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This paper aims to explore consumer perceptions of Internet‐based e‐retailing in a highly concentrated retail market environment.

The present research incorporates market and social factors to examine consumer attitude and behavioral intention to use internet‐based e‐retailing based on the survey data collected from individuals in Hong Kong.

The empirical results suggest that perceived usefulness and perceived ease of use have positive impact on consumer attitude towards e‐retail business. The easily accessible local retail market and the concern about risk in the virtual environment significantly affect consumer attitude and behavioral intention to use e‐retailing. However, consumers may consider using e‐retailing if they are influenced by particular social groups.

Future research can be carried out along similar contextual dimensions to explore consumer behavior and critical success factors of e‐retail business in different geographical environments and social contexts.

The present findings have theoretical and practical implications for managing and developing e‐retail business.

The present study aims to examine how shopping values affect consumers' shopping well-being and, subsequently, their revisit intentions and word-of-mouth. The study also examines how recreational shopping consciousness influences the link between shopping values and consumers' shopping well-being.

The authors tested the proposed hypotheses using PLS-SEM. Based on data generated from 314 users through an e-survey, the study validated the research model. Further, the study examines how recreational shopping consciousness moderates the link between dimensions of shopping values and shopping well-being.

The findings show that except for social value, other shopping values influence consumers' shopping well-being, which subsequently influences their revisit intention and word-of-mouth. Moreover, the study also shows that recreational shopping consciousness significantly and positively moderates the relationship between dimensions of shopping values and shopping well-being.

The current study finds that playfulness contributes more to consumers' shopping well-being. Hence, it is imperative for managers to offer enjoyable elements in their e-retailing platforms so that consumers could enjoy navigating their websites. In addition, through metaphorical and sentimental appeals, managers could also use promotional messages that reflect the hedonistic lifestyles that consumers actually follow.

Utilizing the value-satisfaction-loyalty lens, this study is pioneering as it investigates the contribution of shopping values to the overall psychological and emotional state of individuals. As a novel research endeavor, this study sheds light on the intricate relationship between consumers' shopping values and their well-being in the realm of e-retail.

There has been an explosion in the number of retail Web sites since 1995, e‐retail offering shares a few common elements specifically a product search facility (often augmented by a product evaluation facility), an on‐line purchase function and a product delivery capability. There is a body of theory and empirical research in the study of customer loyalty drivers in the services sector, which demonstrates that customers evaluate services on the basis of tangibles, responsiveness, empathy, assurance, reliability and control. These service qualities depend on the customer’s perception of the overall service experience. The most influential element in the service experience is the relationship between the service provider and the customer. The Internet is a poor service delivery medium, it lacks the capacity for direct personal interaction enjoyed by non‐Internet based services. Sets out a number of marketing and Website design implications for e‐retailers and suggests means by which e‐retailers can manage customer perceptions to increase sales and develop greater customer loyalty.

E-retailing grows rapidly in recent years. The majority of previous research on e-retailing service recovery has been mainly focussed on the customers’ perspective. The purpose of this paper is to examine service recovery from the operations management perspective of the e-retailing industry in order to investigate the impact of an integrated service recovery system on e-retailers’ capability improvement and market performance.

Empirical data consists of a sample of 256 employees from a leading e-retailer in China. Structural Equation Model was used to verify the relationship between the integrated recovery system and employees’ job satisfaction and organizational citizenship behavior (OCB) as well as e-retailers’ capability improvement and market performance.

The empirical results reveal that e-retailers need to pay attention to establishing an integrated recovery system. The system can facilitate employee job satisfaction and OCB, ultimately the e-retailer’s market performance. However, the relationships between job satisfaction and OCB as well as market performance are found to be low in the context of e-retailing in China.

This research contributes to the effectiveness of an integrated service recovery system in the context of e-retailing and the important role played by employees during recovery process.

An uncertain product demand in online retailing leads to loss of opportunity cost and customer dissatisfaction due to instances of product unavailability. On the other hand, when e-retailers store excessive inventory of durable goods to fulfill uncertain demand, it results in significant inventory holding and obsolescence cost. In view of such overstocking/understocking situations, this study attempts to mitigate online demand risk by exploring novel e-retailing approaches considering the trade-offs between opportunity cost/customer dissatisfaction and inventory holding/obsolescence cost.

Four e-retailing approaches are introduced to mitigate uncertain demand and minimize the economic losses to e-retailer. Using three months of purchased history data of online consumers for durable goods, four proposed approaches are tested by developing product attribute based algorithm to calculate the economic loss to the e-retailer.

Mixed e-retailing method of selling unavailable products from collaborative e-retail partner and alternative product's suggestion from own e-retailing method is found to be best for mitigating uncertain demand as well as limiting customer dissatisfaction.

Limited numbers of risk factor have been considered in this study. In the future, others risk factors like fraudulent order of high demand products, long delivery time window risk, damage and return risk of popular products can be incorporated and handled to reduce the economic loss.

The analysis can minimize the economic losses to an e-retailer and also can maximize the profit of collaborative e-retailing partner.

The study proposes a retailer to retailer collaboration approach without sharing the forecasted products' demand information.

