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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.

The objective of this paper is to analyse whether individuals' socioeconomic characteristics – age, gender and income – influence their online shopping behaviour. The individuals analysed are experienced e‐shoppers i.e. individuals who often make purchases on the internet.

The technology acceptance model was broadened to include previous use of the internet and perceived self‐efficacy. The perceptions and behaviour of e‐shoppers are based on their own experiences. The information obtained has been tested using causal and multi‐sample analyses.

The results show that socioeconomic variables moderate neither the influence of previous use of the internet nor the perceptions of e‐commerce; in short, they do not condition the behaviour of the experienced e‐shopper.

The results obtained help to determine that once individuals attain the status of experienced e‐shoppers their behaviour is similar, independently of their socioeconomic characteristics. The internet has become a marketplace suitable for all ages and incomes and both genders, and thus the prejudices linked to the advisability of selling certain products should be revised.

Previous research related to the socioeconomic variables affecting e‐commerce has been aimed at forecasting who is likely to make an initial online purchase. In contrast to the majority of existing studies, it is considered that the current development of the online environment should lead to analysis of a new kind of e‐shopper (experienced purchaser), whose behaviour differs from that studied at the outset of this research field. The experience acquired with online shopping nullifies the importance of socioeconomic characteristics.

While marketers want to drive higher repurchases for better business sustainability, repeat shopping experiences may change customer perceptions of the online channel, resulting in the emergence of new segment typologies. Therefore, the purpose of this paper is to explore the segmentation of online clothing shoppers using a repeat online clothing shopper base. Further, it analyses segment positions in a perceptual space to derive relevant positioning insights for the various segments.

Segmentation is done using dual bases of e-lifestyle and website quality factors for which the scales are derived from literature and then adapted and validated using a two-phase process across two samples of 271 and 644 experienced shoppers, respectively, in India. Positions of the segments are explored using the discriminant analysis-based perceptual mapping technique.

Three segments are found, namely disengaged averse online shoppers, interactive convenience seekers and adept online shopping optimists with the latter two having a higher propensity to purchase clothes online. Perceptual mapping of the segment positions reveals dimensions, which can be used for appropriate positioning.

The research methodology may be replicated for other products and country contexts, and additional factors may be explored for further insights.

The study reveals insights on the evolving nature of segments as shoppers gain experience of online shopping for clothes and highlights the varied reasons for the growing acceptability of the online channel. The findings reveal key targeting and positioning strategies for e-marketers.

This is one of the first studies of its kind in India, which explores the segmentation of repeat online clothing shoppers in India using dual bases. Another distinctive feature of the study is its use of the perceptual mapping technique to draw inferences about factors that differentiate multi-segment buying behavior.

To use the theory of planned behavior (TPB) as a theoretical framework to explore in depth the range of beliefs held by consumers about internet shopping in general and internet grocery shopping in particular.

Seven focus group interviews, four in the United Kingdom and three in Denmark, were conducted among consumers with different degrees of experience with internet grocery shopping. This diversification of respondents was chosen to capture a broad range of the consumer beliefs that predict intentions to buy groceries online or not. The TPB framework was used to construct the interview guide that was followed in all focus groups.

An unexpected result of the explorative study was that the seven groups consisting of more or less experienced internet shoppers differed only little in their pool of beliefs (outcome and control beliefs). Beliefs about internet grocery shopping, positive as well as negative, were remarkably congruent across groups. In the minds of consumers, internet grocery shopping is an advantage compared with conventional grocery shopping in terms of convenience, product range and price. Disadvantages, which could act as mental barriers, are, for instance, the risk of receiving inferior quality groceries and the loss of the recreational aspect of grocery shopping.

An important potential limitation of this research is the choice of focus groups as research methodology, which can prevent the elicitation of certain types of beliefs. If important beliefs concern issues of a more sensitive, personal character they are not likely to be mentioned in a focus group. Another limitation is the explorative nature of the research, which makes it impossible to attach weights to the importance of the elicited beliefs in predicting internet shopping behavior.

The findings could be used to direct attention to consumer beliefs about internet grocery shopping which have the potential of acting as barriers to this line of e‐commerce.

To shed some light on the role of consumers in an underperforming and understudied branch of internet retailing. Barriers in the consumers' minds to shop for groceries online are identified using an established theoretical framework.

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 investigate how geographic cues embedded in a website affect Chinese consumers’ cross-border shopping experiences. The study simultaneously explores the effect of telepresence on shoppers’ perceptions of product authenticity and their trust in retailers, key drivers of behavioral intentions.

