Explore the vast range of titles available.

PurposeThe purpose of this paper is to understand how augmented reality (AR) try-on experiences facilitate consumers’ shopping decision. Focusing on the immersion and psychological ownership, the study investigated how the properties of AR experiences (environmental embedding (EE) and simulated physical control (SPC)) affect decision comfort.Design/methodology/approachThis research theoretically and empirically analyzes how each property of AR experiences affects consequential psychological states and then further increases decision comfort by employing an existing AR try-on mobile application. A total of 99 valid responses were used for the partial least square structural equation modeling analysis. One’s prior AR try-on experience was predicted as a moderator and analyzed using SPSS-based PROCESS macro.FindingsThe results demonstrated that EE and SPC evoke immersion and the feeling of ownership of a virtual product, which increased decision comfort. The moderating effect of one’s prior AR try-on experience showed that the impact of EE and SPC on immersion was attenuated for those with prior experience. Further, immersion mediated the effect of EE but SPC on the feeling of ownership, which corroborated the direct effect of SPC on the feeling of ownership.Practical implicationsFirms must consider technological and user-experience features that can induce users to perceive high levels of AR characteristics such as EE and SPC. Practitioners should develop realistic content that can correctly place virtual products on users to enhance EE. Including more interactive features is encouraged to provide users with a feeling of control toward the virtual product that directly leads to ownership and positively affects decision making. Further, practitioners need to be cautious about consumers getting used to the new technology; retailers and marketers need to focus on creating new and innovative content to continually engage customers.Originality/valueThis study adopted EE and SPC to determine how each property of AR experience forms the consequential psychological states, particularly depending on one’s prior experience. Methodologically, the study provided external validity in conducting an experiment by adopting an existing AR mobile application available in the market and employing an objective measure of respondents (e.g. prior AR try-on experience).

Purpose The purpose of this paper is to examine the determinants of users’ simulated experience in a virtual store and to show the subsequent impact of that experience on engagement. The outcome of that engagement is examined in relation to enjoyment, satisfaction and purchase intentions. Design/methodology/approach The method comprised an experiment comparing users’ perceptions of a standard 2D online clothing store with an enhanced, immersive one that aimed to provide shopping value approaching that of a traditional store by using a 3D experience where participants wore special glasses and a data glove. Findings Results demonstrate the major role of telepresence components in simulated experience and the critical role of that experience, along with hedonic and utilitarian values, in engagement. Purchase intention is influenced by satisfaction, which is in turn influenced by enjoyment and engagement. Engagement in turn is influenced by utilitarian and hedonic value and the experience of product simulation or telepresence, which is composed of control, colour and graphics vividness, and 3D authenticity. In the immersive, 3D environment, experience is more associated with engagement and enjoyment, leading to greater purchase intention. The immersive, 3D environment, thus, has the potential to rival traditional shopping in terms of experience, resulting in higher sales for retailers and satisfaction for consumers. Originality/value This work has evaluated a robust model of purchase intention and demonstrated it to hold not only in a 3D environment on a conventional computer platform, but also in an immersive one, where participants wear special glasses and a data glove.

Purpose New research emphasizes the importance of social communications in e-commerce purchase decision-making processes but there are many technical and social challenges such as multi-faceted trust concerns. How consumers view and value referent’s online testimonials, ratings, rants and raves, and product usage experiences remain an important factor that needs to be better understood. Social commerce as a relatively new stream in e-commerce yet is growing fast and gaining the attention of scholars and practitioners, especially due to recent revenue developments. Consistent with e-commerce websites that do not enable consumer feedback, trust is a challenging matter for consumers to consider when they visit social commerce websites. Researching trust models and influences is increasingly important especially with the proliferation of online word of mouth (WOM) strongly effecting many consumers at many different phases of social commerce purchase decision making and transacting. The paper aims to discuss this issue. Design/methodology/approach This study examines the effects and importance of institution-based trust and WOM within a model of consumer behaviour on social commerce websites. This research examines how trust and consumer feedback may affect consumers’ purchase intentions. This study collects data from the little-understood market of urban Iran and develops a research model to examine consumers’ purchase intentions on social commerce websites. A robust data set from urban Iran (n=512) is analyzed using partial least squares regression to analyze the proposed model. Findings The results of the analysis show that institution-based trust influences social media communication, leading to elevated purchase intention on social commerce websites. This research adds to the prior literature that espouses on the importance of consumers developing strong beliefs of vendor trust in social commerce platforms. Originality/value Explaining how consumer purchase decision making is effected by using institution-based trust and electronic WOM in a little understood Middle Eastern context an important contribution of this research. Suggestions on practical and theoretical developments of this research in the sharing commerce research stream conclude this paper.

