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The purpose of this research is to analyse the influence of mobile word of mouth (m-WOM), received at the physical store, which “challenges” the consumer's preferences in a webrooming experience. The impacts of the social relationship between the sender and the receiver of the m-WOM and product category (electronics versus fashion accessories) are examined.

An online experiment was carried out which manipulated the presence and type of challenging m-WOM, and product category, in a 3 × 2 between-subjects factorial design. The participants were 204 consumers recruited through a market research agency. Their perceptions about the helpfulness of the m-WOM, and their product preferences and choices, were analysed.

Receiving in-store m-WOM was perceived as helpful by webroomers and affected their preferences and choices. For electronics online reviews posted by anonymous customers were more influential than friends' opinions, whereas the opposite was the case with fashion accessories. The trustworthiness and expertise of the m-WOM source may explain the effects of m-WOM.

m-WOM entails challenges and opportunities for retailers in the omnichannel era. The findings suggest that allowing customers to access m-WOM may be beneficial; however, retailers must consider the type of m-WOM that may be most suitable for their businesses. Recommendations for referral and review sites are also offered.

This study examines the impact of challenging m-WOM on shopping experiences, combining online, mobile and physical channels. The results revealed the importance of the information source and product category in the determination of consumers' perceptions of helpfulness, preferences and choice.

This research aims to identify whether subsequent consciousness of having been in a flow state – that is, flow consciousness – regarding an earlier impulse purchase affects consumers' post–purchase behaviours, specifically their feelings of consumer regret.

The study applied a mixed methodology. First, the authors conducted two qualitative studies (focus groups) to establish the relationships between flow, flow consciousness and regret. Second, the authors conducted a quantitative study using data collected through an online questionnaire. Participants were asked to recall a recent shopping experience. To conduct confirmatory factor analysis, the authors gathered data from 304 consumers who had searched for, and purchased, a product on Amazon (www.amazon.com). Structural equation modelling, based on covariance, was used to test the hypotheses.

Flow consciousness is found to reduce consumer regret after an impulse purchase.

Online retailers should make consumers aware of the flow state they have experienced. Flow states lead to increased impulse buying, and if consumers are made aware that they were in a flow state, it may reduce any regret they feel after the purchase.

This is the first study to examine the effects of flow consciousness on consumer behaviour after an impulse purchase. In particular, research has not analysed the effects that flow consciousness has on negative feelings experienced after the impulse purchase of a product.

The purpose of this paper is to examine the influence of consumers’ perceived enjoyment and usefulness on their intention to follow and recommend an official account of a brand community on Instagram through satisfaction, following a perception-evaluation-intention chain.

The present study suggests that both perceived enjoyment and usefulness have a positive influence on satisfaction, which in turn affects intended following and recommendation of an account on Instagram. Data are collected from 548 members of a fashion brand community official Instagram account. After the validation of measurement scales, the hypotheses are contrasted using a structural equation model.

Results show that both perceived enjoyment and usefulness have a positive effect on satisfaction with the Instagram account, which in turn positively affects the intention to follow and recommend the account. Specifically, satisfaction fully mediates the influence of perceptions on intentions, except for the influence of perceived usefulness on intended recommendation as these variables are also directly linked.

The findings help managers to understand consumers’ behavioral intentions on Instagram and note the relevant role of perceived enjoyment and usefulness in creating a satisfactory experience in this context.

Nowadays, brands and users are continuously joining Instagram and, as a result of its growing importance, there is a need to better understand consumer behavior in this context. This research analyses the antecedents of both the intention to follow and recommend an account on Instagram.

The automation of services is rapidly growing, led by sectors such as banking and financial investment. The growing number of investments managed by artificial intelligence (AI) suggests that this technology-based service will become increasingly popular. This study examines how customers' technology readiness and service awareness affect their intention to use analytical AI investment services.

Hypotheses were tested with a data set of 404 North American-based potential customers of robo-advisors. In addition to technology readiness dimensions, the potential customers' characteristics were included in the framework as moderating factors (age, gender and previous experience with financial investment services). A post-hoc analysis examined the roles of service awareness and the financial advisor's name (i.e., robo-advisor vs. AI-advisor).

