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The internet has become mainstream in everyday communications and transactions. This research aims to provide a segmentation analysis for the online market based on the various uses of the internet.

A review of the online consumer segmentation literature is first conducted. Survey method and cluster analysis techniques are used in the empirical study. A sample of 407 participants that belonged to a large consumer panel adequately responded to an online survey and provided their pattern of internet use, internet experience, and psychological characteristics.

The analysis shows that the online consumers form three global segments: the basic communicators (consumers that use the internet mainly to communicate via e‐mail), the lurking shoppers (consumers that employ the internet to navigate and to heavily shop), and the social thrivers (consumers that exploit more the internet interactive features to socially interact by means of chatting, blogging, video streaming, and downloading). Subsequent χ² and ANOVA tests illustrate that consumers from these segments exhibit significantly divergent demographic and experience profiles.

The results indicate that online consumers differ according to their pattern of internet use. The results have external and ecological validity; however, they lack the control provided in a laboratory experiment. Future research should examine if the findings can be replicated using behavioral measures.

Practitioners that plan to follow a resource‐based approach should consider the distinctive characteristics of the online market segments for an optimal allocation of marketing expenditure. Marketing and advertising strategies can be developed according to the customer's online segment. Further, online marketers can use the demographic and experience profiles to predict their customer's segment.

This paper is the first to perform a segmentation analysis to the online consumer market according to internet use pattern. The results show that usage can reliably be used as a segmentation base. Managerial and theoretical implications are furnished.

The purpose of this research paper is to apply the ABC model and examine the attitudinal segmentation of online consumer in India in terms of internet usage, perceived risks, website attributes, intent to do online purchase in future and preference of website attributes.

A structured questionnaire was administered to 600 online consumers using field and online survey mediums. The logit analysis was applied to arrive at segmentation of online users.

Findings show how attitudes are different of online users when they were segmented based on internet usage. This segmentation showed attitudes that were paradoxical in nature. To explain this paradoxical behaviour of online buyers, this study applied the logit analysis. The online users were further examined applying the ABC model of attitude. Three distinct segments of online users emerged. They are: CAB, CBA and BCA.

The findings of this paper will be useful for online retailers who want to start e-commerce business in India. The findings are also useful for designing appropriate promotion and marketing strategies to entice online users to become online buyers.

The key contributions of this paper are the new insights from using the ABC model. Based on usage of internet in number of hours, online buyers could be segmented into four groups. On further analysis using ABC model, this studied showed that a better segmentation of online buyers is possible and that is called attitudinal segmentation. The BCA attitudinal segment is a finding of this study and is unique to this research. This has not been done using Indian online buyers and this adds to the originality of the study.

This chapter aims to examine the role of consumer demographics over the chosen parameters of online shopping. Online shopping had emerged as an important platform for the consumers during the phase of pandemic spread in India which even included several phases of lockdowns. The state of pandemic commenced at a severe note leading to restrictive movement, social distancing, observing least contact with objects, and several other limitations. Due to this, many businesses had moved to online selling in order to target greater sales. This study was conducted in order to provide insights to various businesses, experts, and academic researchers in this domain to find out the role of demographical and behavioral differences of different consumer segments. It could serve as a robust study providing information about the current consumer behavior at the time of pandemic spread toward online shopping. This would help marketing experts explore the different opportunities and challenges involved in this new scenario formed due to COVID-19. Apart from adding value to the existing literature, this study leads a way to future research.

In the most recent years, social, innovative, economic and political changes in the European context have characterized consumers' behaviours. The paper aims to understand if the use of electronic commerce differs in a situation characterized by uncertainty.

An innovative approach to categorising online consumer behaviour considers the self-determination theory and basic psychological needs in an uncertain scenario. The research is based on a quantitative analysis obtained by clustering algorithms on a sample of 1,000 digital users in European countries. A structured questionnaire was administered online and distributed through the leading online social platforms and direct mailing.

The results show online activities during changes in consumer behaviour patterns and retailers' strategies. This research will allow online retail managers and practitioners to obtain important information to help them define appropriate customer-oriented strategic actions to enhance value in the electronic context for both customers and firms.

The innovation of this research approaches the categorization of online consumer behaviour by exploiting the self-determination theory in an uncertain scenario. Precisely, the novelty of this research is to highlight three detailed categories of electronic commerce consumers, namely, unwilling, halfback and digital, to collect, store and disseminate information about these categories of Online Consumers Behaviours.

The purpose of this paper is to integrate food-related lifestyle (FRL) approaches and perspectives from the theory of planned behavior (TPB) to investigate the profiles of consumers who purchase organic food online and to analyze differences in the related behaviors of consumers with different FRLs.

A link to a web site explaining the content and presenting an online questionnaire was provided through the e-newsletters of five well-known Taiwanese organic food distributors. Respondents were given NT$50 e-gift coupons after they had completed the questionnaire. A total of 950 questionnaires were distributed, and 753 valid samples were obtained.

Attitudes toward purchasing organic food online had the greatest positive influence on purchase intentions, followed by cognitive control and, finally, subjective norms. Populations with different FRLs were divided into traditional food, uninvolved food, and enthusiastic food shoppers, and these all showed significant differences with respect to the TPB model, their online organic food purchasing profiles, and demographic variables.

Organic food businesses draw on various features of the internet to solve issues such as the difficulty of storing and transporting perishable food items. However, few studies have combined theories of online consumer behavior with food characteristics and psychographic approaches to analyze the overall consumer profiles of purchasers of organic food. The author believes that the conclusions of this study may be used by the food industry to analyze consumer demand, draw inferences about organic food-related habits in consumers’ everyday lives, and design more appropriate internet marketing strategies.

