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The management of electronic retail channels is not limited to virtual companies only. Also store‐based (stationary) retailers are expected to set up electronic distribution channels. This paper discusses the occurrence of such channels from a European perspective. The authors introduce a Web‐scan framework to analyze the nature of Web offerings and thelogistical elements of e‐tailing. The application of this structure showed that store‐based retailers have already invested in Web‐based activities, mainly for information and/or communication issues. The set‐up of strong electronic channels of distribution is still in an early phase.

Electronic markets are known to be distinct from, and more efficient than, the conventional retail markets. The purpose of this paper is to examine the effect on pricing in relation to proximity to a culturally and socially significant peak shopping day and the moderating effects of consumers product rating, product popularity, and featured product website rankings.

The shopping season during the Thanksgiving holiday in 2010 was used to collect data for this study. This paper uses a case study approach by extracting real store‐level data from the web pages of a B2C e‐retailer. Store level data were downloaded for a total of 19 days, before and after “Black Friday.” The longitudinal data were analyzed using regression analytic procedure to conform the hypotheses.

The longitudinal data supported the hypothesized relationship between days to the culturally significant shopping event and e‐retailer selling price. The data also confirmed that featured product ranking is a significant moderator of the above relationship.

In e‐retailer websites, webpage ranking determines the order of display of products. Literature suggests that buyers choices are influenced by the volume and order of display of information. Therefore, this study includes webpage rankings of featured products, number of consumer reviews, and consumer ratings as independent variables. Another limitation of this study is that it uses data of one large e‐retailer. Future studies may address these limitations.

This paper examines the pricing behavior of e‐commerce companies during “culturally and socially significant” events. and answers research questions related to the electronic markets: Do e‐commerce companies participate in cultural and social events? How do these companies manipulate pricing during a special shopping season? How are search tools employed to showcase specific products to the buyers? Is there a relationship between proximity to “Black Friday” and product price, product popularity, and product ratings?

Telspar Viewdata provides members of the Spar independent voluntary grocery group with a two‐way exchange of information — at least as far as those served by wholesaler James Hall are concerned. It provides the retailer with an electronic ordering facility, with a personal printed stocklist, with a separate pricing facility, and with management reports on gross margin and stock control. The author claims that it takes computing “away from the hands of the experts and puts it in the hands of the branch manager or shop owner.”

This study aims to reveal how omni-channel capability leads to customer satisfaction by examining the mediating roles of flexibility and operational logistics service quality (LSQ).

Consumers who had previously shopped from any particular retailer's both online and physical stores were surveyed to collect data on research constructs. Structural equation modelling and bootstrapping were employed to test research hypotheses.

This study shows the double mediation of flexibility and operational LSQ in the effect of omni-channel capability on customer satisfaction. Despite this indirect effect, omni-channel capability does not directly affect customer satisfaction, implying the full mediations of flexibility and operational LSQ. However, these mediating effects could not be verified for certain types of retailers (e.g. electronic retailers).

By using the theoretical lens of capability–service quality–performance triad (C-SQ-P), this study shows how omni-channel capability and flexibility affect customer satisfaction through operational LSQ. Hence, an original finding is that developing omni-channel capability may not be sufficient for customer satisfaction and that it may need to be supported by flexibility and operational LSQ. It additionally reveals that the mediations of flexibility and operational LSQ hinge on the type of retailing industry examined. Thus, this study draws on the necessity of investigating the contingent roles of flexibility and operational LSQ in omni-channel retailing for customer satisfaction.

Previous studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains.

This paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies.

The results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains.

This paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies.

This paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.

Via an initial trust‐building model, the purpose of this paper is to examine consumers' initial trust in an unfamiliar online retailer, considering cognitive perceptions of the retailer and institutional beliefs about the online environment.

A random sample of 2,000 US households, resulting in 477 usable responses, was surveyed by assigning subjects to one of the two shopping scenarios portraying an online insurance retailer with a weak or strong reputation.

Structural equation modelling revealed that second‐hand cognitive and first‐hand institutional information have comparable and contrasting effects on purchase intent through formation of initial trust.

Results imply that consumers form initial trust using a combination of cognitive perceptions about the online retailer and consumers' institutional beliefs regarding the online environment. Ways in which researchers and online retailers can shape initial trust formation via these antecedents are suggested.

