Search Results (23)

The rapid growth of live e-commerce, a sector valued at over USD 100 billion worldwide, demonstrates its transformative impact on the retail industry, especially in markets like China, where platforms such as Taobao Live and TikTok Shop have markedly altered consumer interaction. This transition is further expedited by Netflix-like entertainment marketing methods, which have demonstrated the capacity to enhance consumer retention by as much as 40%. As organizations adjust to this evolving landscape, it is essential to optimize supply chain strategies to align with these dynamic, consumer-centric environments. This paper examines the complexity of decision-making in live e-commerce supply chains, specifically regarding Netflix-inspired marketing strategies. The primary aim of this study is to design a game-theoretic framework that examines the interactions between producers and online celebrity retailers (OCRs) across different power dynamics. As live commerce integrates digital retail with immersive experiences, businesses must optimize pricing, quality, and marketing strategies in real-time. We present engagement-driven marketing as a strategic variable and incorporate consumer regret and switching costs into the demand function. To illustrate practical trade-offs in strategy, we incorporate a multi-criteria decision-making (MCDM) layer with AHP-TOPSIS, assessing profit, consumer surplus, engagement score, and channel efficiency. The experiment results indicate that Netflix-style marketing markedly increases demand and profit in retailer-led frameworks, whereas centralized tactics enhance overall channel performance. TOPSIS analysis prioritizes high-effort, high-engagement methods, whereas the Stackelberg experiment underscores the influence of power dynamics on profit distribution. This study presents an innovative integrative decision-making methodology for enhancing live-streaming commerce tactics in data-driven and consumer-focused markets. Full article

As an emerging e-commerce model, live streaming e-commerce integrates instant interaction, content marketing, and online sales to bring consumers a new shopping experience. However, there are many risks in the process of live e-commerce transactions. Identifying key risk factors and implementing targeted control measures are crucial for promoting the sustainable and healthy development of live streaming e-commerce. This paper firstly constructs a business model of live streaming e-commerce transactions according to the transaction scenario and summarizes 24 risk factors from the three dimensions of live streaming e-commerce platforms, merchants, and anchors based on relevant national standards and other relevant literature. Secondly, the Delphi method is employed to modify and optimize the initial risk factors. On this basis, the social network model of risk factors is constructed to determine the influence relationship among risk factors. By calculating the degree centrality, factor types are segmented, and key risk factors as well as influence paths are identified. Finally, corresponding countermeasures and suggestions are proposed. The results indicate that Credit Evaluation System Perfection, Service Evaluation System Perfection, Qualification Audit Mechanism Perfection, Dispute Complaint Handling Channels Perfection, Risk Identification Mechanism Perfection, Platform Qualification, Merchant Qualification, and Merchant Credit are the critical risk factors affecting live streaming e-commerce transactions. Full article

With the rapid advancement of real-time interaction technologies and the continuous breakthroughs in marketing innovation, live streaming e-commerce has quickly become an essential marketing channel for brands. Its real-time and interactive nature significantly enhances consumer immersion in online shopping, thereby accelerating the decision-making process. This study investigates the impact of atmospheric cues in live streaming on impulse buying through the lens of flow experience. The findings reveal that expertise cues, interaction cues, and entertainment cues all contribute to enhancing consumers’ flow experience, which in turn, fosters impulse buying. Moreover, recognizing the importance of consumer heterogeneity, this study examines the moderating effect of self-construal. It finds that, once in a flow state, consumers with a stronger independent self-construal are more likely to engage in impulse buying than those with a more interdependent self-construal. The findings of this study provide valuable insights for brands on better leveraging live streaming e-commerce. Full article