While e-government (referring here to the first generation of e-government) was just the simple manner of delivering public services via electronic means, e-gov 2.0 refers to the use of social media and Web 2.0 technologies in government operations and public service delivery. However, the use of the term ‘e-government 2.0’ is becoming less common as the focus shifts towards broader digital transformation initiatives that may include AI technologies, among others, such as blockchain, virtual reality, and augmented reality. In this study, we present the relatively new concept of e-government 3.0, which is built upon the principles of e-government 2.0 but refers to the use of emerging technologies (e.g., artificial intelligence) to transform the delivery of public services and improve governance. The study objective is to explore the potential of e-government 3.0 to enhance citizen participation, improve public service delivery, and increase responsiveness and compliance of administrative systems in relation to citizens by integrating emerging technologies into government operations using as a background the evolution of e-government over time. The paper analyzes the challenges faced by municipalities in responding to citizen petitions, which are a core application of local democracies. The author starts by presenting an example of an e-petition system (as in use today) and analyses anonymized data of a text corpus of petitions directed to one of the Romania municipalities. He will propose an AI model able to deal faster and more accurately with the increased number of inputs, trying to promote it to municipalities who, for some reason, are still reluctant to implement AI in their operations. The conclusions will suggest that it may be more effective to focus on improving new algorithms rather than solely on ‘old’ technologies.

Whereas the pivotal role of trust in the adoption of e-government was highlighted in prior research, attention was rarely paid thus far to investigate the role of post-use trust and its impact on citizens’ continuous-use intention of e-government. This study develops a comprehensive model, which consists of antecedents of post-use trust, perceived usefulness, satisfaction, and citizens’ continuous-use intention of e-government, to explain how interactional, government, and environmental factors influence citizens’ post-use trust as well as how post-use trust influences citizens’ continuous-use intention. Using data collected from a survey of 1867 citizen users living in one direct-controlled municipality and four high-population cities in China, this study tests the proposed concept model using structural equation modeling. The results show that trust in government, trust in the internet, service quality, and information quality have positive effects on citizens’ post-use trust. Factors that do not determine a user’s post-use trust are the perception of privacy and security, as well as system quality. Another finding is that citizens’ post-use trust does not directly influence their continuous intention to use e-government. Post-use trust will impact continuous-use intention through whether or not citizens find using e-government useful and satisfying.

PurposeThe study aims to look at deep eWOM providing behaviour in m-commerce and attempts to explore its antecedents. Personalisation is proposed as an indirect antecedent of deep eWOM providing behaviour mediated by hedonic and utilitarian value perceptions and personal identification.Design/methodology/approachBased on social-exchange theory, the conceptual model links the study antecedents to deep eWOM providing behaviour. The conceptual model was validated through a multi-country study. A large sample of m-commerce users in the UK (n = 505), India (n = 422) and Vietnam (n = 618) were contacted to collect the data. Data were analysed through structural equations modelling procedure with invariance analysis conducted to ensure that the results from the three samples could be compared. The authors also conducted post-hoc analysis to explore the mediation paths between variables.FindingsThe study finds support to the conceptual model across the samples from the three countries. Personalisation is found to increase value perceptions – both utilitarian and hedonic – and personal identification which leads to “deep” eWOM providing behaviour across all the three countries. The serial mediation also provides comparable results across the three countries.Originality/valueThe study contributes to the understanding of deep eWOM providing behaviour – a construct with high practical relevance which has however not been explored sufficiently in current literature. The study also contributes to the literature that analyses the consequences of personalisation in m-commerce.

