With the development of deep connections between humans and Artificial Intelligence voice‐based assistants (VAs), human and machine relationships have transformed. For relationships to work it is essential for trust to be established. Although the capabilities of VAs offer retailers and consumers enhanced opportunities, building trust with machines is inherently challenging. In this paper, we propose integrating Human–Computer Interaction Theories and Para‐Social Relationship Theory to develop insight into how trust and attitudes toward VAs are established. By adopting a mixed‐method approach, first, we quantitatively examine the proposed model using Covariance‐Based Structural Equation Modeling on 466 respondents; based on the findings of this study, a second qualitative study is employed to reveal four main themes. Findings show that while functional elements drive users' attitude toward using VAs, the social attributes, being social presence and social cognition, are the unique antecedents for developing trust. Additionally, the research illustrates a peculiar dynamic between privacy and trust and it shows how users distinguish two different sources of trustworthiness in their interactions with VAs, identifying the brand producers as the data collector. Taken together, these results reinforce the idea that individuals interact with VAs treating them as social entities and employing human social rules, thus supporting the adoption of a para‐social perspective.

Understanding how branded storytelling content impacts consumer engagement (CE) is needed to advance research in this topical field and better calibrate story elements. This paper aims to understand the interplay between branded storytelling content and CE, considering the different features of stories and the multidimensional nature of engagement. It takes a netnographic approach to a collection of consumer responses − close to 1,000 rich comments offered in four languages − to digital videos posted on YouTube by the brand Dove. Findings reveal that story plot, characters, and verisimilitude trigger consumer engagement by activating cognitive, emotional, and behavioral responses in a certain sequence and with variable intensities and valences. The results, as well, show the important interactive aspect of story-based engagement. The paper contributes to CE research by offering a framework linking branded storytelling with CE, which is applicable by managers to design effective storytelling content.

PurposeExtant research mainly focused on potentially negative customer responses to service robots. In contrast, this study is one of the first to explore a service context where service robots are likely to be the preferred service delivery mechanism over human frontline employees. Specifically, the authors examine how customers respond to service robots in the context of embarrassing service encounters.Design/methodology/approachThis study employs a mixed-method approach, whereby an in-depth qualitative study (study 1) is followed by two lab experiments (studies 2 and 3).FindingsResults show that interactions with service robots attenuated customers' anticipated embarrassment. Study 1 identifies a number of factors that can reduce embarrassment. These include the perception that service robots have reduced agency (e.g. are not able to make moral or social judgements) and emotions (e.g. are not able to have feelings). Study 2 tests the base model and shows that people feel less embarrassed during a potentially embarrassing encounter when interacting with service robots compared to frontline employees. Finally, Study 3 confirms that perceived agency, but not emotion, fully mediates frontline counterparty (employee vs robot) effects on anticipated embarrassment.Practical implicationsService robots can add value by reducing potential customer embarrassment because they are perceived to have less agency than service employees. This makes service robots the preferred service delivery mechanism for at least some customers in potentially embarrassing service encounters (e.g. in certain medical contexts).Originality/valueThis study is one of the first to examine a context where service robots are the preferred service delivery mechanism over human employees.

Purpose By adopting a social presence theory perspective, this study aims investigate the influence of perceived usefulness of live chat services and of their unique human attributes on customer attitudes, beliefs and behaviours in the context of online travel shopping. Design/methodology/approach Based on a cross-sectional survey research involving 8 travel provider websites and 631 travel consumers, this work applies structural equation modelling to analyse the data. Findings The results illustrate that the perceived usefulness from the communication with a human live chat assistant positively influences customer attitudes and trust towards the website as well as increasing purchase intention. The findings further illustrate the role of the human social cues conveyed by live chat facilities, namely, human warmth, human assurance, human attentiveness and human customised content in positively moderating this effect. Research limitations/implications The study is limited to specific human attributes. Future research could investigate the role of other human characteristics as well as assess the ability of artificial intelligent powered chatbots in replicating the human elements outlined in this research. Originality/value The study provides a unique contribution to the travel literature by offering empirical insights and conceptual clarity into the usefulness of human operated live chat communication on travellers’ attitudes, trust towards the website and purchase intentions.

Social media platforms are facing increasing tensions in balancing the desire to maintain freedom of expression with limiting the spread of fake news and misinformation. This study investigates whether giving primacy to the source of misinformation on Facebook influences users' sharing behaviour. Two experimental studies show that when fake news is presented in a source‐primacy format, users are less likely to share the post because of reduced trust in the message and increased perceptions of deceptive intent. Additionally, this effect persists only when the person sharing the fake news has a weak interpersonal relationship with the receiver. The study extends current understanding of how misinformation is shared and provides insights into how presentation formats can be used to limit the spread of fake news without restricting freedom of speech.