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This paper aims to determine how consumer innovativeness, susceptibility to interpersonal influence, personal norms, and innovation attribute perceptions affect the consumer decision to use, share, and own an e-scooter. The decision to use encompasses traveling using an e-scooter, sharing means using an e-scooter on a demand basis, and owning means buying an e-scooter for personal use. Consequently, this paper contributes to understanding novel mobility modes that aim to decrease the environmental problems in transport. It also develops knowledge about green innovations that could be perceived as causing more environmental problems than their traditional counterparts. A survey was conducted in Sweden with 1002 participants, who were non-users, owners, and sharers of e-scooters. Structural equation modelling showed that susceptibility to interpersonal influence and perceived safety attributes of e-scooters consistently positively influence decisions to use and own. This paper increases the understanding of factors influencing e-scooter use, sharing, and ownership, which is valuable for e-scooter businesses and service providers, transport agencies, and policy-makers

Despite the climate emergency, marketing managers in the automotive industry face challenges in stimulating demand for innovations that can decrease greenhouse gas emissions, such as electric vehicles (EVs). Applying the value-identity-personal norm model, this study investigates the influence of normative factors on eco-friendly brand experience and brand loyalty for electric vehicles. We use structural equation modelling to analyse survey data collected from owners of electric vehicles in Sweden. The results show that personal norms directly and positively impact eco-friendly brand experience but not brand loyalty. The impact of personal norms on brand loyalty is found to be fully mediated by eco-friendly brand experience. Based on the findings, we encourage future research to explore the interrelationships between norms and branding, and their potential to stimulate pro-environmental behaviour. 

Increasing the share of travelers using public transport is one way to address environmental problems such as carbon dioxide emissions. Senior citizens represent an increasingly important group in this transition, as they are increasingly mobile and make up a large share of the population. In this paper, we investigate senior citizen's mobility decision-making, focusing on public transport. Through a survey of 5,000 people in three metropolitan areas in Sweden, we find that while senior citizens desire to live in harmony with nature, they are less likely to see car traffic as a cause of environmental problems. They also struggle with the development of digital service delivery options of public transport. For instance, they use apps less, and like using timetables on paper and signs at bus stops more than younger public transport users. Even so, they are more satisfied with public transport than younger travelers, indicating that many seniors like using public transport, despite lacking the environmental motivations to do so.

Policymakers are increasingly implementing transport policies to encourage sustainable transport behaviors. However, research on how these policies influence the adoption of sustainable transport remains limited, particularly from the individual consumer’s perspective. This study examines how consumers’ emotional acceptance of transport policies—specifically, the anticipated pride and guilt-relief associated with the policies shape their intention to adopt sustainable transport. Using the case of Sweden’s environmental transport policy aimed at achieving fossil fuel independence by 2030, we surveyed 342 adults and analyzed the data using structural equation modeling. Our findings reveal that emotional acceptance of the policy significantly increases the likelihood of adopting sustainable transport (i.e. willingness to adopt an alternative fuel vehicle). Policy-related emotions enhance individuals’ perceptions of the policy’s effectiveness and foster greater support, which in turn promotes the adoption of sustainable transport options. These insights offer valuable guidance for policymakers: by complementing structural measures (such as subsidies and infrastructure investments) with communication strategies that evoke positive emotional responses, it is possible to strengthen public support for environmental transport policies and accelerate the uptake of sustainable transport.

Customer loyalty represents a key metric in dynamic, competitive e-commerce environments. While prior authors have explored loyalty dynamics, acumen of the effect of customers’ motivational sub-types (i.e., external material and social, introjected, identified, and intrinsic regulation) on customer loyalty in this context remains scant, particularly across countries featuring different cultural profiles, exposing an important literature-based gap. Bridging the gap, this study deploys organismic integration theory to explore the role of these customer loyalty drivers across four countries, including the USA (n = 275), China (n = 293), Spain (n = 309), and Lithuania (n = 482). To examine these effects, we adopt partial least squares structural equation modeling (PLS-SEM). The results suggest that intrinsic regulation enhances affective loyalty but not cognitive loyalty across all countries, while the effects of external, introjected, and identified regulations on loyalty dimensions differ significantly by country. We conclude by discussing pertinent implications that arise from our research.

