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This paper examines the shopping and buying behavior of younger and older online shoppers as mediated by their attitudes toward internet shopping.

Over 300 students and staff from a US university completed a survey regarding their online shopping and buying experiences for 17 products.

The results show that, while older online shoppers search for significantly fewer products than their younger counterparts, they actually purchase as much as younger consumers. Attitudinal factors explained more variance in online searching behavior. Age explained more variance in purchasing behavior if the consumer had first searched for the product online.

The limitations of the present research are threefold. First, the sample was restricted to university faculty, staff and students. Second, a better measure of the hedonic motivation construct is needed. Third, additional independent measures such as income should be included to understand the additional demographic factors related to online purchase.

Retailing managers can make use of the results as describing multifaceted nature of online shopping and buying behavior. Age differences (in both directions) were seen for many product categories. In addition, results indicate that how one measures online shopping impacts on one's understanding of age effects on internet shopping. Age was negatively correlated with online pre‐purchase search but was positively correlated with online purchasing when pre‐purchase search behavior was taken into account.

The present study advances knowledge of the nature of the relationships among age, attitudes, and online shopping and buying behavior.

An exploration of factors influencing internet shopping is conducted using the theory of planned behaviour (TPB) as the theoretical base. The theory holds that a potential customer's attitude towards the behaviour and the customer's subjective norm and perceived behavioural controls can influence the intention and its eventual realisation. This paper aims to address the factors influencing internet shopping by Thai consumers in order to answer the question of how well TPB explains online shopping intentions in Thailand. Then, comparisons are made between theoretical predictions and the current situation of the use of online services by consumers in Thailand.

This study is based on a questionnaire survey asking participants what factors influence their use of the internet for shopping. Subjects are drawn from 400 graduates at four major universities in Thailand. To test the validity and reliability of the measurement models using the corrected item‐total correlations, Cronbach's α and correlations among constructs in the path model are used. Assessment is made of the importance of variables in the path model with the application of the conventional regression. All multiple items of the measures are assessed for their internal consistency by computing the corrected item total correlation and coefficient α for each composite measure.

The empirical analysis suggests that the difficulty of shopping online is seen as the factor most influencing customers' intention to shop online. In this survey and that of the NECTEC, online technology is seen as the principal barrier to using the internet for online shopping. In contrast, it is found elsewhere that a potential customer's attitude is the factor having most influence on the intention to shop.

The results of a survey of 400 consumers in Thailand showed that the factors of opinions of people around consumers and the environment of online shopping can affect their intention to shop online, and its realisation.

The purpose of this paper is to examine the relationships between the online consumer behaviour constructs of attitude, motivations and information search in order to develop an online consumer behaviour framework.

An email survey collected data from 577 UK respondents and canonical correlations are applied to examine the relationships.

The results provide empirical support that attitude is an antecedent variable, and that motivation variables have a significant causal relationship with information search variables.

Two limitations are identified. Firstly, the data collected focussed on UK respondents, consequently the generalisability of these results is in question and further research is required. Secondly, the attitude measure could include more items to further aid reliability.

This research advances the development of the Online Consumer Behaviour literature by adding knowledge on the nature of the relationships between online behaviour constructs.

In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).

This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).

DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.

This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.

The COVID-19 outbreak has disrupted the habits of customers as well as their shopping behavior. This study aims to critically examine the associated benefits and challenges of online shopping from the perspective of customers in the COVID-19 pandemic.

A systematic review of the relevant literature published between 2020 and 2022 was conducted via performing comprehensive search query in leading scholarly databases “Scopus and Web of Science” with the restriction of their predefined subject category of “Business.” Overall, 30 research studies were selected for the review and a significant number of studies were published in 2021 (n = 15).

The research findings revealed that customers are motivated to shop online because of perceived benefits such as time-saving, convenience, 24/7 accessibility, interactive services without physical boundaries, trust, website attractiveness and cost-saving. However, challenging factors such as financial scams, privacy concerns, poor quality of products and services, fake promotions and reduced social interaction have hindered the growth of online shopping. The recommendations regarding designing marketing strategies, secured transaction, multiple payment options, trust building, protection of privacy, promotion via social media, effective mechanism to secure and timely delivery of product are helpful to improve the service quality of online shopping.

The outcomes of this research are valuable to online retailers and policymakers, as it highlights how the benefits can enhance customers’ shopping intentions and minimize the impact of associated challenges. This study also recommends the redesigning of user-friendly interfaces of online shopping websites and ensures their privacy, security and performance on a regular basis.