Live-streaming e-commerce has attracted the attention of e-retailers and consumers in recent years. However, there is a lack of evidence in understanding the influence of atmospheric stimuli of live stream on consumer engagement. This paper seeks to examine the effect of festival cues in live-streaming studios on consumers’ intention to stay in the live-streaming context. Results of four laboratory experiments indicated that presenting festival cues enhanced consumers’ intention to stay. In the relationship between festival cues and consumers’ intention to stay, festivalscape perception and pleasure–arousal played serial mediating roles. Product category moderated the effect of festival cues on consumers’ intention to stay. For non-festival products, presenting festival cues led to a stronger intention to stay. The moderating role of involvement was significant in the relationship between festival cues and intention to stay. Regarding less involved consumers, presenting festival cues significantly enhanced their intention to stay. Our work contributes to the existing knowledge of e-commerce live-streaming, festivalscape, and festival shopping, and offers relevant managerial implications for live-streaming e-retailers. Full article

Driven by digital technology, live streaming business is becoming increasingly common worldwide. Unlike traditional online shopping, live streaming commerce integrates real-time interaction, social communication, and e-commerce. It also eliminates the limitations of one-way information transmission and promotes purchasing behavior by conveying signals such as products, brands, and the personal charm of live streamers to consumers through real-time communication. The core issues explored in this study are whether the cues between the signal transmitters and receivers are consistent and how they affect consumers’ purchasing behavior. In this study, the consistency of the signal is measured by five dimensions, namely self–product fit, live streamer–product fit, live content–product fit, danmaku content–product fit, and self–live streamer fit. In order to study this problem, we constructed a structural equation modeling (SEM) model. In the causal relationship between signal consistency and purchase intention, performance responses have also been discussed as mediating variables. Accordingly, signal consistency enables consumers to perceive performance expectancy, whereby consumers believe that products that perform well positively influence satisfaction. To verify these hypotheses, 443 randomly collected valid questionnaires were used in empirical analyses. The results showed that most of our hypotheses were validated, aside from the relationship between self–live streamer fit and perceived performance expectancy. The findings suggest that signal consistency cues such as live streamer–product fit, live content–product fit, danmaku content–product fit, and self–product fit positively influence consumers’ perceived performance expectancy and satisfaction, which in turn promote purchase intention. These findings not only enrich the application of signaling theory in the field of live streaming commerce but also expand consumer behavior theory. Moreover, they also inspire practitioners in live streaming commerce by helping them to improve live streaming sales and bolster their market competitiveness through signal display optimization, content planning, and precision marketing. Full article

This study aims to explore how key opinion leader (KOL) characteristics influence users’ purchase intentions in live shopping. Using a mixed-methods approach, the study combines real-time pop-up text mining and questionnaires, analyzed via Latent Dirichlet Allocation (LDA) topic modeling and a research framework integrating the stimulus–organism–response (SOR) model with pleasure–arousal–dominance (PAD) theory. Results indicate that KOL characteristics—namely professionalism, popularity, attractiveness, and entertainment—enhance users’ pleasure, arousal, and trust. These emotions boost impulse buying intentions but not planned ones. Planned purchase intention acts as a partial mediator, whereas impulse purchase intention serves as a full mediator. This research uncovers the intricate mechanism linking KOL traits to user emotions and purchase intentions. By integrating PAD theory and the SOR model, it examines emotional mediators, addresses prior theoretical gaps, offers vital insights for refining live-streaming marketing strategies, and holds substantial theoretical and practical significance for the sustainable growth of live-streaming e-commerce. Full article

(1) Live streaming commerce has refined online consumer engagement by fostering a real-time, socially enriched shopping environment. Despite its growing prominence, the role of social scene characteristics in consumer purchase decisions in live streaming remains insufficiently examined. (2) This study uses the Cognition-Affection-Conation (C-A-C) framework to examine how these social characteristics influence purchase intention through the mediating roles of emotional and cognitive trust, with privacy concerns as a moderator factor. The research employs Structural Equation Modeling (SEM) to test the hypothesis using data from 504 valid responses. (3) The results demonstrate that the characteristics of social scenes proposed in this study enhance consumer trust and positively impact purchase intention. Moreover, privacy concerns weaken the effect of interactivity atmosphere and scene immersion on emotion trust, though they do not weaken the effect of social identity on emotion trust. (4) These findings contribute to the theoretical understanding of live commerce by identifying the psychological mechanisms linking the social service scene to purchasing behavior. They also offer practical implications for platforms and merchants seeking to improve consumer engagement and trust in competitive digital marketplaces. This research highlights the importance of integrating social scenes and privacy management into the strategic design of live streaming commerce services. Full article

