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The pandemic impacted consumers' shopping processes, leading them to approach the online channel for grocery shopping for the first time. The paper contributes to the retailing literature by identifying different grocery shopper segments willing to switch online moved by heterogeneous motivations. Integrating the technology acceptance model 2 (TAM-2) and the protection motivation theory (PMT), this study identifies technology-related and Covid-related motivations jointly impacting channel switching.

A mixture regression model was estimated on the 370 valid questionnaires, filled out by Italian shoppers, delivering four internally consistent segments.

The results reveal the existence of four segments willing to switch towards the online channel for grocery shopping in the aftermath of the pandemic. Utilitarian shoppers would switch online as they consider the online channel useful and easy to use. Responsive shoppers will prefer the online channel driven by the fear of being infected in-store. Novel enthusiasts show interest in the online channel to not catch the virus and cope with emotional fear, although they consider online shopping as an enjoyable and useful activity as well. Smart shoppers consider online shopping as an easy-to-use alternative for their grocery purchases.

This paper identifies technology-related and Covid-related motivations jointly impacting shoppers' channel switching to online and presents a novel method – i.e. mixture regression – allowing for the identification of shopper segments motivated by different reasons, both emotional and utilitarian, to switch towards the online channel for their grocery shopping. Among other motivations, the fear of Covid-19 is identified as a relevant motivation to switch to online.

This paper aims to study how retailers moving from a multi- (in-store and online) to a single- (online) channel impacts consumers’ retailer and channel choices.

The authors conduct two scenario-based experimental studies to examine consumers’ in-store and online channel shopping preferences and behavioural intentions (i.e. channel and retailer choices) when their preferred focal retailer’s physical store closes.

The findings show that when a focal retailer removes its physical store location, consumers with a strong preference for shopping online have a greater likelihood of shopping online. Their loyalty towards the retailer explains this relationship but is conditional on low levels of reactance. When reactance is high, consumers with a strong preference for shopping online are more likely to switch to a competitor.

This research paper bridges the intersection between B2B and B2C literature to understand how retailers’ channel-related supply chain decisions affect downstream consumer shopping behaviour.

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

Data were collected from selected young adult participants using a stratified probability sampling strategy. Smart PLS was used to analyse the data.

The findings of the study indicate that perceived usefulness (PU), peer review (PR) and attitude (ATT) positively influence continuance intention (CI).

In line with the available literature, there are few prior post-adoption studies that delineate the influence of individual characteristics on digital commerce usage activities. There is high mobile penetration as a result of positive digital commerce and mobile application usage and adoption, creating the need to investigate and better understand the drivers behind, not just adoption and usage, but continued use of digital commerce platforms and applications. Since the sample size is relatively small, further future research studies can test the same model with bigger sample sizes to assess generalisability of the results in different locations.

This study adds to the current literature by concentrating on the extent to which systems and marketing elements influence young adult customers' intention to continue using online and mobile grocery shopping platforms in South Africa.

The study adds value from a theoretical standpoint, contributing to the antecedent factors of the technology acceptance model (TAM), theory of reasoned action (TRA) and stimulus-organism-response (S-O-R) model and giving marketing academics insights into what aspects drive re-use of online and mobile grocery shopping and on what should be the focus.

This paper aims to examine the online apparel shopping behaviour of Generation Y (Gen Y) in an unprecedented digital dissemination era.

For this purpose, a “mixed-method approach” was used with an explanatory sequential research design. Logistic regression was conducted to identify the role of various contemporary elements of shopping motives. Fifteen semi-structured interviews were conducted to explain quantitative outputs.

It finds that Gen Y consumers demonstrate “fashion-hunting”, “variety-seeking”, “status/recognition-seeking” and “deal-hunting” behaviours in online apparel shopping. “Haptic impressions” gained via hands and other “socio-psychological benefits” trigger their apparel shopping behaviour. They make better and more informed purchase decisions based on prior online research and user-generated content shared by friends/relatives on social media portraying the true characteristics of “digital natives”. They do not trust online retailers for premium apparel shopping due to associated “product risk” and lack of transparency in their “exchange/return/refund policy”. Finally, they are increasingly inspired to have an “integrated online and offline shopping experience”.

Online retailers can use the findings of this study to develop more effective marketing strategies to serve Gen Y consumers.

