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This paper aims to explore the effects of the Coronavirus outbreak and the subjective norm and attitude on shopper’s intentions to purchase Hijab online. It hypothesises the influences of the Coronavirus outbreak as situational determinants, which include the place accessibility (e.g. the shutting of physical Hijab stores) and stores environment (e.g. well-being risks in physical shops, online shopping movement and extra marketing attempts from online Hijab stores through the outbreak).

Structured questionnaires were retrieved from 366 female Muslim shoppers, both wearing and not wearing Hijab. ADANCO 2.0.1 programming and PLS-SEM were applied in empirical investigation.

The results on direct relationships reveal that the Coronavirus outbreak situational determinants including place accessibility (ACCESS) and store environment (ENVIRO) and shopper’s attitude towards online Hijab purchase (ATTITU) are strong predictors of online Hijab purchase intention (ONLINE). At the same time, the subjective norm (SUBJEC) predicts ATTITU. The indirect mediation between SUBJEC on ONLINE was also confirmed.

These discoveries would help the Hijab business players, i.e. online sellers, retailers and marketers to increase their web pages’ quality and marketing efforts.

The research is an initial concept and empirical evidence investigating the Coronavirus outbreak’s situational influences and the effects of attitude and subjective norm on shoppers’ intentions to purchase Hijab online.

To classify internet users into holiday shopper and non‐shopper segments, and to profile the demographic, psychographic, and computer use characteristics of each segment.

Self‐report data come from a national US sample of online internet users. Segments are customer revealed using traditional cluster analysis. Lifestyle measures are reduced to higher order measures using factor analysis. Profiles are analyzed via descriptive statistics, graphs, and radar charts.

Six important segments are identified in the data. Three of the segments characterize customers who resist online shopping, even though they engage in other online activities. Security fears and technological incompetence typically inhibit these users from engaging in electronic exchange. Some internet users simply choose not to shop online. Three of the segments describe active e‐shoppers who are driven by a unique desire to socialize, minimize inconvenience, and maximize value.

Data come from self‐report questionnaires administered and collected electronically through the internet. Focus is placed on holiday gift buying. Since, holiday shopping is very important to e‐retailers, results are managerially interesting, but might not be indicative of other shopping periods.

To be successful, e‐retailers must understand those things that motivate and inhibit customer online shopping. Marketing activities targeted at reticent e‐shoppers should focus on benefits, guarantee safeguards and facilitate technical literacy. Service, value, and online ambiance should be carefully tailored to meet the desires and expectations of each customer type.

The study is a replication and extension of earlier online studies which are summarized in the reviewed literature.

The purpose of this paper is to introduce the new construct online shopper confusion and to identify online confusion causes and consequences.

Data obtained from a projective technique and a quantitative study were analyzed to identify online shopper confusion causes. Two experiments employing different stimulus materials tested the conceptualized consequences of online shopper confusion.

Confusing online store elements are classified into three online confusion causes. Data yielded from two experiments using fictitious and real shopping scenarios as stimulus material show that a confusing internet retail process leads to negative consumer reactions.

The resulting taxonomy of confusing online store elements offers guidance on the creation of non-confusing online shopping trips, and highlights the relevance of a non-confusing internet retail process. Online shopper confusion is linked to negative behavioral reactions. Consequently, this research offers an explanation for undesirable consumer reactions in internet retailing.

The findings provide practitioners with concrete insights into how the internet retail process confuses shoppers which help to assess the confusion potential of their existing online stores and consider confusion issues in the development of new online stores.

This research is the first to explore confusion during the internet retail process. The multi-method approach offers highly valid insights into the causes and consequences of online shopper confusion.

The purpose of this paper is to analyse the online preference structures of consumers.

Novel choice‐based conjoint experiments are used and are administered online. A select group of high net worth online grocery shoppers are examined. Both qualitative and quantitative procedures are used to determine the most frequently cited attributes affecting online patronage.

Whilst there is no single attribute on which a retailer could develop a competitive edge, a significant market advantage can be gained by being simultaneously “best in class” on the top four attributes.

This research approach has significant practical application to a wide range of strategic marketing questions.

These findings give focus to the management task facing marketing executives in the UK multichannel grocery market. How these findings might be used within a marketing plan is illustrated.

Grounded on approach/avoidance behaviour theory, the purpose of this paper is to develop a typology of grocery shoppers based on the concomitant perceived advantages and disadvantages of shopping online and in store for a single cohort of consumers who buy groceries in both channels.

A survey design was employed using a sample of 871 UK shoppers who had purchased groceries online and offline. The survey instrument contained items that measured the perceived advantages and disadvantages of grocery shopping online, and items relating to the perceived advantages and disadvantages of grocery shopping in traditional supermarkets. Items were selected from the extant literature and subjected to content and face validity checks. Cluster analysis was used to develop typologies of online and offline grocery shoppers. The inter-relation between the two typology sets was then examined.