The spread of coronavirus disease (COVID-19) has drastically changed the entire market structure and shopping behaviors across the world. While shoppers rushed toward e-commerce platforms during the pandemic, the key debate that rose was on how this behavior will evolve post COVID-19. The purpose of this study was to explore the different categories of e-commerce platforms’ users and propose a distinctive customer typology in the era of the COVID-19 pandemic.

An exploratory qualitative research design was adopted because of the novelty of the subject. In total, 43 participants were interviewed, including 27 consumers and 16 experts in the field of e-commerce.

Based on the findings, this study distinguishes between two stages of e-commerce usage during the pandemic. Furthermore, this study identifies four key typologies of e-commerce shoppers that are expected to form at the end of the coronavirus: duty-bound, e-watcher, makeshift and onli-vorous shoppers. The characteristics and businesses strategies pertaining to each of the identified groups are discussed.

To the best of the authors’ knowledge, this research is among the first to identify the different stages, while proposing an innovative typology of e-commerce platform post COVID-19. This study also offers useful recommendations to deal with similar future crises.

The purpose of this paper is to demonstrate the importance of user-motivation as well as demographics in developing an effective segmentation strategy of Facebook users. Additionally, the paper seeks to add validity to the scale developed by Park et al. (2009) by using a full spectrum of Facebook users.

A self-administered survey was employed to explore access motivations, frequency and session duration of Facebook users. The survey was e-mailed to 2,129 potential respondents with 530 valid responses received. Data were initially analysed by hierarchical cluster analysis to develop the cluster solution. Cluster means were then used as cluster centres for a K-means cluster analysis for all cases. The relationship between the clusters and Facebook activity variables was investigated through ANOVA while independent samples t-tests were employed to analyse the relationship between motivations and demographics. Lastly χ2-tests were used to explore the relationship between Facebook user segments and demographics.

The results indicate four distinct types of Facebook users: Devotee, Agnostic, Socializer and Finder. Devotees were highly positive about Facebook use while Agnostics were least motivated to use Facebook. Socializers were motivated to use Facebook for socializing and entertainment while Finders were motivated to use Facebook for information seeking. These four distinct groups are validated by examining their individual behaviour regarding frequency of access to Facebook and the average amount of time spent on Facebook per visit. Demographic variables such as gender and age were found to be significantly related to Facebook user-motivation and segmentation.

For marketers who communicate with market segments via social media, the findings of this study are highly significant. To date, marketers have found it difficult to fully exploit the benefits of Facebook. The authors argue this is due to a tendency to consider Facebook users as a single segment rather than understanding the nuances of different user segments. This research provides marketers with a motivation and demographic segmentation strategy for Facebook users.

Despite the popularity of Facebook as a communication channel, from a marketing perspective little is known regarding Facebook user segments. This research addresses this gap by undertaking a segmentation study of Facebook users. A segmentation typology is developed in which both Facebook user motivations as well as demographic variables are found to be useful in describing user segments. Additionally, the study makes important theoretical contributions by extending uses and gratifications theory to the Facebook context and adding validity to the scale developed by Park et al. (2009) for use with the full spectrum of Facebook users.

This study aims to explore the opposite effects of single-category versus multi-category products information diversity on consumer decision making. Further, the authors investigate the moderating role of three categories of visitors – direct, hesitant and hedonic – in the relationship between product information diversity and consumer decision making.

The research utilizes a sample of 1,101,062 product click streams from 4,200 consumers. Visitors are clustered using the k-means algorithm. The diversity of information recommendations for single and multi-category products is characterized using granularity and dispersion, respectively. Empirical analysis is conducted to examine their influence on the two-stage decision-making process of heterogeneous online visitors.

The study reveals that the impact of recommended information diversity on consumer decision making differs significantly between single-category and multiple-category products. Specifically, information diversity in single-category products enhances consumers' click and purchase intention, while information diversity in multiple-category products reduces consumers' click and purchase intention. Moreover, based on the analysis of online visiting heterogeneity, hesitant, direct and hedonic features enhance the positive impact of granularity on consumer decision making; while direct features exacerbate the negative impact of dispersion on consumer decision making.

First, the article provides support for studies related to information cocoon. Second, the research contributes evidence to support the information overload theory. Third, the research enriches the field of precision marketing theory.

The purpose of this paper is to investigate the multidimensional concept of mobile banking service quality (security/privacy, practicity, design/aesthetics, enjoyment and sociality) and the impact of the latter on the quality of the relationship (commitment, trust and satisfaction) between consumers and their primary financial institution.

An online survey was conducted using a sample of 375 respondents, all owners of a mobile device and all accustomed to conducting banking activities on mobile platforms. Results were analyzed using structural modeling techniques (EQS 6.1).

Findings confirm that trust significantly and positively impacts commitment/satisfaction. Mobile banking service quality dimensions also influence trust and commitment/satisfaction. Trust is associated with security/privacy and practicity (regarded as utilitarian factors), while commitment/satisfaction is driven by enjoyment and sociality (dimensions more hedonic by nature). No link is found between interface design and either trust or commitment/satisfaction.

This study contributes to bank marketing theory since it is the first to demonstrate how key mobile banking service quality dimensions drive customer perceptions of relationship quality. In doing so, this research extends beyond mobile adoption (short term) by addressing customer engagement with financial institutions and issues relating to relationship quality (long term). Regarding managerial implications, findings signal to marketers in the financial services industry the importance of not underestimating the power of hedonic factors (sociality and enjoyment) when developing mobile platforms. These dimensions are often overlooked in the banking industry, a sector in which consumers are believed to be mostly driven by utilitarian motives.

Despite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.

This research used quantitative method by using online survey administered to a sample of 733 social media users.

The findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.

This study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.

This paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.

The paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.