Search results

Amazon Explore is a new online experience product from Amazon, which offers live stream sightseeing of destinations around the world. This paper aims to provide a first insight into how exactly Amazon Explore enters the virtual experience (VE) industry, and discuss the possible implications of its business model for the future of virtual and offline travel experiences.

Qualitative and quantitative methods of content analysis methods were employed in this study. The sample of this research consisted of 175 Amazon Explore products. Firstly, the authors analysed the content of each product, and then quantitative method were used to present the data. With this analysis, the authors presented how Amazon Explore is testing the foundations for new business models, and discuss the possible implications for the future of tourism. One year later, those same Amazon Explore products were reviewed again to check development progress. The following were the main questions regarding VE: How interactive are Amazon Explore products? How does Amazon Explore aim to ensure the monetisation of these products in an economically sustainable way in order to go beyond the “freemium” business model, often associated with VE as just another destination marketing tool?

This article presents the discussions of VE and virtual reality (VR). The authors determined the level of interactivity of the diverse VE offered themes with a model of four levels of interactivity. The results show that the analysed products achieve mostly only low levels of interaction. Regarding monetisation, Amazon Explore shows three possible future directions in the development of VE: as a marketing tool, as an extension of the offline experience and as potentially someday replacing real travel as part of the future monetisation scenario.

The article offers the first insights into Amazon's extension into the realm of VE in two time periods in 2020 and 2021, and, based on these preliminary results, discusses four possible scenarios for the future development of VE monetisation.

This study delves into the psychological processes underlying sport fans' post-purchase innovativeness behaviour. This exploratory research aims to establish a theoretical framework that elucidates the formation of sport fans' word-of-mouth (WOM) behaviours, particularly emphasising the structural relationship between motivated consumer innovativeness and satisfaction in using AR live-streaming services.

Utilising an online survey and convenience sampling, the study garnered a total of 243 usable responses from three online baseball fan communities in South Korea. Confirmatory factor analysis was employed to assess the psychometric properties of the constructs. Subsequently, a structural equation model was used to probe the influence of motivated consumer innovativeness on WOM, with a particular focus on the mediating role of satisfaction.

Three dimensions of motivated sport fans innovativeness – functional, hedonic and cognitive – showed a positive association with WOM, partly mediated by satisfaction. In contrast, socially motivated sport fans innovativeness did not directly lead to WOM but influenced it solely through satisfaction. The full mediating role of satisfaction in the relationship between socially motivated fans innovativeness and WOM was found.

This research stands out as one of the scant studies exploring motivated sport fans innovativeness in the context of AR live sport streaming. The findings not only corroborate but also augment the extant literature by empirically confirming that three dimensions of motivated fans innovativeness, coupled with satisfaction, are pivotal antecedents to WOM intention.

The COVID-19 pandemic has prompted the fast growth of online music festivals. This paper explores how festivalgoers' experience affects their satisfaction and drives their loyalty to re-attend online music festivals in China.

Based on an understanding of the music festival experience and the characteristics of live-streamed performances, this paper investigates five factors that affect festivalgoers' satisfaction and loyalty, namely the music experience, ambience experience, separation experience, social experience and novelty experience. The relationships between festivalgoers' experience, satisfaction and loyalty are also explored using structural equation modelling techniques.

The empirical results suggest that four of the above-mentioned five factors of the online music festival experience directly affect festivalgoers' satisfaction and loyalty. The online mode is a rapid adaptation of and preferred alternative to offline music festivals, whilst the creation of the experience, along with satisfaction with and loyalty to the online music festival, are determined by different factors compared to offline modes. Overall festival satisfaction positively enhances the relationship between festivalgoers' experience and loyalty to online music festivals.

This study offers a range of practical and managerial implications for organisers of online music festival, similar activities such as live-streaming concerts and stage performances and hybrid events.

This study explores a phenomenon that has evolved quickly since COVID-19 and will, potentially, have an ongoing and enduring impact on the music festival sector. It differentiates the understanding of festivalgoers' experience in online and offline modes, which is a new addition to the literature. It also enriches the theoretical understanding of the experience of, satisfaction with and loyalty to online music festivals.

The outbreak of the Coronavirus (COVID-19) pandemic and its preventative social distancing measures have led to a dramatic increase in subscriptions to paid streaming services. Online users are increasingly accessing live broadcasts, as well as recorded video content and digital music services through internet and mobile devices. In this context, this study aims to explore the individuals’ uses and gratifications from online streaming technologies during COVID-19.

