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The boom in live streaming has intensified competition among streamers for viewers' gifts, which makes it meaningful to study the factors that affect the viewers’ gifting behavior. Given the emotional attachment between streamers and viewers, the authors set out to elucidate a new driver on viewer gifting: expressions of the streamer. This research aims to explore the impact of streamer emotions on the viewer gifting behaviors, including free and paid gifting. The loyalty level of the viewers is also introduced as a moderating factor to investigate the heterogeneous effect of streamer emotions on gifting behavior.

The dataset the authors collected consists of two parts, including 1809.69 h of live streaming videos and 358,002 gift giving records. Combined with deep learning methods and regression analysis, the authors performed empirical tests on the 81,110 valid samples. Several robustness checks were also conducted to ensure the reliability of main results.

The empirical results show that streamer emotions do have effects on viewers' free and paid gifting behavior. The authors’ findings show that positive streamer expressions, such as happiness and surprise, have a positive influence on viewer gifting behavior. However, some negative expressions, like sadness, can also have a positive impact. Moreover, the authors discovered that higher viewer loyalty amplifies the positive effect of streamer emotions and reduces the negative effect.

This research contributes to the study about streamer emotions and viewers' consumption behavior, which extends the application of emotion as social information model (EASI model) in the live streaming setting. The authors carefully divide the gifting behavior into two types: free and paid, and study how these two types are affected by streamer emotions. Besides, these effects are analyzed within viewers of different loyalty levels. This study offers practical emotion management strategies for streamers and live streaming platforms to gain more economic profits.

This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.

Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.

This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.

Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.

The purpose of this paper is to perform a comparative analysis of the delay associated in running two real-time machine learning-based applications, namely, a video quality assessment (VQA) and a phishing detection application by using the edge, fog and cloud computing paradigms.

The VQA algorithm was developed using Android Studio and run on a mobile phone for the edge paradigm. For the fog paradigm, it was hosted on a Java server and for the cloud paradigm on the IBM and Firebase clouds. The phishing detection algorithm was embedded into a browser extension for the edge paradigm. For the fog paradigm, it was hosted on a Node.js server and for the cloud paradigm on Firebase.

For the VQA algorithm, the edge paradigm had the highest response time while the cloud paradigm had the lowest, as the algorithm was computationally intensive. For the phishing detection algorithm, the edge paradigm had the lowest response time, and the cloud paradigm had the highest, as the algorithm had a low computational complexity. Since the determining factor for the response time was the latency, the edge paradigm provided the smallest delay as all processing were local.

The main limitation of this work is that the experiments were performed on a small scale due to time and budget constraints.

A detailed analysis with real applications has been provided to show how the complexity of an application can determine the best computing paradigm on which it can be deployed.

This study explores how perceived interactivity effects in Livecommerce influences consumers' shopping intentions in live stream commerce. The authors specifically examine the mediating roles of immersion and hedonic/utilitarian gratification, as well as the moderating role of product involvement in identifying the boundary conditions.

A scenario-based online survey was conducted among American consumers via Prolific.co, an online crowdsourcing platform. The final sample included 187 respondents (male, 63.1 per cent; Caucasian, 61.5 per cent).

The results indicate that perceived interactivity significantly influenced consumers' shopping intentions. Consumers' sense of immersion and hedonic/utilitarian gratification were identified as serial mediators between perceived interactivity and consumers' shopping intentions. It was also found that individuals' product involvement moderated the serial effects of perceived interactivity on consumers' shopping intentions in live stream commerce.

This study provides empirical evidence that perceived interactivity plays an important role in creating an effectively immersive media experience in live stream commerce, which further contributes to higher shopping intentions via perceived utilitarian and hedonic gratifications. It was also found that varying levels of product involvement can have differing effects. Managerial implications are provided.

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.

Skippable video advertising offers users the option to skip directly to their desired video content after viewing a limited amount of advertising and is becoming a format increasingly preferred by advertisers. This study constructed a mediator model based on advertising attitude to examine the influence of users' perceived control and perceived intrusiveness on brand attitude and advertising avoidance intention in skippable video ads.

The study considered the structural equation model using a self-reporting measure method. The research model was tested using a sample of 302 respondents.

The results showed that perceived control positively affected ad and brand attitude and negatively affected advertising avoidance intention. Perceived intrusiveness negatively affected attitudes toward the advertising and the brand but positively affected advertising avoidance intention. Ad attitude and brand attitude had no significant influence on advertising avoidance intention. The results also confirmed that ad attitude mediates the path from perceived control and intrusiveness to brand attitude.

This study further enriches the theoretical development of skippable video ads and expands the perspective and scope of interactive advertising research.

This study aims to explore the determinants of viewers’ gifting and social sharing behaviours in online streaming from a dual-attachment perspective and to explain how live streaming fosters attachment through a social interaction aspect.

This study conducted an online survey with 316 valid responses to test the research model. The structural equation modelling approach was applied to assess both the measurement and structural models.