With the rapid development of e-commerce live streaming, streamers play a crucial role in consumers’ shopping experience and decision-making. In this context, humor has gradually attracted widespread attention in the field of marketing as a communication strategy to enhance interaction between streamers and consumers. According to social exchange theory, this study specifically explores the differing impacts of e-commerce streamers’ humor styles on relationship quality, as well as the positive effect of relationship quality on consumers’ repurchase intention. Data were collected via an online survey with 519 valid responses, and structural equation modeling (SEM) was conducted using AMOS. The results reveal that affiliative humor significantly enhances consumers’ trust (β = 0.22, p < 0.001), which positively affects satisfaction and commitment, ultimately increasing repurchase intention. In contrast, aggressive humor undermines trust (β = −0.63, p < 0.001), leading to lower repurchase intention. This study provides theoretical support for e-commerce streamers to enhance consumers’ repurchase intentions by increasing the use of affiliative humor and reducing the use of aggressive humor. Full article

Over the past decade, the concept and practice of shopstreaming (also known as livestream shopping) have grown significantly within the e-business world, as it integrates live streaming technology with e-commerce. However, the relationship between the perceived benefits of this shopping mode and the intention to use it is not fully understood. This research seeks to enhance the current understanding of this relationship by studying the association in the context of fashion and personal care (FPC) goods. Uniquely, the study bases its core model on a combination of the theory of planned behaviour (TPB) and some elements of the enhanced stimulus–organism–response (ESOR) theory, which incorporates cognitive, emotional and physiological processes within the organism component. This enables the development of a framework which facilitates the examination of the relationship between perceived benefits and intention to purchase within a shopstreaming environment, moderated by attitude (organism). The uniqueness of the study is further enhanced by the inclusion and analysis of perceived platform quality and the streamer’s (seller’s) influence as moderating constructs. These analyses were carried out using data from 901 respondents to a structured questionnaire, collected over a 4-month period. The results of the study showed that the seller has a significant moderating effect on the mediation of intention to purchase by attitude, though the mediation between perceived benefits and attitude was not affected by perceived platform quality. The study therefore offers significant insights to Saudi FPC brands, streamers and marketing agencies to develop and optimise sales and content strategy. Full article

Social commerce blurs the boundary between online social interaction and online shopping. The emergence of video streams introduces novel marketing modalities to social commerce. However, there is a paucity of comprehensive studies investigating the impact of emerging marketing techniques such as short videos and live streaming on consumer purchase intention. This study employs Bourdieu’s conceptual framework to construct a Field Theory-based model, investigating the impact of atmospheric and capital characteristics of social commerce platforms on consumer purchase intention through affective and rational pathways, respectively. A survey involving 515 Chinese social commerce consumers demonstrates that atmospheric characteristics (emotion and social presence) and capital characteristics (information quality and quantity) in video streams enhance similarity and power. Both similarity and power are associated with an increase in consumer purchase intention. This study validates the dual-path influence of social commerce characteristics and discusses theoretical and managerial implications. Full article

Live-streaming commerce (LSC) is a new shopping method that combines the characteristics of social commerce and e-commerce. Since the global coronavirus disease 2019 (COVID-19) outbreak, the number of branded platforms is growing rapidly, and their competition is fiercer than ever. Understanding consumer needs and improving service quality have become the key issues for survival. This study aims to develop and empirically validate a multidimensional hierarchical model for measuring service quality on LSC platforms. A hierarchical reflective construct was proposed to capture dimensions based on the literature on e-retail and social commerce service quality. The proposed model was rigorously tested using two waves of survey data through the partial least squares method. Results showed that the service quality of LSC is a third-order, reflective construct and includes five primary dimensions (the streamer’s interaction quality, physical environment, website quality, outcome quality, and ordering process) and twelve sub-dimensions (trustworthiness, expertise, responsiveness, telepresence, consumption scenarios, information quality, system operation quality, fulfillment and refund/compensation, privacy/security, contact, and ease of use). Findings also supported the hypothesis that service quality has a significant impact on customers’ satisfaction and their behavioral intentions. Furthermore, we tested an alternative model, and the results showed that the relationship between dimensions and overall assessment is reflective rather than formative. We offered directions for further research on LSC service quality and discussed managerial implications stemming from the empirical findings. Full article

