Building Streamers’ Personal Brand Loyalty by the Brand Resonance Pyramid Model in Live Streaming Commerce

This study explores the issue of building streamers’ personal brands from the brand resonance pyramid model. Brand loyalty brings benefits and lower viewers’ wrong purchase decisions. Factors related to the context, streamers, and the community shape brand awareness and differentiate streamers’ uniqueness. The uniqueness presented by streamers’ credibility and the perceived value of live streamers’ programs deepens viewers’ emotional attachment toward the streamers. The close emotional attachment raises viewers’ loyalty and then induces viewers to purchase the recommended products. Results from analyzing 1082 valid returned data collected by an online survey show the significant path from brand awareness, differentiation, emotional attachment, and loyalty to purchase intention. The atmospherics, streamer attractiveness, streamer admiration, and vicarious experience learning promote viewers’ perceived credibility and distinct part of perceived value and then cultivate emotional attachment. The chained effects of emotional attachment, loyalty, and purchase intention are significant. Theoretical and managerial implications are also listed

Growing Business in Live Commerce: A Tripartite Perspective and Product Heterogeneity

Live streaming becomes an important channel helping organizations and individual sellers boost their sales. Our research takes an integrated perspective and examines the simultaneous influences of streamers-, consumers-, and products-related factors on sales volume in live commerce. We apply multiple linear regression to analyze a panel data set collected from Taobao live in Double 11, 2020, which contained 34,925 product sales records. We find that streamers’ social capital, consumers’ engagement, and products’ live demonstration all significantly contribute to product sales volume. In addition, product heterogeneity matters in live commerce such that the effects of streamers’ social capital and products’ live demonstration on sales volume work only for experience products (not for search products) and for the products with less popular brands (not for the products with popular brands). Our research offers comprehensive insights for both researchers and practitioners on how to grow business in live commerce

The Sales Impact of Storytelling in Live Streaming E-Commerce

Live streaming e-commerce (LSE) has emerged as a popular third-party service for improving product sales. It persuades consumers through streamers’ storytelling or narratives, which encompass descriptions and depictions of their own product experiences. However, the sales impact of a story or narrative in LSEs has been overlooked in the literature. Extending the narrative transportation theory to the LSE context, we posit that the dual landscapes of narrative—the landscapes of action and the landscape of consciousness—can improve product sales through their influence on consumers’ imagination of story plotline and empathy for streamers’ product experiences. We also propose that the efficacy of the dual landscapes is contingent on streamers’ interaction response to consumer query. By collecting LSE data from the Taobao Live platform, we manually and algorithmically measured these variables and proposed to empirically examine their effects

Dismantling the Black Box: Understanding Consumers\u27 Motivations for the Usage of Live Streaming Shopping Platform

Capturing consumers’ motivations for using the live streaming shopping platform (LSSP) can help guide the optimization of the platform and enhance shopping experience of consumers while watching live videos. Previous studies on user motivation typically explored technical and psychological antecedents of usage by considering the platform holistically. However, this black-box like treatment to the platform blurs the finer-grained details of consumer usage. This study takes a micro-level approach, disassembling the LSSP into 13 representative design features, and refines nine user motivations based on the uses and gratifications theory. Through collecting 237 questionnaires and employing regression analysis, we reveal the nuanced relationship between platform design features and consumer motivations. Our findings show that different design features are driven by distinct motivations, diverging from overall LSSP usage motivations. This research broadens the scope of LSSP studies, improves platform functionality, and offers practical insights for service providers

Factors Affecting Live Streaming Commerce Purchase Behavior

Online shopping provides various benefits to customers, but it has a fundamental limitation, which is direct interaction with the product. The growth of live streaming commerce (LSC) is a new way for people to reduce their concerns in online shopping. This study identifies the factors that can influence purchase intention in LSCs. The present study used a quantitative approach. The population of this study is all Indonesians who have shopped in LSC in which a sample of 102 respondents was obtained through online distribution of a questionnaire. The data was analyzed descriptively and through Partial Least Square Structural Equation Modelling (PLS-SEM). The results of this study show that physical characteristic similarity has a significant effect on product fit uncertainty. Value similarity has a significant effect on trust. Access to online information has a significant effect on trust but not purchase intention. Trust has a significant influence on product uncertainty and purchase intention. Likewise, product uncertainty has a significant effect on purchase intention. Price has a significant effect on hedonic motivation but not purchase intention. Hedonic motivation has no significant effect on purchase intention. E-commerce platforms and merchants who utilize LSCs can use the findings in this study to improve their business

Engaging Viewers in Ecommerce Live Streaming: Perspectives of the Broadcaster and Viewer

Background: ECommerce live streaming has enabled new forms of broadcaster-viewer interaction, where broadcasters engage viewers in real time to sell goods and services. It is therefore critical to discover strategies to maximize viewer engagement with broadcasters. Method: A mixed methods approach was applied. Five strategies emerged from our qualitative observation of three famous broadcasters: establishing a personal brand essence, maintaining personal brand consistency, creating message credibility, tapping on shared attitudes, and maximizing customer responsiveness. Based on a signaling theory perspective, we then hypothesized about the five strategies and constructed a survey to examine the effectiveness of these strategies. A total of 505 valid responses were received, and CB-SEM with AMOS was utilized to test the five hypotheses, with three hypotheses supported. Results: Our findings demonstrate that message credibility, shared attitudes, and customer responsiveness play critical roles in enhancing viewers’ engagement behaviors. Conclusion: Our mixed methods approach allows empirical exploration of effective engagement strategies and broadcaster-viewer interaction during eCommerce live streaming. This study thus contributes nascent knowledge to the live streaming literature, helping future research to develop possible theoretical perspectives. Our findings also provide actionable insights for broadcasters to enhance viewer engagement and boost sales

