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Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect individuals’ gifting intention is still at an infant stage. Therefore, this study aims to investigate the factors that affect individuals’ gifting intention during live streaming.

The authors build a model to uncover the factors that affect individuals’ gifting intention from a streamer–content perspective, and the hypotheses are largely validated by online survey data through structural equation model analysis.

Individuals’ perceived attractiveness of the streamers is significantly and positively associated with gifting intention for leisure-related live streaming, whereas individuals’ perceived similarity with the streamers is significantly and positively associated with gifting intention for leisure-related and non-leisure-related live streaming. For live content-related factors, the individuals’ perceived utilitarian value of content is significantly and positively associated with gifting intention for non-leisure-related live streaming, whereas the individuals’ perceived hedonic value is significantly positively associated with gifting intention for leisure-related live streaming. Perceived symbolic value is insignificantly associated with gifting intention for neither type of live streaming.

The research is an original work and significantly contributes to live streaming and PWYW literature, and the findings derived from this study can guide live streaming platforms to regulate individuals’ gifting intentions/behaviors better.

This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster popularity moderates social interaction-oriented content's effect on the two different behaviors in live-streaming commerce.

A research model was proposed and empirically tested using a panel data set collected from 537 live streams via Douyin (the Chinese version of TikTok), one of the most popular live broadcast platforms in China. A fixed-effects negative binomial regression model was used to examine the proposed research model.

This study's results show that social interaction-oriented content in broadcasters' live speech has an inverted U-shaped relationship with broadcast viewers' purchasing behavior and shares a positive linear relationship with viewers' gift-giving behavior. Furthermore, broadcaster popularity significantly moderates the effect of social interaction-oriented content on viewers' purchasing and gift-giving behaviors.

This research enriches the literature on live-streaming commerce by investigating how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' product-purchasing and gift-giving behaviors from the perspective of broadcast viewers' attention. Moreover, this study provides some practical guidelines for developing live speech content in the live-streaming commerce context.

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。

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

The authors enrich and extend the existing institutional anomie theory (IAT) in the hope of sharpening the understanding of the joint effects of selected cultural values and social institutional changes on women's pre-entrant entrepreneurial attempts. The authors theorize that women are culturally discouraged to pursue pre-entrant entrepreneurial attempts or wealth accumulation in a specific culture. This discouragement creates an anomic strain that motivates women to deviate from cultural prescriptions by engaging in pre-entrant entrepreneurial attempts at a faster speed. Building on this premise, the authors hypothesize that changes in social institutions facilitate the means of achievement for women due to the potential opportunities inherent in such institutional changes.

Using a randomly selected sample of 1,431 registered active individual users with a minimum of 10,000 followers on a leading entertainment live-streaming platform in the People's Republic of China, the authors examined a unique mix of cultural and institutional changes and their effects on the speed of women's engagement in live-streaming platform activity.

The authors find support for the impact of the interaction between changes in social institution conditions and cultural values. Unexpectedly, the authors also find a negative impact of cultural values on women's speed of engaging in pre-entrant entrepreneurial attempts.

The authors add institutional change to the IAT framework and provide a novel account for the variation in the pre-entrant entrepreneurial attempts by women on the platform.

This paper aims to test the effects of brand experience and brand love on brand loyalty and willingness to pay a premium price in streaming television services.

Structural equation modelling was used to assess the proposed theoretical model drawing on data from 220 subscribers of a well-known TV streaming brand services (Netflix).

The results revealed that brand experience and brand love have a significant direct impact on brand loyalty and willingness to pay a premium price in streaming TV services. Also, the impact brand experience has on brand loyalty and on willingness to pay a premium price is partially mediated by brand love.

In the streaming television industry, brand managers can create more meaningful experiences that create strong and emotional bonds with users, thereby increasing loyalty levels and intention to pay a premium price. Also, brand managers should consider focusing their efforts to young consumers, as they have a stronger attachment to technology than older generational groups.

This paper enriches the existing literature on brand experience in the entertainment television industry and provides evidence of the role of experience and brand love on brand loyalty and willingness to pay a premium price in services.

Este estudio prueba el efecto que tiene la experiencia de marca y el amor a la marca en la lealtad a la marca y la disposición a pagar un precio más elevado en las plataformas de servicios de streaming.

Un modelo de ecuaciones estructurales (SEM) ha sido utilizado para contrastar el modelo teórico propuesto basándose en datos de 220 suscriptores de una conocida marca de servicios de streaming (Netflix).

Los resultados revelan que la experiencia de marca y el amor a la marca tienen un impacto significativo y directo en la lealtad a la marca y la disposición a pagar un precio más elevado en el contexto de televisión por streaming. También, el impacto que tiene la experiencia de marca en la lealtad a la marca y en la disposición para pagar un precio más elevado es parcialmente mediado por el amor a la marca.

En el contexto de la industria de entretenimiento (televisión por streaming), los gerentes de marca pueden diseñar significativas experiencias que sean capaces de crear fuertes lazos emocionales con sus usuarios, incrementando sus niveles de lealtad y disposición a pagar más. Además, los gerentes de marca deben considerar enfocarse al segmento de consumidores jóvenes, pues ellos tienen más apego a la tecnología que las personas mayores.