Two experimental conditions were utilized. Geographic cues depicted a famous shopping district in the retailer’s country (South Korea) or the shopper’s country (China). Study participants were female Chinese consumers in their 20s and 30s who had purchased Korean fashion products in the past (n=236). Structural equation modeling was conducted using AMOS 21.0.

Results indicate that participants in the “retailer’s country” experimental condition experienced higher telepresence and greater perceptions of product authenticity. Furthermore, telepresence increased participants’ trust in the retailer and perceived product authenticity, which led to positive behavioral intentions.

Findings offer important implications for cross-border online retailing. First, results suggest a highly successful tactic for enhancing shoppers’ perceptions of product authenticity and retailer trust on a cross-border platform. Second, cross-border online business professionals should focus on the role of telepresence. Finally, this study provides insight about Chinese cross-border shoppers.

This study contributes to the literature on cross-border online shopping. It suggests that the strategic use of geographic cues on a website can provide an experiential benefit, telepresence, to cross-border shoppers. The study’s findings provide a novel insight into possible unique success factors in cross-border e-commerce.

Based on the foundations of the schema theory, the elaboration likelihood model (ELM) and customer experience literature, this research examines how the interplay between a consumer's previous shopping experience(s) and perceived credibility of negative online word-of-mouth (PCNWOM) leads to improved consumer–firm relationship quality (RQ).

The authors utilised series of scenario-based experiments (N = 918) to test the research hypotheses.

The authors show that a focal customer's previous shopping experiences attenuate the perceived credibility of negative word-of-mouth on social media by other customers, which in turn weakens consumer–firm RQ. The authors also show that positive and negative perceptual experiences are asymmetric.

First, the online shopping experiences described in the experimental scenarios were generic and did not refer to any particular product/service. Thus, calibrating products and services into categories, and studying how product type differences impact online shopping experiences warrant further research.

From a practical perspective, the authors demonstrate that not only does enhancing consumer–firm relationship quality demand meticulous integration of consumers' website and social media experiences but also in positive vs negative perception scenarios, RQ wane as review frequency increases.

The authors contribute significant insight into the existing literature by specifically adopting the premise that consumers' previous online shopping experience(s) will influence how credibly they will perceive negative online WOM posted on social media.

The purpose of this paper is to explore the dimensions of online customer experience (OCE) and their impact on satisfaction and loyalty in the clothing e-retail context. Furthermore, it explores the influence of gender on the OCE-satisfaction-loyalty chain.

OCE dimensions were drawn from the literature and then adapted and validated using two samples (217 – exploratory factor analysis, 651 – confirmatory factor analysis) of experienced online clothing shoppers in India. An analysis was done using structured equation modelling.

Six OCE psychological factors and four OCE functionality factors were revealed. Both OCE dimensions impact loyalty either directly or indirectly through satisfaction. Gender is observed to moderate the relationship among three OCE factors (e-distrust, e-negative beliefs and website interactivity) and satisfaction.

The research results are limited to the factors related to each of the two OCE dimensions explored within the clothing e-retail context in India.

Clothing e-retailers need to focus on both the OCE dimensions to drive business sustenance. Furthermore, their OCE strategies should be in line with the gender-based differences highlighted by the study.

The study facilitates in the adaptation and validation of the OCE dimensions in the clothing e-retail category in an emerging market. While all factors associated with both OCE dimensions are important for driving satisfaction and loyalty, the study underscores the need for a higher focus on visual engagement by e-retailers in the given context. Gender moderates the OCE-satisfaction paths, but does not moderate the OCE-loyalty paths.

Many internet users are not able to navigate through e‐commerce web pages and reach their targets. Navigation problems lead to customers' disappointment and, as a consequence, companies fail to provide information and offer direct sales through the internet. The purpose of this paper is to profile internet users experiencing navigation problems while shopping online using socio‐demographic indicators. The application of usability is proposed as a solution to web site navigation issues.

Hierarchical segmentation and regression analysis are applied to a sample of online shoppers with navigation problems.

Socio‐demographic profiles of online shoppers with navigation problems.

This paper focuses on customers' socio‐demographic features. Other indicators, such as attitudes or behaviours, have not been considered.

Understanding the socio‐demographic profiles of customers with higher levels of navigation problems is useful for e‐commerce companies in order to provide support to user segments experiencing more difficulties.

This paper highlights the importance of usability, which has been somewhat ignored in the development of e‐commerce web sites. Demographic profiles of online shoppers experiencing navigation problems are constructed.

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.