The results indicated that customers' technological optimism increases, and insecurity decreases, their intention to use robo-advisors. Surprisingly, feelings of technological discomfort positively influenced robo-advisor adoption. This interesting finding challenges previous insights into technology adoption and value co-creation as analytical AI puts customers into a very passive role and reduces barriers to technology adoption. The research also analyzes how consumers become aware of robo-advisors, and how this influences their acceptance.

This is the first study to analyze the role of customers' technology readiness in the adoption of analytical AI. The authors link the findings to previous technology adoption and automated services' literature and provide specific managerial implications and avenues for further research.

Considering the increasing impact of Artificial Intelligence (AI) on financial technology (FinTech), the purpose of this paper is to propose a research framework to better understand robo-advisor adoption by a wide range of potential customers. It also predicts that personal and sociodemographic variables (familiarity with robots, age, gender and country) moderate the main relationships.

Data from a web survey of 765 North American, British and Portuguese potential users of robo-advisor services confirm the validity of the measurement scales and provide the input for structural equation modeling and multisample analyses of the hypotheses.

Consumers’ attitudes toward robo-advisors, together with mass media and interpersonal subjective norms, are found to be the key determinants of adoption. The influences of perceived usefulness and attitude are slightly higher for users with a higher level of familiarity with robots; in turn, subjective norms are significantly more relevant for users with a lower familiarity and for customers from Anglo-Saxon countries.

Banks and other firms in the finance industry should design robo-advisors to be used by a wide spectrum of consumers. Marketing tactics applied should consider the customer’s level of familiarity with robots.

This research identifies the key drivers of robo-advisor adoption and the moderating effect of personal and sociodemographic variables. It contributes to understanding consumers’ perceptions regarding the introduction of AI in FinTech.

With the popularity of mobile devices and new technologies, such as NFC, mobile payment, which is taking the place of credit cards and cash as the chief payment method, is attracting more and more attention. Thus, this paper aims to investigate the main determinants of mobile payment use intention and proposes a model of mobile payment adoption, integrating mindfulness as a major factor.

Data for the study were collected through an online survey of a representative sample of 414 users in the United States and 380 in Spain. Structural equation modelling (SEM) was used to verify the validity of the variables and the relationships among them.

The results showed that mindfulness, perceived ease of use, perceived usefulness, subjective norms and attitude have significant influence on mobile payment use intention.

The present study is based on samples from only the United States and Spain, which limits generalization of the results. The notion of mindfulness is new in mobile payment adoption research, so future studies should analyze in more detail and in depth its effect on these adoption processes.

This is the first study to incorporate mindfulness into a mobile payment adoption process. Incorporating mindfulness complements traditional variables to show how users address the adoption process (e.g. novelty seeking, engagement, anxiety, attention paid).

With social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships.

Data from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses.

Higher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice.

Management tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment.

This research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.

The purpose of this paper is to examine, among the possible causes, whether trust in the leader is one of the most relevant factors on the success of a virtual work team by analyzing different antecedents of the trust and its consequences.

The influence that certain physical and behavioral characteristics of the leader (attractiveness, empathy and justice) exert on the degree of trust is evaluated. On the other hand, the influence of trust on the efficiency of the team, in terms of organizational citizenship behavior and commitment, is analyzed. To test the model, a survey was conducted on real work teams and the data were analyzed through a model of structural equations.

The results support the hypotheses and consequently, the relevance of trust in the leader. Specifically, the leader’s physical and behavioral characteristics have a significant effect on the trust in the leader. This trust results in greater organizational efficiency.

Despite the undisputable growth in the number of companies using virtual teams, it is also true that many of these teams fail to perform. In this sense, this paper analyzes if certain factors related to leadership can be relevant when influencing the efficiency of a virtual work team. This paper contributes to a better understanding of the internal processes within a virtual team in order to maximize the chances of success in this type of organizations.