The results of the research provide several insights into the characteristics, perceptions and channel patronage preferences of grocery shoppers. In particular, profiling e-grocery shoppers on the basis of their concomitant perceptions of shopping online and in store suggests that the choice of whether to shop online or in store may be driven not by the perceived advantages of one channel vs the other, but by the desire to avoid the greater disadvantages of the alternative. These perceptions differ somewhat between different consumer groups.

This study makes a noteworthy contribution to the internet and general shopping literature by providing a profile of grocery shoppers based on their concomitant and often conflicting perceived advantages and disadvantages of shopping online and their perceived advantages and disadvantages of shopping in traditional supermarkets. The use of a single cohort of consumers overcomes the bias in previous studies that employ separate cohorts of online and offline shoppers and reveal important insights into the complex perceptions and behaviours of multichannel grocery shoppers.

As the number of female customers shopping in online clothing stores increases, understanding how female customers’ e-loyalty is formed and fostered in this type of online store becomes very pivotal. Yet, despite its importance, little research has been done on this issue. The purpose of this paper is to focus on female online clothing shoppers and aim to examine the mediators of e-loyalty in the context of online clothing stores: e-satisfaction and e-trust.

A total of 482 subjects who are female and have online clothing store shopping experience in Taiwan were obtained and structural equation modeling was performed to analyze the measurement and structural models.

The results show that both perceived online privacy and security are positively associated with e-trust, whereas web design is not. Furthermore, perceived delivery time and web site design are positively associated with e-satisfaction. Both e-trust and e-satisfaction in turn positively influence e-loyalty for female online clothing shoppers.

On the basis of the literature review, there is a lack of theoretical knowledge of the relationships between e-loyalty, e-satisfaction, and e-trust among female online clothing shoppers. The research fulfills this important theoretical gap by extending prior studies on e-loyalty to further examine the factors that form e-satisfaction and e-trust, and how they, as mediators, influence the development of female customers’ e-loyalty in the context of online clothing stores. The result provides a model that contributes to understanding the formation of female customers’ e-loyalty.

The results of this study are helpful to online store managers in increasing their customers’ loyalty. Specifically, online clothing store managers have to create quick item delivery methods and friendly online shopping web sites that provide all necessary information and are easy to navigate and use so as to increase customers’ e-satisfaction. They also need to establish reliable and trustworthy web sites by letting their customers easily perceive the web sites’ privacy and security features to enhance customers’ e-trust. As e-satisfaction and e-trust increase, e-loyalty is fostered.

The contributions of this study are threefold. First, this study focusses on an important but previously neglected group in the context of online clothing stores: female online clothing shoppers. Second, the authors’ investigation extends the literature on e-loyalty by identifying important mediators (e-satisfaction and e-trust) and probing into their relationships to e-loyalty in the context of online clothing stores. Third, the findings contribute to academia and to future research by increasing understandings of the importance of the concerns and experiences of female online clothing shoppers and by suggesting that future research pay more attention to female online shoppers.

Prior studies mostly investigate initial shopping intention in developed countries. The purpose of this paper is to sketch and determine the impact of perceived usefulness (PU), perceived ease of use (PEOU), perceived value (PV), trust (TRT), perceived risk (PR), privacy concern (PC), internet literacy (IL), satisfaction (SAT) on online repatronage intention (ORI) among Malaysian experienced online shoppers.

A total of 219 valid questionnaires were collected via an online survey among experienced online shoppers across young and old students aged 18-31. Subsequently, the two-step structural equation modelling (SEM) technique was employed to empirically examine the proposed integrative theoretical research framework and model fit with maximum likelihood estimation.

The statistical analyses support the relationships between PU, PV, TRT and SAT with ORI while the relationships between PEOU, PR, PC and IL with ORI were rejected in which all the factors affecting ORI occur similarly across the study sample. The behaviour of experienced online shoppers was found to be different from findings of previous literature that examined initial adoption and intention. Due to the lack of distinction in the literature concerning experienced and inexperienced shoppers, our results show inconsistencies with prior research in examining ORI.

The paper suggests that future research consider multicultural analysis, atmosphere design, developing internet methodology and the role of flow experience in determining ORI. The research limitations and implications are also discussed.

By realizing the differences between inexperienced shoppers and experienced shoppers, online retailers should segment these groups more effectively and should implement a different marketing strategy to target the right segment, right shoppers along with the right marketing tactic. The antecedents of future intention of online shopping are influenced by various variables because the human behaviour is sophisticated in nature. Thus, academicians and practitioners should realize the implications of examining their target population/market based on an assessment of different antecedents.

This study is among the few attempts to examine attitudes and behaviour of Malaysian experienced online shoppers who have formed relevant experiences and skills in online shopping. Additionally, the paper empirically examine and distinct user perception of online retail attributes (including PU, PEOU, PV and PR), pre-purchase user attitudes (including TRT, PC, IL) and post-purchase users attitudes (including SAT) in forming ORI simultaneously.

