Purpose – 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. Design/methodology/approach – 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. Findings – 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. Practical implications – 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. Originality/value – 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.

Purpose: The purpose of this paper is to explore the role of emotions in developing customer engagement and brand image during virtual service interactions. The authors explore the concept of engagement platforms (EPs) and how their extrinsic characteristics or cues (i.e. C2C interactions–and personalization-related cues) originate both non-transactional (i.e. customer engagement and brand image) and transactional (i.e. purchase intentions) responses. Specifically, the authors propose that customer emotions (i.e. pleasure, arousal and dominance) mediate the influence of EP cues on customer responses. The authors also analyze how the engagement developed during interactions in EPs contributes to brand image perceptions and the effect of these two concepts on purchase intentions.Design/methodology/approach: Building on servicescapes and stimulus-organism-response theories, the present paper carries out two studies. Study 1 adopts an experimental approach to explore C2C interactions–and personalization-related cues. Study 2 focusses on the importance of customer emotions to foster engagement and brand image, and also analyzes their effect on purchase intentions. It employs structural equations modeling techniques. Both studies analyze the effect of customer engagement on brand image.Findings: Findings corroborate that, during interactions in the platform, customer engagement with the firm influences brand image. Moreover, the pleasure and arousal experienced by customers influence their engagement while dominance modifies brand image. Finally, customer engagement and brand image have a positive effect on purchase behavior.Research limitations/implications: This paper contributes to research demonstrating the key role of emotions in interactions with EPs. The authors demonstrate the importance of fostering pleasant and arousing experiences to enhance the level of customer engagement with the firm in first interactions. Dominance constitutes a key dimension to improve brand image in EPs. Finally, the research demonstrates that engagement develops customers’ transactional behaviors and not only non-transactional ones, as seen in previous literature.Originality/value: In digital worlds, EPs emerge as touch points beyond purchase that allow individuals to integrate resources and co-create value between them and with the firm. Despite the interest of BCPs, few works have analyzed how interactions with these platforms and the elicited emotions contribute to developing customer engagement and brand image, key factors for understanding customer participation and behavior in interactive media.

Purpose: The proliferation of social commerce websites has allowed consumers to share and exchange information, experiences, advice and opinions. Recently, information provided by users has been considered more trustworthy than the information shared by companies. However, the way in which users interact with technology can vary with age, and generational cohorts show different shopping behaviors, interests and attitudes. Hence, the way users process information (user-generated vs company-generated) can affect trust differently. Drawing on the trust transfer theory and the generational cohort theory, the purpose of this paper is to analyze the effects on user- and company-generated information in boosting trust of three different cohorts (Generation X, Y and Z). Design/methodology/approach: The data were collected through an online survey. The sample comprised 715 users of social commerce websites, aged between 16 and 55 years old. The study was analyzed using partial least squares with the statistical software Smart PLS 3. Findings: The empirical results show that generational cohorts show different patterns. Generation X transfers trust to social commerce websites mainly from trust in information generated by companies, while Generation Z transfers trust mainly from information generated by users. Finally, Generation Y, in contrast to previous findings about millennials, develops trust based on company-generated information to an even greater extent than does Generation X. Originality/value: The originality of this study lies in its analysis of generational differences when it comes to trusting one type of information over another. This study contributes to the idea that users cannot be considered as a whole but must be segmented into generational cohorts.