This research has adapted key measures from the “technology acceptance model” (TAM) and from the “uses and gratifications theory” (UGT) to better understand the individuals’ intentions to use online streaming technologies. A structural equations partial least squares’ confirmatory composite approach was used to analyze the gathered data.

The individuals’ perceived usefulness and ease of use of online streaming services were significant antecedents of their intentions to use the mentioned technologies. Moreover, this study suggests that the research participants sought emotional gratifications from online streaming technologies, as they allowed them to distract themselves into a better mood and to relax in their leisure time. Evidently, they were using them to satisfy their needs for information and entertainment.

This study contributes to the academic literature by generating new knowledge about the individuals’ perceptions, motivations and intentions to use online streaming technologies to watch recorded movies, series and live broadcasts.

The findings imply that there is scope for the providers of online streaming services to improve their customer-centric marketing by refining the quality and content of their recorded programs and through regular interactions with subscribers and personalized recommender systems.

This study integrates the TAM and UGT frameworks to better understand the effects of the users’ perceptions, ritualized and instrumental motivations on their intentions to continue watching movies, series and broadcasts through online streaming technologies, during COVID-19.

El distanciamiento social durante la pandemia del coronavirus (COVID-19) ha llevado a un aumento dramático en las suscripciones a los servicios de transmisión de pago. Los usuarios en línea acceden cada vez más a transmisiones en vivo, así como a contenido de video grabado y servicios de música digital. En este contexto, este estudio explora los usos y las gratificaciones buscadas por las personas con las tecnologías de transmisión en línea durante la COVID-19.

En la operacionalización de las variables se utilizaron las medidas del “Modelo de Aceptación de Tecnología” (TAM) y la “Teoría de Usos y Gratificaciones” (UGT). Además, se utilizó SEM-PLS 3 para analizar los datos recopilados de las encuestas.

La utilidad percibida y la facilidad de uso de los servicios de transmisión en línea son antecedentes significativos de la intención de utilizarlos. Además, las personas buscan gratificaciones emocionales de tales tecnologías, ya que les permiten distraerse, estar de mejor humor y relajarse en su tiempo libre. Además, las utilizan para obtener información y entretenimiento.

Este estudio contribuye a la literatura académica generando nuevos conocimientos sobre las percepciones, motivaciones e intenciones de los individuos de utilizar tecnologías de transmisión en línea para ver películas grabadas, series y transmisiones en vivo.

Los hallazgos implican que hay margen para que los proveedores de servicios de transmisión en línea mejoren su marketing centrado en el cliente reforzando la calidad y el contenido de sus programas grabados y la publicidad intermitente.

Este estudio integra las teorías TAM y UGT para comprender mejor el creciente uso de las tecnologías de transmisión para ver películas grabadas, series y transmisiones en vivo.

新型冠状病毒(COVID-19)大流行的爆发及其预防性的社会隔离措施，导致付费流媒体服务订阅量大幅增加。越来越多的在线用户通过互联网和移动设备访问直播、录制视频内容和数字音乐服务。在此背景下，本研究旨在探讨COVID-19疫情期间个人对在线流媒体技术的使用和满意度。

为了更好地理解个体使用在线流媒体技术的意图，本研究采用了“技术接受模型”(TAM)和“使用与满足理论”(UGT)的主要测量方法。另外，作者采用了结构方程偏最小二乘验证组合方法对采集的数据进行分析。

个人对在线流媒体服务的感知有用性和易用性是他们使用上述技术的意图的重要先行因素。此外，这项研究表明，研究中的参与者从在线流媒体技术中寻求情感满足，让自己得到一个好心情，并在闲暇时间放松。显然，他们是在用手机来满足他们对信息和娱乐的需求。

本研究对个人使用在线流媒体技术观看电影、电视剧和直播的认知、动机和意图产生了新的认识，对学术文献的贡献。

研究结果表明，在线流媒体服务提供商可以通过改进其录制节目的质量和内容、定期与订阅者互动以及个性化推荐系统来改善其以客户为中心的营销。

本研究整合了TAM和UGT框架，以更好地了解COVID-19期间用户的认知、仪式化和工具动机对他们通过在线流媒体技术继续观看电影、电视剧和广播的意图的影响。

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.