Exploring user behaviours on mobile technologies combined with payment functions during the COVID-19 pandemic

A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information TechnologiesWith the extensive spread of smart mobile devices, mobile technologies and services have revolutionised and pervaded significantly in most aspects of human life, such as social communication, commerce, entertainment, etc. Various industries have integrated services and products with mobile financial transaction technologies, facilitating the payment services combined with various mobile applications. The wide adoption of mobile transactions has increased the efficiency of transaction processes, met the expectations of customers and the requirements of enterprises, and supported the social-economic development in different scenarios, especially under the pandemic situation. Understanding mobile device users’ perceptions and behaviours on mobile technologies combining payment functions under the COVID-19 pandemic situation has reinforced the need to embark on a deeper investigation of customer behaviours during the pandemic. For these reasons, this study contributes to the advancement of knowledge and implementation methods for a better understanding of the determinants of customers’ behavioural intentions of using mobile technologies combined with payment functions in a total of seven separate studies. The investigation begins with a systematic literature review on mobile payment studies presented in chapter two. This research is augmented by investigating users’ continuance usage intention of mobile payments under the COVID-19 pandemic in chapter three. The fourth chapter analyses the determinants of continuance usage intention of food delivery apps during the pandemic. Chapters five and six present two theoretical development studies about the Unified Theory of Acceptance and Use of Technology (UTAUT) and UTAUT2, respectively. The seventh chapter investigates customers’ psychological shopping processes via live-streaming shopping apps during the pandemic lockdown period. In epistemological terms, this study involved conjoint positivist and interpretivist research in behavioural information systems research. A qualitative research method was applied in chapters two, five and six, and a quantitative research method was implemented in the third, fourth and seventh chapters. The main theoretical foundations applied and validated in three empirical studies were UTAUT and UTAUT2. Specifically, chapter three integrates UTAUT with Mental Accounting Theory, the fourth chapter combines UTAUT with the Expectancy Confirmation Model, and chapter seven integrates UTAUT2 with the Stimulus-Organism-Response framework and Flow theory. This study found that performance expectancy, social influence, and trust significantly affect users’ behavioural intentions in all three empirical studies. Customers’ mental cognitions, such as perceived benefits, satisfaction, flow and perceived value, positively formulate users’ behavioural intention in the three studies, respectively. Hedonic motivation and flow significantly influence users' behavioural intention when mobile technologies contain payment and entertainment features. Moreover, this study contributes several theoretical and practical implications. This study facilitates the advancement of knowledge of mobile technologies adoption through three verified theoretical frameworks and two proposed developed theoretical models and appropriate measurement methods. Meanwhile, this study supports relevant stakeholders in mobile technologies, enterprises, policymakers, service providers, and marketing departments with valuable findings and discussions for comprehensively understanding the determinants of customers’ behaviours on mobile technologies combined payment function

Influence Of Short Video Live Broadcast On Network User Behavior And Sales—From Meta-Analysis, Experimental Analysis To Empirical Analysis

Background: There are more than 1 billion users of short video media in China, and enterprises have long recognized that the influence of short video media has strong marketing achievements, such as short video community and information sharing platform participating in sales. Many enterprises have established active short video media so that they can directly interact with their customers. Among them, the content of webcasting can also stimulate and influence users' participation (like, comment or share) and users' stickiness (collection and attention). Research purposes and methods: In order to explore the underlying logical relationship between "media-content-goods-users-sales", firstly, it is necessary to find out the influence mechanism of short video live broadcast on network users' participation and sales. Therefore, in the first experiment, we conducted a meta-analysis on a large number of researches on webcasting media and short video media, and analyzed their differences along the content differences, background (industry, presentation, life cycle, demand and platform) and characteristics of webcasting media. Secondly, it is necessary for us to find out the differences in the influence of the level of webcasting and the behavior of network users (participation behavior and sticky behavior) on the sales level. Therefore, in Experiment 2, based on the data of 802 live events in Tik Tok, the internal relationship between the degree of webcasting and the degree of commodity sales was analyzed. Thirdly, it is necessary for us to understand the mechanism of the influence of webcasting marketing on consumer decision-making. Therefore, in Experiment 3, the psychological mechanism of webcasting affecting purchase intention was verified by structural equation model, and the adoption intention of webcasting users was determined and verified by three factors-webcasting, participation behavior and sticky behavior. Research results: This paper makes a comprehensive and in-depth analysis and verification through three experiments. The result of Experiment 1 supports some existing viewpoints, for example, webcasting media can promote the sales of new products more effectively, but it highlights some new insights. The webcasting media mainly promotes the sales of goods and hardly affects the stickiness of users. The average citation of webcasting media stickiness is 0.137, and the sales citation is 0.353. In addition, the research results also put forward a better way to adjust the content of webcasting media to meet the communication target. Experiment 2 found that it has a higher degree of webcasting (β1=.715, P < .01; β2=-.090, p<0.01) more effectively produces the degree of commodity sales, and further verifies the potential moderating effects of two kinds of user behaviors: user participation behavior and user stickiness behavior. Experiment 3 verified that webcasting (b = 0.247, t=3.317, p< 0.05) directly and significantly affected the degree of online sales, while the behavior of online users (participation of live users and live fans) adjusted the degree of online sales to a certain extent, which indirectly affected the degree of online goods sales. Research conclusion: With the rapid development of short video media today, enterprises can realize the online sales of goods more efficiently through a powerful short video live media based on media content and media users, and further realize the balanced operation between network users and fan users in a healthy and orderly manner. Keywords: Webcast, Meta-analysis, User behavior, Social media sales, Field experiment DOI: 10.7176/NMMC/104-13 Publication date: August 31st 202