While insight into visitor engagement proliferates, understanding the effect of engagement on visitors’ intention to revisit cultural heritage sites across physical, technology-enhanced, and virtual formats remains limited, leaving a significant gap in the literature. Addressing this gap, this research investigates how visitors’ cognitive, emotional, and behavioural engagement affect their traditional physical (RI), technology-enhanced on-site (T-RI), and purely virtual (V-RI) revisit intentions. In collaboration with the Archaeological Park of Pompeii (Italy), we surveyed international visitors and obtained 572 valid responses. Structural equation modelling (SEM) results reveal that emotional engagement consistently predicts all three revisit intentions, cognitive engagement significantly influences physical revisit intention, and behavioural engagement primarily drives virtual revisit intention. This research advances theoretical insight into the differential predictive role of engagement dimensions across distinct forms of revisit intention, while informing cultural heritage sites evaluating or expanding visitation formats.

As public transport is becoming more reliant on digitalizing services, by for example using apps to sell tickets and provide information, it is important for policy to study how this influences customer perceived service quality and satisfaction. In addition, as public transport is viewed as a more environmentally benign form of transportation it also becomes important to monitor how environmental attitudes influence traveler satisfaction. Using the theoretical underpinnings of utilitarian and experience quality we surveyed 4200 public transport travelers in Sweden focusing on digital competence and environmental attitudes. Using structural equation modelling we find that both digital competence and environmental attitudes influence perceived quality and customer satisfaction so that travelers who 1) are able to deal with digital tools like smart-phone applications in public transport, and 2) have strong environmental attitudes, perceive the quality of the public transport service to be better. We suggest that policymakers could increase public transport ridership and quality perceptions by more clearly communicating the environmental benefits of public transport and educate travelers on the digital tools they provide to help provide their services.

While misinformation has been around for centuries, the effects of online brand-related misinformation on consumers’ engagement remain tenuous. Addressing this gap, we develop the concept of online brand-related misinformation engagement, a consumer’s (e.g. cognitive/emotional) resource investment in their interactions with misinformation about brands. Recognizing the persuasive nature of misinformation, we draw on Cialdini’s Weapons of Persuasive Influence to develop a typology comprising three positively valenced online brand-related misinformation engagement sub-types (i.e. reciprocal, social proof-, and consistency-based misinformation engagement), and three negatively valenced online brand-related misinformation engagement sub-types (i.e. repudiating, thwarting, and oppositional misinformation engagement). We then develop a Weapons of Influence-informed model that outlines the effect of online brand-related misinformation authority and scarcity on consumers’ brand-related misinformation evaluation (liking), and its subsequent effect on their positive or negative online brand-related misinformation engagement, respectively. While consumers’ positive online brand-related misinformation engagement is predicted to yield online misinformation continuation or -intensification, its negative counterpart will generate online misinformation adjustment or -correction.

While consumer engagement (CE) in the context of artificially intelligent (AI-based) technologies (e.g., chatbots, smart products, voice assistants, or autonomous cars) is gaining traction, the themes characterizing this emerging, interdisciplinary corpus of work remain indeterminate, exposing an important literature-based gap. Addressing this gap, we conduct a systematic review of 89 studies using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach to synthesize the AI-based CE literature. Our review yields three major themes of AI-based CE, including (i) Increasingly accurate service provision through AI-based CE; (ii) Capacity of AI-based CE to (co)create consumer-perceived value, and (iii) AI-based CE's reduced consumer effort in their task execution. We also develop a conceptual model that proposes the AI-based CE antecedents of personal, technological, interactional, social, and situational factors, and the AI-based CE consequences of consumer-based, firm-based, and human-AI collaboration outcomes. We conclude by offering pertinent implications for theory development (e.g., by offering future research questions derived from the proposed themes of AI-based CE) and practice (e.g., by reducing consumer-perceived costs of their brand/firm interactions).