Search Results (80)

Fashion live commerce has rapidly emerged as a compelling format that blends entertainment, real-time interaction, and product promotion. However, limited research has examined how specific experiential and perceptual factors influence consumer behavior in this context. This study aims to identify the key psychological and environmental drivers of satisfaction, continued platform use, and purchase intention among viewers of fashion live commerce. Using the stimulus–organism–response framework, this research focuses on the effects of perceived credibility, social media influencer characteristics, informativeness, internal shop environment, and monetary savings. Data were collected from 300 users of fashion live commerce platforms and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that all predictor variables significantly influence either satisfaction or current use, and both satisfaction and current use significantly predict purchase intention. Among the factors, satisfaction plays a central role, acting as a strong predictor for both current engagement and future buying decisions. These findings offer theoretical insights into consumer engagement in live commerce and provide practical guidance for streamers, marketers, and platform designers aiming to improve user experience and conversion rates. This study contributes to understanding the evolving dynamics of digital shopping environments shaped by social and emotional interactions. Full article

As the online shopping user base continues to grow rapidly, livestream e-commerce has emerged as a pivotal commercial phenomenon. However, consumers’ impulse purchase intentions in this environment are influenced by numerous interrelated factors, and the underlying mechanisms remain complex. To address the limitations of traditional approaches in modeling nonlinear relationships and hierarchical structures, this study introduces an integrated DEMATEL-AISM approach tailored for the livestream e-commerce context. The $\lambda$-intercept method is applied to simplify the system structure and highlight key influencing factors. Based on prior literature, we designed and distributed structured questionnaires to 558 consumers and industry experts, followed by in-depth interviews with five domain experts. Through this process, an indicator system was developed encompassing 15 factors across three dimensions: product, consumer, and livestream room. Using DEMATEL-AISM, we conducted a causal analysis of these factors. The results reveal that: (1) discount intensity, livestream promotional frameworks, and time pressure are the three most critical factors influencing impulse purchase intentions; (2) product monetary value and design features act as fundamental drivers; and (3) consumer upward and downward anticipated regret, perceived product quality, perceived product scarcity, and perceived streamer’s product knowledge have direct impacts on impulse purchase. By identifying these key factors and revealing their interconnections, this study offers strategic, evidence-based recommendations for enhancing consumer engagement and profitability in livestream e-commerce. The proposed DEMATEL-AISM also provides a novel and effective methodological contribution for analyzing the complex influencing factors of impulse purchase intentions in the e-commerce environment. Full article

Despite the ubiquitous application of gamification in livestreaming commerce, the mechanisms driving its impact on consumer participation remain underexplored. To address this research gap, this study integrated two theoretical frameworks: the “Gamification Affordances–Psychological Outcomes–Behavioral Outcomes” framework and the Uses and Gratifications Theory. We investigated how gamification affordances (achievement visualization, rewards, interaction, and competition) relate to the fulfillment of consumers’ diverse psychological needs (cognitive, affective, social, personal integrative, and social integrative). Furthermore, we examined whether meeting these psychological needs influences consumers’ intentions to continue watching and to purchase. We surveyed 354 livestreaming commerce consumers and employed structural equation modeling to analyze the data. The findings revealed that gamification affordances can motivate consumers’ continuous watching and purchasing behavior by satisfying their different psychological needs. We conclude by discussing the theoretical and managerial implications of our findings. Full article

As the role of pets evolves, they are increasingly regarded as members of the family. Although incapable of making independent decisions, pets become unique consumer groups through the purchases of specific products and services made by their owners. In China, the pet economy has developed into a novel economic sector. With the growing concern for pet health, the demand for pet nutritional products continues to rise. This study aims to explore Chinese consumers’ attitudes and intentions towards pet nutritional products in this burgeoning market. A survey was carried out on 600 Chinese consumers who had purchased pet nutritional products in 2024. A two-stage analysis using structural equation modeling and artificial neural network examined the correlation within the research model across 506 samples. The results indicate that perceived benefits, perceived severity, perceived susceptibility, and health consciousness positively influence attitudes towards pet nutritional products, while perceived barriers, health risks, and economic risks negatively impact attitudes. The attitudes of consumers significantly enhance their continuous purchase intentions. This study lays an essential groundwork for advancing pet food products, refining marketing approaches, and conducting future research. Full article