The influence of an institutional belief, situational normality of the online environment, on initial trust has not been previously investigated by simultaneously assessing relative influences of institutional beliefs and cognitive perceptions of the online retailer.

The purpose of this paper is to explore consumers’ retailer preferences during economic growth and recession periods in a Muslim-intensive country, and to compare the efficiency of retailers of different formats.

The data of the retailers operating in different formats in the first two quarters of 2018–2020 are used in the study. The data are analyzed by using Data Envelopment Analysis (DEA). The inputs of the DEA model are personnel expenses, rent costs and advertising expenses; and the outputs are sales and profits, which are the main objective of businesses. Because of the structure of the data, the non-oriented approach is used. The efficiency of retailers is determined in the study with super efficiency, which allows retailers to rank their productivity.

Findings of study present that consumers exhibited price-oriented behaviors during economic recession periods. DEA findings shows that discount stores are the most efficient retailers. However, study findings also reveal that retailers who support cost-reduction strategies with promotion activities are more efficient than others during economic recession periods.

Recommendations are made for the decision makers of the retailers in line with the findings of the study.

The study contributes to the literature by evaluating the consumer preferences and the efficiency of retailers in COVID-19 outbreak period, which is one of the most special periods in world history.

The purpose of this paper is to investigate the adoption and implementation of supply chain management practices (SCMPs) on supply chain performance (SCP) and firm performance (FP) in the organized retail industry in a developing country like India.

An empirical study was conducted on a sample size of 125 responses collected from the supply chain heads of organized retail firms in India. A theoretical model was developed depicting the relationship between SCMPs, SCP and FP. The theoretical model was tested using mediating multiple regression analysis.

This research suggests that the SCMPs are positively related to SCP and FP. Customer relationship management and supplier relationship management are reported as the most important SCMPs, which had the maximum impact on the FP in the organized retailing context in India.

The research employed perceptual performance measures. Future studies can use actual performance parameters like profit and sales growth to better quantify the benefits of SCM in this context.

This research is an attempt to empirically test the impact of SCMPs on FP in organized retailing context in an emerging market, India.

The aim of this study is to determine whether the cumulative effects of satisfaction, trust, and perceived value may, under certain conditions, provide more explanatory power for customer loyalty intentions than the often studied and more elusive customer delight. Herzberg's two-factor theory is used to explain why the frequent nature of grocery shopping, a primarily utilitarian experience, might introduce considerations that have not yet been addressed in the study of delight.

A survey is administered to a quota sample of Portuguese supermarket shoppers via phone, using a CATI system.

Research findings suggest that perceived value, trust, and satisfaction have a greater impact on behavioural outcomes than customer delight in the grocery shopping setting. In such a setting, cognitive drivers may be even more important for customers who are primarily concerned with hygiene factors (rather than motivators).

Retailers are encouraged to focus on the more mundane factors that influence consumers' perceptions of value and trust rather than trying to invest in the substantial resources required to continually delight consumers. Future research may explore other determinants of loyalty intentions and test the extended model in different service sectors, cultural contexts and countries.

This study applies Oliver et al.'s consumer delight model in a utilitarian, frequent-use setting, finding previously undiscovered limitations to its validity.

The purpose of this paper is to examine the phenomenon of emotional contagion in service encounters by proposing and testing an empirical model of the antecedents and consequences of affective service delivery by employees.

A theoretical framework of the antecedents and outcomes of employee affective delivery in service interactions is developed on the basis of relevant studies in marketing, psychology, and organization. In total, nine hypothesized relationships between the constructs in the conceptual model are proposed and tested by structural equation modeling using data collected from 217 employee‐customer pairs in ten service industries.

Results showed that employee inner emotion, work group mood, and service environment all have a positive influence on employee affective delivery, which, in turn, positively influences customer emotion and service outcomes.

This study represents an early attempt at exploring the antecedents of employee affective delivery in service context. Future research is discussed, with an emphasis on characteristics of employees/customers, employee experiences, and service norm.

Managers of service firms should recognize the importance of the drivers of employee positive displayed emotion. Service firms can benefit from focusing their attention on enhancing affective service delivery.

This study described in this paper addresses important research gaps in the service marketing literature by: empirically examining the antecedents of employee affective delivery in service interactions; and providing the first test of emotional contagion and its related processes with data collected from ten different service industries, rather than a single industry.