Este estudio enriquece la literatura existente sobre experiencia de marca en el sector del entretenimiento televisivo aportando evidencia del rol de la experiencia y del amor hacia la marca en la lealtad y la disposición a pagar un precio elevado.

本研究检验了品牌体验和品牌喜爱对流媒体电视服务的品牌忠诚度和高价支付意愿的影响。

结构方程模型（SEM）被用来评估本文所提出的理论模型, 该模型的数据来自于一个知名电视流媒体品牌服务方（Netflix）的220名订阅用户。

本文的结果显示, 品牌体验和品牌喜爱对流媒体电视服务的品牌忠诚度和高价支付意愿有显著的直接影响。同时, 部分品牌体验对品牌忠诚度和高价支付意愿的影响会被品牌喜爱所调节。

在流媒体电视行业中, 品牌经理可以创造更多有意义的体验, 与用户建立强大的情感联系, 从而提高忠诚度和高价支付意愿。同时, 品牌经理应该考虑将他们的工作重点放在年轻消费者身上, 因为他们比老一辈群体对科技有更强的依恋。

本文丰富了关于娱乐电视行业品牌体验的现有文献, 并提供证据证明了体验和品牌喜爱对品牌忠诚度和高价支付意愿的作用。

The purpose of this paper is to investigate the legal issues of simultaneous Internet transmission of broadcasting programs of the Open University of Japan (OUJ) and to take legal measures to promote the mutual utilization of open university courses in Japan, the UK, China and Korea.

The author examines the legal relationship regarding Internet simultaneous distribution of broadcast courses at the OUJ. The author then considers the legal relationship between the UK, China and South Korea regarding the simultaneous transmission of broadcast courses over the internet. Based on that consideration, this paper clarifies legal measures to promote its utilization.

Internet transmission of broadcasting courses will be webcasting. Arguably, it can be assumed to be streaming and on-demand, albeit controversial. Webcasting will be publicly transmitted, but there is only an on-demand provision for Internet transmission. As webcasting is streaming and on-demand, it involves reproduction of broadcasting courses. Therefore, webcasting needs to provide streaming provision for public transmission rights and associate them with reproduction right.

The originality of this paper lies in clarifying the legal response of the object, subject and rights of webcasting from the perspective of the OUJ, in order to dispel legal problems that may arise in the future against this unexplored phenomenon. Additionally, this paper is valuable in that it presents legal consistency from the point of view of the comparative laws of Japan, the UK, China and South Korea, based on an examination of the legal response in Japan.

This study aims to present the Chinese entrepreneurial environment and explore Chinese tertiary students’ online-startup motivation on live streaming platforms. Based on the COM-B behaviour changing theory, this paper discovers various influencing factors from environmental opportunity and personal capability aspects. It analyses their effects under the cooperative system established among official departments, industries and universities. Meanwhile, considering social and cultural control, it also refers to the uncertainty-avoidance dimension from the Hofstede cultural theory and re-evaluates its influence on Chinese tertiary students’ online-startup motivation.

The authors analyse 474 responses from online questionnaires through partial least squares path modelling and variance-based structural equation modelling. The paper claims that environmental opportunity and personal capability factors positively affect students’ online-startup motivation, but uncertainty-avoidance thinking plays a negative role. The study also measures the importance-performance map analysis to explore additional findings and discuss managerial implications.

Both platform support and official department support positively impact Chinese tertiary students’ online-startup motivation and entrepreneurial skills learned from universities are beneficial for them to build online-startup confidence. Meanwhile, influenced by the cooperative system implemented among official departments, industries and universities, official department support positively affects platform support and entrepreneurial skills. Conversely, influenced by Chinese traditional Confucian culture, uncertainty-avoidance thinking negatively affects tertiary students’ online-startup motivation.

This paper demonstrates the analysis of Chinese tertiary students’ online-startup motivation drawing on the COM-B behaviour changing and Hofstede cultural theories. Specifically, this study divides influencing factors into three specific aspects as follows: environmental opportunity, personal capability and social and cultural control. Unlike existing research applying traditional research models, the combination of the COM-B behaviour changing theory and the Hofstede cultural theory could be conducive to making the research model reflect influencing factors and present their different relationships.

The study aims to examine the relationships among personality traits (i.e. the Big Five personality traits and locus of control), self-perceived facial attractiveness, motivations (i.e. intrinsic and extrinsic motivation) and intention toward live stream broadcasting. It also investigates the moderating role of perceived behavioral control in the relationship between motivations and intention.

Data collected from a sample of 637 participants are used to examine the research model and test the hypotheses with the employment of partial least squares structural equation modeling.

The study shows that motivations and perceived behavioral control are significant predictors of intention. Perceived behavioral control has a significant moderating effect between motivations and intention. Intrinsic motivation is positively influenced by self-perceived facial attractiveness, agreeableness, extraversion and internal locus of control, while extrinsic motivation is positively predicted by self-perceived facial attractiveness, conscientiousness and extraversion.

This study enhances our understanding of the determinants of intention toward live stream broadcasting by exploring its relationships with motivations, self-perceived facial attractiveness and personality, as well as the moderating effects of perceived behavioral control.