The study measured actual behaviours on a holistic gamut of shopping motives consisting of utilitarian, hedonic, physical product-specific (apparel) and emerging elements of shopping motives in the technology-enabled era of shopping exclusively. Therefore, the results of the study offer significant, realistic and useful theoretical contributions to the existing literature on the subject matter along with valuable inputs to practitioners alike.

The purpose of this paper is to examine an integrated model of factors affecting attitudes toward online shopping in Jordan. The paper introduces an integrated model of the roles of perceived website reputation, relative advantage, perceived website image, and trust that affect attitudes toward online shopping.

A structured and self-administered online survey was employed targeting online shoppers of a reputable online retailer in Jordan; MarkaVIP. A sample of 273 of online shoppers was involved in the online survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs, unidimensionality, validity, and composite reliability (CR). Structural path model analysis was also used to test the proposed research model and hypotheses.

The empirical findings of this study indicate that perceived website reputation, relative advantage, perceived website image, and trust have directly and indirectly affected consumers’ attitudes toward online shopping. Online consumers’ shopping attitudes are mainly affected by perceived relative advantage and trust. Trust is a product of relative advantage and that the later is a function of perceived website reputation. Relative advantage and perceived website reputation are key predictors of perceived website image. Perceived website image was found to be a direct predictor of trust. Also, the authors found that 26 percent of variation in online shopping attitudes was directly caused by relative advantage, trust, and perceived website image.

The research examined online consumers’ attitudes toward one website only therefore the generalizability of the research finding is limited to the local Jordanian website; MarkaVIP. Future research is encouraged to conduct comparative studies between local websites and international ones, e.g., Amazon and e-bay in order to shed lights on consumers’ attitudes toward both websites. The findings are limited to online shoppers in Jordan. A fruitful area of research is to conduct a comparative analysis between online and offline attitudes toward online shopping behavior. Also, replications of the current study’s model in different countries would most likely strengthen and validate its findings. The design of the study is quantitative using an online survey to measure online consumers’ attitudes through a cross-sectional design. Future research is encouraged to use qualitative research design and methodology to provide a deeper understanding of consumers’ attitudes and behaviors toward online and offline shopping in Jordan and elsewhere.

The paper supports the importance of perceived website reputation, relative advantage, trust, and perceived web image as keys drivers of attitudes toward online shopping. It further underlines the importance of relative advantage and trust as major contributors to building positive attitudes toward online shopping. In developing countries (e.g. Jordan) where individuals are generally described as risk averse, the level of trust is critical in determining the attitude of individuals toward online shopping. Moreover and given the modest economic situation in Jordan, relative advantage is another significant factor affecting consumers’ attitudes toward online shopping. Indeed, if online shopping would not add a significant value and benefits to consumers, they would have negative attitude toward this technology. This is at the heart of marketing theory and relationship marketing practice. Further, relative advantage is a key predictor of both perceived website image and trust and the later is a major driver of attitudes toward online shopping. Online retailers’ executives and managers can benefit from such findings for future e-marketing strategies and retaining customers to achieve long-term performance objectives.

This paper is one of the early empirical endeavors that examined factors affecting attitudes toward online shopping in Jordan. This study provides evidence on the factors that determine online shoppers’ attitudes as an antecedent to consumers purchase decisions. From a theoretical perspective, this study contributes to the existing body of knowledge by revealing the sort of cause and effect relationships among relative advantage, perceived website reputation, perceived website image, in addition to trust, and their effect on consumers’ attitudes toward online shopping. Moreover, this paper is one of handful research that has distinguished between perceived website image and perceived website reputation along with their relationships and more specifically in the context of online shopping. From an international e-marketing perspective, online retailers planning to expand their operations to include Jordan or the MENA Region have now valuable empirical evidence concerning the predictors of online shopping attitudes and online shoppers’ behavior upon which e-marketing strategies are formulated and implemented.

E-commerce poverty alleviation (EPA) is an innovative poverty alleviation model in China. The institutional mechanisms of the e-commerce platform improve the effect of EPA and exert online shopping purchase power in rural China. From a socio-technical perspective, this paper used adoption readiness of farmers and perceived risk to construct an integrated model to discern the effect of enhanced e-commerce institutional mechanisms on farmers' online shopping intention in the context of EPA.

The survey included 832 valid samples from rural farmers in Shanxi province. This study analyses using structural equation modelling (SEM) and bootstrap methods used to empirically test the model.