This paper seeks to explore antecedents for online success and conceptualizes the stages by which a small‐sized “pure‐player” has achieved profitable and sustainable e‐retail in the fashion sector by utilizing a multi‐niche strategy involving an e‐portfolio of five fashion‐related cyberstores.

This qualitative critical‐case utilizes the in‐depth interview technique and rich thematic data analysis to provide insight into e‐retail development, with conceptualizations inductively developed from the data. Findings are linked to business growth, e‐business strategy, portfolio management and entrepreneurship literatures.

Findings identify a staged, evolutionary approach to transactional cyberstore development and outline 20 key factors for e‐retail success. The “web‐weaving” process is conceptualized: this strategic “e‐portfolio management” approach identifies a multi‐niche opportunity for e‐retail, which spreads risk, maximizes revenue streams, utilizes knowledge economies/synergies across multiple‐web sites, promotes customer added value and offers potential for competitive advantage and sustainability for the smaller‐sized e‐retailer.

This is an in‐depth study of a single, long‐standing e‐retailer maintaining superior retention levels across an international customer base. That this enterprise bucks current trends by surviving (when 75 per cent e‐retail ventures fail) adds validity to web‐weaving as a sustainability strategy. Future research should explore this phenomenon within a wider inter/intra‐niche context to further contribute to the enhancement of e‐retail strategic marketing/enterprise development.

Implications indicate that a (niche) e‐portfolio strategy is perceived as defensible, from an owner‐director perspective, for sustaining a fashion e‐retail enterprise. Targeting multiple‐niches via “web‐weaving” provides a clear route to critical‐mass and sustainability, which could prove a valuable lesson for many small e‐retailers – potentially providing a framework for internet‐strategy development in other marketing domains.

This research presents a rich picture of how an e‐retail enterprise, in a highly competitive/dynamic market, can develop and sustain transactional e‐business over the longer‐term – presenting obvious implications to SME retail/marketing management.

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.

Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors affecting practical implacability of artificial intelligence and its impact on consumers’ online purchase intention.

This paper has used a technology-based model as the base to explore the different factors affecting consumers’ purchase intention towards e-retailing. This study has formulated a model that demonstrates the integration of artificial intelligence in retailing by the business organizations so as to understand the needs of customers and help them accept technology. This study has further explored faith, subjective norms and consciousness as constructs which enhance the implacability of artificial intelligence.

This study shows that artificial intelligence positively influences consumers’ buying behaviour. This study through a model also shows that integration of artificial intelligence enhances consumers’ purchase intention.

The study has been focusing on a portion of target population. So there is scope to include the whole set of the population to get closer-to-accurate results.

The study offers useful inputs for academicians as well as marketers for predicting buying behaviour of consumers. Marketing managers can use artificial intelligence–embedded technology to enhance online purchase intention.

The study shows that an increase in consciousness towards e-retailing has made consumers keenly analyse and purchase products on the basis of merit and usefulness of the products.

The contribution has been made with the best of knowledge in formulating an integrated artificial intelligence model for consumers’ purchase intention in e-retailing.

The study explores the influence of shopping channels on the hedonic shopping experience, contributing to subjective well-being (SWB) based on the purchased branded product. It also assesses the variations in these effects according to brand luxury. The purpose of the paper is to provide strategic suggestions for building luxury apparel distribution tactics that balance maintaining brand luxury with business growth through both physical stores and digital stores (e-retail).

Based on 418 samples collected in Japan, consumers' perceptions of hedonic shopping value and SWB are examined according to two channel factors, such as physical retail vs e-retail and mono-brand stores vs multi-brand stores. Additionally, the moderation effects of brand luxury are discussed.

Multi-group path analyses reveal that physical mono-brand stores contribute to hedonic shopping value. In addition, this experiential value is found to increase SWB, especially when the brand luxury level is high.

These findings suggest that managers should place a high level of importance on consumers' shopping experiences via physical direct retail especially in the case of a higher luxury level, even in today's highly developed digital environment.

The current study uniquely discusses the effects of shopping channels and experiences on SWB based on an acquired branded product, i.e., an evaluation of the outcome of shopping behavior and product acquisition. The study also reinforces the importance of physical stores suggested in previous luxury research.

This study aims to understand how brand personality affects purchase intention through brand love and perceived quality in e-commerce.

Three hundred forty-eight users of e-commerce sites in New Delhi, India, were surveyed for the study. The data set was examined using confirmatory factor analysis, and the research hypotheses were assessed using structural equation modeling.

Two important conclusions emerged from the study. First, brand love and perceived quality have been considerably and favorably influenced by all six dimensions of brand personality of e-commerce brands. Second, the purchase intention toward the e-commerce sites is significantly and positively impacted by brand love and perceived quality.

This study by exploring various dimensions of brand personality, will assist e-commerce executives in increasing purchase intention toward the e-retailing sites.

This research is supposed to be the foremost to look at how brand personality, through brand love and perceived quality affects purchase intention toward e-commerce websites. The attachment theory is used in this study as a theoretical foundation for linking e-commerce brand personality to customers’ purchase intentions via brand love and perceived quality.