In recent years, live streaming has become the mainstream way of online shopping in China. As the dominant player and performer in live streaming, streamers play a crucial role in consumers’ purchase decisions. Therefore, this study focuses on the self-presentation behavior of streamers in the context of e-commerce live streaming and explores the mechanism of its influence on consumers’ purchase intention from the perspective of persuasion knowledge. A total of 538 consumers from China participated in this anonymous survey. The results indicate that helpful and empathetic behaviors of streamers can significantly enhance consumers’ purchase intention, while derogatory, exaggerated, and flattering behaviors of streamers can significantly diminish consumers’ purchase intention. Persuasion knowledge played a mediating role and had a significant negative impact on purchase intention, while anticipated inaction regret weakened its effect on purchase intention. Full article

In recent years, with the rapid development of live-streaming commerce, the social dynamics and psychological impact of such online activities merit further discussion. In this study, we investigate the sensory experiences of viewers watching live streaming and examine how these online experiences influence consumer well-being. We developed a conceptual model to understand this mechanism based on the relationship between social presence, shopping enjoyment, familiarity, and consumer well-being. The results of 410 samples indicate that (1) social presence in live-streaming commerce has a significant positive effect on consumer well-being; (2) shopping enjoyment plays a mediating role in the process of social presence predicting consumer well-being; and (3) familiarity plays a moderating role in the second half of the indirect effect of social presence on well-being. This study examines the relationship between social presence and consumer well-being in the context of live-streaming marketing, expanding the research scenario of consumer well-being and clarifying the psychological mechanisms and boundary conditions of the effect of social presence on consumers well-being, which has important implications for online interactive marketing enterprises to enhance social presence and promote consumers long-term well-being. Full article

Livestreaming shopping platforms have emerged as dynamic and innovative channels for e-commerce, mobile commerce, and social commerce, revolutionizing the way consumers engage with online retail. Drawing upon the Technology Acceptance Model 3 framework, this research seeks to provide a comprehensive understanding of the interplay between perceived risk, trust, innovativeness and deal proneness in shaping consumers’ purchasing behavior in the livestreaming social commerce context. A snowball sampling method was applied to collect data from 675 Chinese livestreaming customers in December 2022. A PLS-SEM analysis was used to measure the proposed model. The results confirm that the present model has weak explanatory power except for medium predictive accuracy in explaining consumers’ purchasing behavior in the livestreaming social commerce context (R² = 0.35; Q² = 0.31). This research contributes to the social commerce literature by extending the Technology Acceptance Model 3 (TAM 3) to the novel domain of the livestreaming social commerce context, offering insights into the unique drivers of consumers’ purchasing behavior. It also provides practical implications for platform developers and marketers aiming to enhance consumer experiences and increase sales performance, thereby increasing economic growth. Full article

As a new e-commerce model, live-streaming commerce enhances consumers’ shopping experiences by providing deeply involved online interaction. However, in live-streaming commerce, consumers are also faced with many shopping risks, such as fake products, poor after-sales service, etc. Therefore, we propose an analysis framework to evaluate consumers’ shopping risks on live-streaming commerce platforms. In our framework, we first construct a multidimensional consumer shopping risk evaluation index system by considering different stakeholders involved in live-streaming commerce. Then, we assess consumer shopping risks based on an intuitionistic fuzzy analytic hierarchy process and cloud model. Our framework is applied to evaluate consumers’ shopping risks on four typical live streaming commerce platforms in China, i.e., Taobao, Douyin, Kuaishou, and JD.com. Our research results provide decision support for different parties involved in live-streaming commerce and thus promote the sustainable development of the live-streaming commerce industry. Full article