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The success of e-retailers is intrinsically linked to the effectiveness of their logistics processes which, inevitably, involve third party service providers. As the most tangible representative of the e-retailers it is inevitable that customers expect the e-retailer to resolve delivery queries, including on social media platforms. The purpose of this paper is to investigate the effectiveness of e-retailers’ logistics-related customer service interactions on Twitter with a view towards identifying effective and ineffective social media customer service strategies.

The design and public nature of Twitter encourages organic conversations between e-retailers and customers as well as between customers and other customers. The methodology applied here accounts for this by collecting and analysing interactions within and as part of conversations, not as independent observations. In total, 203,349 tweets were collected from 22 of the most popular e-retailers. A random sample of 5,000 logistics-related conversations (16,998 tweets) is used for the analysis presented here and forms a foundation for future research.

Conversations are initiated by customers on the basis of 24 event triggers which can be categorised as occurring either before or after an order is delivered. These can be general queries or related to a specific order or delivery issue. The paper identifies a number of significant findings such as the extent to which e-retailers and logistics providers redirect customers to other channels to resolve queries, ignoring the implicit preference by customers to use Twitter to resolve their problem. Similarly, the lack of interactions between e-retailers and their logistics providers within the Twitter platform to help resolve customer queries results in ineffective customer service.

The study identifies the way in which e-retailers can substantially improve the effectiveness of the customer service they provide on Twitter by ensuring that customer queries can be resolved within the platform and by working with their logistics partners to do the same. This is critical since problems may be directed to the e-retailer or the logistics provider but both companies jointly suffer the consequences of poor customer service.

The study examines a hitherto underexplored aspect of retail logistics – the social media-based customer service activities of e-retailers. Methodologically, the study is rooted in the acknowledgement that interactions on Twitter form conversations and analyses should take this into account. This is a distinctly different approach from existing Twitter-related studies which conduct an automated sentiment analysis of tweets. This approach reveals a rich picture of interactions and, importantly, identifies where conversations between e-retailers begin, how they develop and how they conclude.

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.

The study is aimed to identify the determinants of online buying behavior and their associations with the consequences of online buying behavior. The study adopted an e-loyalty framework and investigated causal links among functionality, usability, trust, commitment and loyalty. In addition, the study also attempted to investigate the mediating role of trust and commitment between online buying determinants and online purchasing outcomes. The demographic variables of age, gender and income are used as control variables.

An online questionnaire survey was conducted on Internet users by adopting purposive sampling technique. Confirmatory factor analysis (CFA) was employed for measurement development, SEM was used for testing causal links, and percentile bootstrap with 95% confidence interval was used for mediation analysis.

Significant positive relationships were found among functionality, usability, trust, commitment and loyalty. Trust was found to fully mediate the effect of functionality and usability on loyalty. It was also found that commitment fully mediates the effect of functionality on loyalty.

However, caution is advised while generalizing results of this study. The study was conducted on online retailing only. The authors recommend future studies to extend the research in other e-commerce sectors and also to perform a comparative study between online and offline retailing.

This study provides some practical implications to website developers in designing a web page that caters the functionality and usability aspects in understanding e-loyalty formation process so that appropriate marketing strategies and tactics can be established to accommodate customized loyalty of each customer.

The study demonstrates the customer loyalty formation process in online retailing. Scanty literature has witnessed mediating role of trust and commitment in the relationships among functionality, usability and loyalty along with age, gender and monthly family income as controls in Indian sub-continent.

Limited knowledge exists on the difference in the antecedents and outcomes of relationship quality's cognitive and emotional aspects for e-retailers. This research tests how utilitarian and hedonic shopping values differentially affect “cognitive and emotional” relationship quality components and how the latter differentially affects word-of-mouth and brand evangelism.

Online survey data were collected from 450 Jordanian online shoppers. Structural equation modeling (AMOS 24.0) was employed to analyze the data.

First, e-retailer's informativeness and transaction convenience (i.e. utilitarian values), drive more strongly cognitive than emotional relationship quality, whereas e-retailer's escapism and social presence (i.e. hedonic values) drive more strongly emotional than cognitive relationship quality. Second, emotional relationship quality has a strong significant effect on brand evangelism, whereas cognitive relationship quality's effect is insignificant. Third, there are no statistically significant differences concerning the effect of cognitive and emotional relationship quality on word-of-mouth.