Findings suggest that enhanced e-commerce institutional mechanisms have significant direct and indirect positive impacts on farmers' online shopping intention; adoption readiness and perceived risk play partial mediation roles in determining the relationship between farmers' online shopping intention and enhanced e-commerce institutional mechanisms; and the indirect mediation effect of adoption readiness is greater than that of perceived risk.

Although the proposed model was supported in the questionnaire survey, the investigation method was not completely excluded. Future research can combine the method of panel data and apply the framework to other e-commerce platforms, as well as to other cultural settings.

The study suggests that enhanced e-commerce institutional mechanisms that are based on the needs of farmers from poverty-stricken areas change the shopping habits of farmers. Moreover, enhanced e-commerce institutional mechanisms should allow farmers' perceived adoption readiness to play its promoting role and reduce the impeding role of perceived risk. The results of this study are conducive to the intensive implementation of the ‘Three Rural Issues’ strategy in China.

A new model to generate a two-factor mediation effect model by integrating the perceived effectiveness of enhanced e-commerce institutional mechanisms with farmers, farmers' adoption readiness, perceived risk and online shopping intention. The study explored the relationship between enhanced e-commerce institutional mechanisms and farmers' online shopping intention, bridging the gap in related empirical studies. Besides, this study first proposed farmers' adoption readiness and clarifies the mediating role of farmers' adoption readiness and perceived risk, which highlights the previously unnoticed role of farmers' adoption readiness.

This paper aims to address the relationship between fear of identity theft/fraud and online shopping, while identifying the most important factors affecting online shopping.

This study uses a mixed method approach in which the quantitative analysis identifies patterns in the data, whereas the qualitative analysis offers in-depth interpretation.

More fear actually predicts more online shopping but shoppers’ trust in the website’s willingness to redress financial harm and risk-benefit analysis are the real factors in online shopping.

The sample consists of Amazon users mostly so the findings may not apply to those who never shop on Amazon or never shop online at all.

To encourage online shopping, online shopping websites should focus on maximizing the benefit and minimizing the risk, but without addressing the risk by reassuring shoppers of their financial security, emphasizing the benefit alone is ineffective.

This is the first study addressing online shopping in terms of fear of victimization. It is also the first study that addresses risk and benefit in relative terms as in risk-benefit analysis measured by both quantitative and qualitative methods.

In this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.

This paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.

The results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.

This paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.

While the popularity of online shopping has increased in recent years, surprisingly little research has examined the factors affecting consumers’ behavior in this context. Furthermore, though a widespread problem for companies, the phenomenon of online shopping cart abandonment has garnered even less attention. The purpose of this study is to examine the role of consumers’ mindsets in online shopping cart abandonment.

Three experimental studies were conducted to examine the effect of consumer mindsets (i.e. abstract vs concrete) on purchase intentions.

Results indicate that consumers who have an abstract (as opposed to concrete) mindset when shopping online rate the products they include in their shopping carts to be more important, and consequently are more likely to purchase them, reducing shopping cart abandonment.

The findings suggest that online retailers can reduce shopping cart abandonment by implementing strategies that allow consumers to think abstractly.

This research contributes to the literature by identifying an important underlying mechanism affecting online shopping cart abandonment.

The purpose of this paper is to investigate the consumer experience of flow in an online consumer shopping environment and use online consumer participants to examine how consumer pursuit of shopping value links in turn affects their satisfaction and unplanned purchase behavior.

The research model was tested using the data collected from 363 valid questionnaires. Structural equation modeling was employed to verify and validate the research model.

The results of this study show that perceived control of flow and concentration will positively affect consumer utilitarian value, while concentration and cognitive enjoyment will positively affect hedonic value. Further, the effect of utilitarian value on satisfaction is greater than that of hedonic value. Finally, hedonic value positively affects unplanned buying behavior. This research results may serve as a reference for online store operators.

This study used cross-sectional data for its cause and effect analysis. Long-term conclusions based on this study are not possible. Future scholars may consider using a longitudinal approach.

The results of this study clearly demonstrate that e-commerce operators must construct environments that create flow experiences for shoppers by increasing their perceived control, concentration, and cognitive enjoyment. Doing so will create both utilitarian and hedonic values, making consumers feel satisfied with their shopping experience and leading them to make purchases not originally planned in their shopping list.

This study’s major contribution is its successful linkage of the dimensions of flow experience to purchase values. Moreover, it confirms that when online shoppers have an unselfconscious flow experience, they will experience both utilitarian and hedonic values, thus increasing their satisfaction.