) results in offline purchase intention, demonstrating cannibalization effects and (2) service quality, innovation and store image perceived in e-stores indirectly and positively contribute to offline purchase intention, indicating synergetic effects.

The findings of this study provide several important theoretical and practical implications for multichannel and omnichannel retailing strategies.

Drawing on open systems theory, this study aims to investigate the direct and moderating effects of information collaboration in the pre-sale stage, transaction management collaboration in the transaction stage and customer service collaboration in the post-sale stage on the linkages of the online–offline store image and the market performance of small sellers.

Data were collected from multiple sources, including self-reported and online objective data from 148 small restaurants that simultaneously sell online and offline, for validating the developed research model. Partial least squares-based structural equation modeling was used for data analysis.

This study illustrates the direct effects of an online store’s image and online–offline collaborations on the market performance of small stores. This study further reveals the boom-bust moderating effects of different collaborations between online–offline images and market performance.

Small stores should be aware of the importance of information congruence and functional integration concerning online–offline collaboration. They should also recognize the paradoxical intervening effects of online–offline collaboration on different channels and arrange appropriate collaboration tactics.

This study presents a significant contribution to the open systems theory by revealing both constructive and destructive properties of the online–offline collaborative system with offline-to-online targeting. Vertically differentiated online–offline collaboration may strengthen one side of the store image but weaken the other side for promoting the market performance of small stores.

Innovations in technology and evolution of internet elicited the usage of technology and internet during the shopping process of consumers. Changes in consumer shopping processes opened doors for shifts in consumer buying behavior. As a result of the variations in consumer buying behavior, retailers formed new channel structures to fulfill customer requirements. New channel structures created different retailing formats and enhanced the complexity of retailing processes. As the complexity of retailing processes increased, complexity of consumer shopping behavior increased as well. In this sense, multichannel retailing emerged and expanded all around the world and paved the way for omnichannel retailing. Transformation of multichannel retailing to omnichannel retailing created two different shopping forms as: Showrooming and Webrooming. In this chapter, showrooming and webrooming concepts will be studied and the complementarity dimensions of these concepts will be explained in detail.

The purpose of this paper is to compare customers' perceptions of factory outlet stores (FOS) versus traditional department stores (TDS), and their purchasing preferences, related to demographic profiles.

Data were collected by a mall intercept survey from 205 shoppers in a New Zealand city across a range of demographics. Factor analysis measured their perceptions of factory outlets and TDS with respect to a number of variables, and one‐way ANOVA and t‐tests were used to investigate the nature and significance of the observed differences.

Four key factors exert critical influences on customers' perceptions: in‐store customer service, brand images, physical features, and price and promotion. FOS are perceived to have comparatively lower prices and more attractive promotions than TDS, which in turn have competitive advantages in terms of the other three factors. Gender, education and income also affect store choice, but age has no discernible effect on perceptions of the two types of outlet.

TDS should maintain their competitive position by continuing to offer attractive physical features, good in‐store customer service and reputable branded products, while FOS need to learn from the competitive disadvantage of TDS and enhance their current perceived competitiveness on price and promotions.

Previous research studies have tended to pay little attention to demographics and to focus on large economies; this paper addresses both deficiencies.

Consumers display complex shopping behaviors in the multichannel environment, which includes traditional retail stores and the internet. The purpose of this paper is to examine the effects of the customer-sales associate relationship, customers’ receptiveness to online store shopping, and their interaction effects on the customer’s attitude toward multichannel shopping behavior when the firm decides to establish an online store as the online channel. The authors also examine how customers’ multichannel shopping behavior affects their future spending intentions.

Survey data were collected by soliciting 231 customers who purchased cosmetics in department stores within the past three months. Subjects were asked to give their overall evaluation of their offline and online shopping experiences in the last three months.

Results show that the customer-sales associate relationship significantly reduces customers’ attitude toward searching offline but purchasing online. Receptiveness to online store shopping has significant effects on customers’ attitude toward multichannel shopping behaviors regardless of whether they search or purchase via the online channel. The customer-sales associate relationship also moderates the relationship between customers’ receptiveness to online store shopping and multichannel shopping behaviors. Finally, unlike other types of online and offline multichannel shoppers who display higher future spending intentions when the physical store decides to open an online store, those who prefer physical stores for both information searching and product purchasing display lower spending intentions.

To the best of the authors’ knowledge, this paper is the first to use customer-sales associate relationships to investigate consumers’ attitude toward multichannel shopping behavior. The findings provide meaningful implications for service providers that use sales associates to increase consumers’ value via face-to-face service, but find it challenging to go online.

Despite the growth of digital fashion shopping, many consumers regularly visit physical fashion stores. To enable digital interactions in a physical store, many fashion brands have installed interactive technology. However, studies of consumer engagement with interactive technology in fashion stores remain scarce. The purpose of this paper is to explore the experience with interactive technology in fashion stores.

A qualitative user experience design (UXD) approach was employed to address the research question. A combination of methods: protocol analysis, observation and interview, was used to collect the data. A prominent UXD framework was utilised to analyse the data.

There are four themes representing findings: split domain, digital domain merchandise, interactive information and interaction moments. For these, two core concepts were extracted: control over experience via framing and challenges for experience.

This research paper infused a new approach that is UXD into the field of fashion marketing. This shows the possibility to amalgamate those contrasting fields. Moreover, this research paper provides insights particularly about the interactions with a technology in fashion stores.

The purpose of this paper is to examine the effects of physical environment design (PED) and its antecedents on consumers’ emotional well-being (EWB). Drawing on place identity and emotional theories, the study aims to provide a new perspective to retail store experiences.

A survey of 800 respondents was conducted in London, out of which 764 responses were constructively used. The data was collected from international retail outlets, and structural equation modelling was used to analyse the data.

The empirical results show that PED has a positive effect on consumers’ EWB. Among the antecedents, visual identity does not have any significant effect on PED and EWB. In contrast, communication had a significant effect on PED but did not have any effect on EWB, and further, cultural heritage had a positive effect on both PED and EWB. Further, moderator analysis identifies the boundary conditions under which specific theories hold.

The value of this paper lies in its potential to be used for creating the perfect design planning in retail stores. Significant implications for managers and researchers are highlighted.

This paper presents an innovative approach to develop the principles of retail store’s PED to support the EWB of consumers.