In an emerging market, understanding shoppers' behavior in an online market is essential to developing online retail strategies. This research study examines the effects of intrinsic factors, namely, perceived utilitarian, hedonic value, materialism, fashion interest and enjoyment, on impulsive online shopping with mediating role of trust and online shopping attitude in the Indian emerging market.

Data are collected from 443 Indian respondents, using purposive and snowball sampling. The data were analyzed using the IBM Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) package using structural equation modeling.

The results showed that perceived utilitarian, hedonic value, materialism and enjoyment factors significantly impacted perceived trust and online shopping attitude, but fashion interest had no effect. Mediating factors positively impacted impulsive online shopping and showed a significant association between intrinsic factors and impulsive online shopping.

The geographical area of study was limited to only India. Consequently, the findings and conclusions of the study had their limits. The research used the information continuum with a purposive and snowball approach that does not necessarily generalize the findings of the analysis. This work looked at factors stimulating the impulsive online shopping pattern of Indian shoppers in an emerging market.

This research would help e-retailers develop new strategies and plans to increase sales volume and create strong relationships with online customers by providing trustworthiness and security in buying practices.

This study helps to understand the consumer impulsive buying during coronavirus disease 2019 (COVID-19), and it helps e-retailers to adopt a new online store to draw the attention of the consumers and enhance their online sales.

In this COVID-19 situation, this study explores the inherent factors influencing impulsive online shopping in the emerging Indian market. As a result, it contributes to visual identity literature by expanding the field of impulsive online shopping behavior.

The growth in online shopping activities has made online reviews a useful information source for customers. At the same time, the number of shoppers sharing their experiences through reviews has also increased. Not enough research has been undertaken in the past to examine a comprehensive set of factors that influence review posting behaviour. Further, the influence of personality traits on such behaviour is mostly unexplored. The study aims to examine the impact of the system’s usefulness and ease of use, along with shoppers’ motivation for writing reviews, namely, rewards and associated costs.

Using the 3 M model of personality traits, this paper examined the impact of these personality traits on customers’ intent towards writing online reviews. A detailed review of the literature was undertaken to ascertain the pertinent factors, and the corresponding validated scales were obtained. The primary data was collected using an offline survey method, and 275 valid responses were recorded. The hypotheses were investigated through structural equation modelling on analysis of a moment structures 22.0.

The study observed the significant effects of both ease of use and usefulness, on shoppers’ attitude. This favourable attitude was further found to have a positive effect on shoppers’ intention to write reviews. Of the eight personality traits as predictors of shoppers’ intention to provide reviews, three (neuroticism, agreeableness and openness) were observed to be significant predictors. It was noted that intrinsic rewards influenced shoppers’ intention. Conversely, extrinsic rewards were found to be insignificant in influencing shoppers’ intention. Costs had a significant negative impact on the intention to write reviews.

The study presents theoretical and managerial implications. This paper suggests that for writing online reviews, the customers must perceive the review system to be simple, convenient and easy to use. It is pertinent for them to comprehend the usefulness of such reviews. Electronic retailers must highlight how the reviews are read and considered in making buying decisions. They must develop a system that enables the review writers to know the number of shoppers who have purchased the product after reading a particular review. E-retailers must strategize to highlight the intrinsic rewards available for shoppers to motivate them.

The present study examines the factors that motivate and influence shoppers to write online reviews. Using the conceptual framework of technology acceptance model, the self-determination theory and the 3 M framework of personality traits, the study investigates the factors that motivate shoppers to write reviews. The most significant aspect of the present study is the inclusion of eight personality traits for deciphering the relationship between personality traits and the intention to write reviews.

Fast-growing online retail market provides convenience for customers. But it makes competition among online retailers fiercer as well. Online retailers need to improve online shoppers’ satisfaction level for the purpose of keeping their loyalty. As an important component in online retail market, logistics service affects online shoppers’ satisfaction level. By applying expectation confirmation theory, the purpose of this paper is to explore how customized logistics services (CLS) influences online shoppers’ satisfaction level and whether the relationship between them is moderated by product type.

Data were collected from Tmall.com, the biggest online retail market in China. Exploratory factor analysis and two-way ANOVA were conducted to analyze the data.

The results indicate that CLS positively impacts online shoppers’ satisfaction level. But product type does not have moderate effect on the relationship between CLS and online shoppers’ satisfaction level.

Online retail market grows fast. As the number of retailers keeps increasing, competition in this market becomes fiercer. In order to attract new shoppers and increase shoppers’ loyalty, online retailers must make shopper satisfied with their purchase. CLS positively impacts online shoppers’ satisfaction level, online retailers should offer shoppers CLS.

This study examines how customized logistics influences customer satisfaction, and extends literatures related to online customer satisfaction by integrating the factor CLS and opens the way for other studies related to logistics service customization. Furthermore, this study discusses how IoT will improve online retailers’ abilities in providing CLS.