Online shopping cart abandonment presents a major problem for online fashion apparel retailers today. This exploratory research aims to validate scales that measure antecedents of online shopping cart abandonment (OSCA) and examine how these reasons contribute to OSCA behaviour. The findings indicated that the eight different reasons (financial reasons, organisational tool, time pressure, intangibility, privacy issues, aesthetic design, social influences and entertainment factors) that drive OSCA are distinct and account for unique variance in the model, validating the measures. Also, the findings revealed that financial reasons and using the cart as an organisational tool are the top two reasons why consumers abandon their carts. This study provides researchers with a better theoretical understanding of the reasons why consumers abandon their online shopping carts. It validates the various reasons why consumers abandon their shopping carts and provides valuable managerial insights on how online marketers may enhance the translation of online browsing behaviour into actual purchases.

Innovations in technology and evolution of internet elicited the usage of technology and internet during the shopping process of consumers. Changes in consumer shopping processes opened doors for shifts in consumer buying behavior. As a result of the variations in consumer buying behavior, retailers formed new channel structures to fulfill customer requirements. New channel structures created different retailing formats and enhanced the complexity of retailing processes. As the complexity of retailing processes increased, complexity of consumer shopping behavior increased as well. In this sense, multichannel retailing emerged and expanded all around the world and paved the way for omnichannel retailing. Transformation of multichannel retailing to omnichannel retailing created two different shopping forms as: Showrooming and Webrooming. In this chapter, showrooming and webrooming concepts will be studied and the complementarity dimensions of these concepts will be explained in detail.

The tech savvy generation Z consumers constitute a significant market of online shopping. Understanding their shopping behavior is thus a pressing need to expand the e-commerce business. Under this backdrop, the study aims to predict the online shopping behavior of generation Z customers in Bangladesh.

This study used the theory of consumption values (TCV) along with shopping enjoyment to understand the online shopping behavior of generation Z. A structured set of questionnaire was used to gather the responses on a five point Likert scale. A total of 411 valid responses were considered after discarding incomplete responses. The collected data were analyzed using the partial least squares structural equation modeling (PLS-SEM) approach with the help of smart PLS 4.0 software.

The statistical findings reveal that functional value is the most significant determinant of online shopping behavior among generation Z followed by social value, conditional value and epistemic value. The study also reveals that relationship between emotional value and online shopping behavior and relationship between conditional value and online shopping behavior is moderated by shopping enjoyment.

The paper contributes to the consumer behavior literature as the findings provide a comprehensive model from values perspectives to understand online shopping behavior among Gen Z customers in a developing country like Bangladesh. The findings of this study offer important insights to the marketers also since it reveals the values consumers consider while shopping online. The findings might help practitioners develop their online strategies to expand the business.

The online brand advocacy behaviors of omnichannel shoppers, who mainly rely on integrated brick-and-mortar stores (recognized as a vital channel for delivering a seamless shopping experience and meeting the dynamic needs of the shoppers), are still understudied. This study aims to investigate how integrated store service quality (ISSQ) may elicit both positive and negative emotions that contribute to a memorable omnichannel shopping experience and have an impact on shoppers' attachment to the store, leading to their exhibition of online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study is a cross-sectional, descriptive and quantitative investigation. The research participants were chosen using a purposive sampling technique. Using a validated self-administered questionnaire, data were gathered from 886 Indian omnichannel shoppers who often purchase at the integrated brick-and-mortar store. The proposed conceptual model was tested using Smart PLS software for partial least squares-structural equation modeling.

The results indicate that positive and negative emotions mediate the relationship between ISSQ and memorable omnichannel shopping experiences, subsequently impacting omnichannel shoppers' attachment to the store and leading to online brand advocacy behaviors. The relationship strength perceived by shoppers significantly positively moderated the relationship between store attachment and different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression).

The study relied upon single cross-sectional data from the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the different emotions that arise while evaluating service quality in omnichannel retail purchase journeys leading to memorable shopping experiences. Emphasizing post-purchase behaviors like different online brand advocacy behaviors (brand defense, brand positivity, brand knowledge sharing and virtual positive expression), this study is the first to show that ISSQ might affect four different OBAs through memorable omnichannel shopping experience and the shopper's sense of attachment to the store. The moderating effect of relationship strength perceived by shoppers with the retailer on a few proposed hypotheses was also tested to give managerial recommendations.

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.