The results show that both bond-based and identity-based attachments promote gifting and social sharing behaviours. Participation and cognitive communion motivate viewers to establish bond-based attachment, while group interaction among viewer crowds encourages viewers to create identity-based attachment. In addition, group interaction can moderate the relationship between participation and bond-based attachment.

This study is one of the earliest attempts to highlight the significance of viewer crowd and viewer-viewer interaction in promoting viewers’ behaviours in live streaming context. This study also indicates that viewer-viewer interaction can moderate the impact of viewer–streamer interaction, which is among the first to investigate the interaction effects of viewer-viewer interaction and viewer–streamer interaction.

The purpose of this study is to document and analyze the success story of YouTube as a social network site in a competitive market, offering important academic and managerial implications.

Historical methods were used for investigation. This study applies the Resource-Advantage theory to identify key events in the history of YouTube from archival documents and evaluates and synthesizes the evidence to recount the channel’s evolution.

YouTube faced challenges from competitors across various industries since its launch. It has used its global user base and technological skills to develop innovative market offerings for users, contributors and marketers. YouTube built long-term relationships with stakeholders, continuously adapted to external changes and initiated internal alignments to compete in multiple industries. Over time, despite several changes in the competitive landscape, YouTube has grown into a successful media firm, competing across traditional broadcasting, gaming, live TV streaming and SNS industries. It is an exciting tale in the history of social networking.

This study significantly contributes to the marketing history of social network sites and platform-specific scholarship by applying the Resource-Advantage theory to document the evolution of YouTube.

This paper considers the brand awareness and anchor influence on consumers' live-streaming purchases, and explores the existence of “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. The authors investigate the evolutionary stabilization strategies of the bounded rational brand and anchor, and explore the conditions for the realization of the optimal strategy. Management suggestions for the development of live streaming commerce can be provided in this paper.

Two significant models are used in this paper. The Stackelberg model is used to study the “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. Using evolutionary game theory to get the evolutionary stable equilibrium strategies and analyze the binary equilibrium strategy of the bounded rational brand and anchor. In addition, relevant simulation analysis is conducted using realistic data to verify the conclusions and for further analysis, making the conclusions of the paper have realistic significance.

The study shows that “free-riding” behavior exists and the positive effect of brand promotion is greater than that of active live-streaming. The brand and the anchor take active actions as the optimal strategy. As the sensitivity coefficient of consumers to live-streaming effort and the sensitivity coefficient of consumers to brand promotion change, various evolutionary stabilization strategies will appear. When the two sensitivity coefficients are below a certain threshold, the game sides will reach the optimal strategic combination to obtain the maximum benefits. When they rise above this threshold, it is counterproductive instead. The system achieves the optimal strategic combination when the difference factor between effort cost and promotion cost must be higher than a certain value, but when it takes the smallest possible value, the game sides tend to take active actions. This study can provide management suggestions for the sustainable development of the live-streaming model.

This paper shows that under certain conditions, the brand and the anchor can evolve into the optimal strategy to maximize the profits of both parties, which has certain practical significance for the prosperous development of live streaming commerce. In future research, the authors will consider the regulatory role of the government and construct a more realistic game model to provide constructive suggestions for the sustainable prosperity of live streaming commerce. Meanwhile, there are also games between multiple brands and multiple anchors, as well as games among brands-anchors-the live streaming platforms, and the authors will conduct more in-depth research in the future.

So far, the co-impact of anchor influence and brand awareness has not been considered simultaneously in published articles. This paper provides theoretical guidance for the behavioral choices of the brand and the anchor under the live streaming commerce, which is conducive to the prosperous development of live streaming commerce.

Internet addiction (IA) has become a global health problem. As the research on IA has progressed, this study aims to explore the antecedents and consequences of IA, particularly in the Indian context. A conceptual model was developed, and hypotheses were formulated based on the conceptual model and the hypotheses were tested.

This study investigated 752 schools and collected students from the southern part of India. First, psychometric properties of the survey instrument were tested, and hierarchical regression was used to test the hypotheses.

The results revealed that time spent on the internet every day is positively related to IA, internet experience in terms of years is positively related to IA, income and gender moderates the relationship between time spent every day on the internet and internet experience and IA and IA is positively related to time spent on networking, video streaming, short video apps, educational apps, chat apps, online shopping apps, money-involved apps, etc.

The outcomes of this study are essential for the school and college students and their parents. As IA has become chronic in the present-day digital world, it is necessary to take rectification measures to avoid facing the perils of IA. The conceptual model provides a simple framework of explaining how young students spend their time on the internet to become addicted gradually. Furthermore, this study highlights the importance of controlling the younger generation's behavior, particularly regarding internet use.

This study is unique and innovative to the extent that it explores the antecedents of IA and the moderating role of gender and income in the relationship between the time spent on the internet and the IA. To the best of the authors’ knowledge, developing a conceptual model is the first of its kind to study school and college students in India.