The findings of our research are expected to enhance our understanding of e-retailer relationship quality, its emergence and consequences. They would also provide e-retailers with guidance on how to execute growth strategies by focusing on specific types of brand relationship quality, on the other hand.

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?

This research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.

A conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.

The results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.

This research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.

This paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.

The purpose of the study is to develop and empirically test a model which examines the relationship between e-servicescape dimensions, website quality dimensions, website stickiness, website loyalty and word-of-mouth (WOM). The role of WOM in influencing consumer behaviour is documented in literature. However, despite its growing importance, research on the antecedents of WOM in the e-retail context is sparse.

Data were collected by circulating the questionnaire using an online survey from the graduate and undergraduate students enrolled in a large university in the northeastern USA. Out of 660 questionnaires distributed, 509 were usable. Data were analysed using confirmatory factor analysis and structural equation modelling.

Results show that website stickiness and website loyalty are two different constructs which form the immediate antecedents of WOM. Results also show the indirect effects of e-servicescape and website quality dimensions on WOM.

The findings of the study provides a better understanding of the factors likely to influence the WOM behaviour of e-retail store customers. Findings also provide valuable insights into the factors which managers need to focus on to make their e-retail website increasingly stickier.

The contribution of the paper lies in eliciting the differences between stickiness to and loyalty to retail websites and extending the research on e-servicescapes.

In the marketing and consumer behavior literature, much remains to be explained about customer citizenship behavior in a highly technological e-retailing context. The purpose of this paper is to present the results of a survey of 186 e-shoppers which was conducted grounded in the social exchange theory.

Structural equation modeling is used to test the proposed model.

The results provide support that e-customer familiarity with an e-store and facilitating conditions provided by an e-retailer influence e-customers ' e-satisfaction, e-loyalty, and e-commitment with an e-retailer, all of which exert different effects on three dimensions of e-customer citizenship behavior.

The results of this study offer e-retailers a way to stay ahead of their competitors by focusing on online attributes that are difficult to duplicate when it comes to customer relationship such as e-loyalty, e-commitment and e-customer citizenship behavior.

This study represents one of the initial attempts to validate a customer citizenship behavior model in an e-retailing setting using e-store familiarization and facilitating conditions as the primary determinants for developing e-store attitudes and behaviors among e-shoppers.

Based on social science theories of customer's action such as theory of planned behaviour, theory of reasoned action, and technology acceptance model, this paper adopts belief–attitude–intention model to study impact of perceived process-belief of different stages of e-service delivery system process (e-SDSP), i.e., searching process belief (SPB), agreement process belief (APB), fulfilment process belief (FPB) and after-sales service process belief (ASPB) on customer attitude and intention towards service providers. The study also focuses on the mediating effect of customer attitude on the relationship between process-beliefs of different stages of e-SDSP and their behavioural intention.

A quantitative method has been employed using data collected from 414 Indian e-retail customers. Structural equation modelling with bootstrap estimation is used to find the mediating effect of attitude.

The findings suggest that SPB and ASPB directly impact the customer attitude while APB and FPB directly impact the customer behavioural intention. The study also finds that customer attitude towards e-retailers fully mediates the effect of SPB and ASPB on the behavioural intention but there are no mediating effects for APB and FPB.

The sample used may not be generalizable for India, given its huge diversity and population. As the sample considers only Indian e-retail customers, this study may lack generalizability across countries.

In our knowledge, this study is the first step to conceptualize the process-oriented customer's perceived belief of different stages of e-SDSP and how these beliefs impact the customers' attitude and intention towards the e-retailers. The findings offer insight to managers on how they can create and cultivate customer happiness and positive behavioural intention by enhanced customer journey throughout the e-SDSP.

In recent years, more and more e-retailers have adopted live streaming services to attract customers. Although the extant literature has mostly examined the motivations for live streaming usage, it remains unclear how to enhance customers’ purchase behaviour. Based on the social exchange theory, in the context of live streaming platforms (LSP), this study aims to investigate the impact of information quality and interaction quality on swift guanxi and customers’ purchase intention.

This study conducted an online survey to conduct two rounds of data collection and analyses the data using SPSS and SmartPLS softwares.

The results show that information quality (believability, usefulness and vividness) and interaction quality (responsiveness, real-time interaction and empathy) are positively related to swift guanxi, which may influence customers’ online purchase intention on LSP.

Prior service quality studies tend to focus on traditional physical stores and e-commerce websites context. This study offers the description of key dimensions of service quality on emerging LSP context. The study also confirms the importance of swift guanxi in an online marketplace.