Many governments and firms do believe that technology can supplant governance and human responsibility. This belief poses the question of who will really benefit from smart cities. This article explores this fundamental question through the study of digital media platforms. The ultimate goal is to understand the link between e-governance and smart city initiatives in our cases of study by testing whether these projects are explicitly for citizens. This article shows how e-platforms represent the use of information and communication technologies with the aim of encouraging citizen participation in decision-making processes, improving information and service delivery, reinforcing transparency, accountability, as well as credibility. Thirteen digital media platforms are surveyed, mostly in cities across countries. These e-platforms raise implementation challenges for both firms and policy makers, and new research opportunities for scientist to build up new research and to experiment with the aim to make the benefits for citizens wider and the participatory dimension stronger.

Porcine epidemic diarrhea virus (PEDV), an enteropathogenic coronavirus causing high mortality in neonatal piglets, continues to threaten global swine industries. Frequent mutations in the spike (S) protein of PEDV, particularly in emerging variants, have substantially compromised commercial vaccine efficacy. Despite the emergence of G2c variants dominating recent epidemics, comprehensive studies integrating viral isolation, phylogenetics, structural modeling, cross‐neutralizing antibody response, and pathogenicity assessment remain insufficient. In this study, we successfully isolated a G2c strain (AHCZ02) and obtained 69 S gene sequences from nine provinces during 2021–2024. Phylogenetic analysis identified G2c variants as predominant (69.57%, 48/69) in current outbreaks. Structural comparisons revealed four G2c‐specific substitutions (N139D, I287M, F345L, and L998M) inducing conformational changes in critical S domains compared to G2a/G2b strains, potentially disrupting immune recognition. The results of serum neutralizing antibody (nAb) test using the AHCZ02 strain showed that G2c‐based feedback exposure strategies elicited 3.9‐fold higher geometric mean titers (GMTs) than S‐INDEL–based approaches. Furthermore, feedback exposure strategies of G2c (GMT = 480–1893) showed 12‐ to 189.3‐fold higher neutralizing activity versus conventional vaccines (GMT = 10–40). Pathogenicity assessment in neonatal piglets revealed 100% mortality within 66 h post‐AHCZ02 inoculation, accompanied by hallmark clinical manifestations including profuse watery diarrhea, rapid weight loss, and severe jejunal villus atrophy. Collectively, these findings provide evidence that G2c variants have developed S protein modifications associated with diminished vaccine efficacy, underscoring the need for next‐generation vaccines incorporating G2c‐specific antigenic determinants, and strengthened virological surveillance systems to effectively monitor and respond to PEDV evolutionary dynamics.

PurposeSince its inception in 2009, the growth of real-time bidding (RTB) advertising has been dramatic. Yet, there is a dearth of research in the information system (IS) literature despite the potential for negative e-commerce outcomes. The purpose of this paper is to identify salient antecedents of users’ attitude toward RTB advertisements.Design/methodology/approachA research model was constructed and tested with data from 437 respondents. SmartPLS 3.0, a partial least square (PLS) structural equation modeling (SEM) tool, was used to evaluate the research model and test the hypotheses.FindingsThe findings indicate that user attitude is determined by opposing influences from the cognitive and affective attributes of an RTB advertisement. A surprise is found to elicit greater perception of advertisement personalization, timeliness and relevance, as well as privacy and intrusiveness concerns. While RTB advertisement relevance appears to lessen the effect of advertisement intrusiveness, privacy concern is exacerbated when the advertisement is more personalized. The authors discuss the implications of this study for click-through intentions and e-commerce.Originality/valueAt this point in the evolution of RTB advertising, the findings indicate that the surprise generated by the appearance of an RTB advertisement is not currently a “bad” surprise. In addition, the formation of positive user attitude toward RTB is complex because cognitive factors interact with users' concerns to strengthen or weaken the negative effects. The authors also demonstrate that attitude and stimulus–organism–response (S–O–R) theories are useful theoretical bases for the development of causal models to predict RTB attitude and click-through intentions.