Societies across the globe are growing increasingly environmentally aware, resulting in more and more consumers demanding eco-friendly product alternatives. This phenomenon is also evident in the beauty industry, with many beauty brands striving to add green beauty products to their range and new green beauty product brands continuously emerging in markets. Despite the increased popularity of green beauty products, there is a paucity of published research concerning the antecedents of consumers’ green beauty product brand purchase intentions. As such, the goal of this study was to apply an extended version of the theory of planned behavior to ascertain the factors that predict consumers’ green beauty product brand purchase intentions. Following an explanatory research design, data were gathered from 500 consumers in South Africa. Data analysis comprised structural equation modeling. Confirmatory factor analysis revealed a reliable and valid seven-factor measurement model with good model fit. The path analysis results indicate that collectively perceived environmental knowledge, perceived behavior control, green beauty product ethicality beliefs, green beauty product attitudes, socio-altruistic values, and subjective norms account for 77 percent of the variance in consumers’ purchase intentions toward green beauty product brands. The findings of this study provide a comprehensive view of the antecedents of consumers’ green beauty product brand purchase intentions, which will be of significant value to beauty product marketers in or seeking to enter the green product market. In addition, the psychometric properties and strong predictive power of this model reflect a research instrument that can be used in future research into consumers’ purchase intentions toward green beauty products. Full article

This study focuses on the quality of beauty product reviews as online information, aiming to determine their impact on encouraging continued product purchases by users and to explore the simultaneous ripple effects. This study derived a total of 9 hypotheses, examining the relationship between online review information quality, product purchase, and influencers who create reviews, using the expectation confirmation model and the quality–value–satisfaction–loyalty mechanism. Simultaneously, this study sought to examine the process by which the formation of trust in influencers impacts the intention to purchase other products they recommend. The research results indicate that online review quality positively influences perceived value, satisfaction, and repurchase intention when the expectations for a product match reality. Furthermore, both the confirmation of online reviews and satisfaction with the product facilitate the transition from online to offline and back, which in turn generates ripple effects. The results of this study not only add clarity to the interrelationship between online and offline contexts but also provide implications for businesses in formulating strategies to leverage influencers for product sales. Full article

As global awareness of animal welfare continues to rise, it has become essential to understand the factors that shape individual attitudes and consumption behaviors related to animal welfare. This study empirically investigates how pet ownership influences attitudes towards animal welfare and related consumption intentions among Chinese university students. Findings demonstrate that students from pet-owning households exhibit significantly more favorable attitudes and behaviors concerning animal empathy, awareness of animal welfare, willingness to purchase animal welfare certified products, and the willingness to pay a premium for animal welfare labels. Pet ownership fosters emotional resonance, enhancing empathy and perceptions regarding animal welfare, and influences preferences for animal welfare certified products through simulated consumer choices. By applying propensity score matching (PSM) to mitigate endogeneity concerns, this research advances theoretical discussions surrounding animal welfare attitudes and consumption behaviors. Looking ahead, the promotion of animal welfare should involve coordinated efforts across educational institutions, policy frameworks, and market mechanisms to cultivate a broader understanding and adoption of animal welfare principles. Full article

Video blogging channels for social media technology continue to innovate and evolve, and brands are beginning to rely on social media channels for product marketing. The factors influencing consumers’ purchase intention for products advertised by video bloggers are numerous and unclear. The main purpose of this study is to explore the mechanism by which the characteristics of video bloggers influence the formation of emotional cognition and then influences consumers’ purchase intention. Based on the SOR model, 518 questionnaires were administered to Chinese video blogging users. The AMOS 24.0 and SPSSAU 24.0 web tools were used to analyze the study data. Empirical results indicate that consumers’ perceived homogeneity, expertise, degree of emotional attachment to video bloggers, and perceived source confidence have a direct or indirect positive influence on purchase intentions. Evident advertising intention weakens the relationship between emotional attachment and purchase intention. This result is strategically important for a brand’s advertising efforts and market share and provides new research insights and frameworks for studying consumers’ advertised product purchase behaviors in the context of video blogging channels for social media. Full article

Recently, with climate deterioration and environmental pollution, consumers are becoming more and more aware of the use of sustainable energy. In particular, the demand for electric vehicles that use sustainable energy is also increasing. In addition, due to the simple driving principle of pure electric vehicles, many electric vehicles developed by electronics companies are continuously being launched. Electric vehicles not only use renewable energy to protect the environment but also save on various usage expenses, so they are expected to become the main products in the mobile travel equipment market in the future. This study aims to explore the impact of product design dimensions on electric vehicle (EV) purchase intentions, provide a theoretical basis for companies’ differentiation strategies, and reflect the impact of product design on purchase intention. This study uses Davis’s TAM combined with environmental awareness (EA) for analysis; an online survey was conducted on Chinese (n = 468) and Korean (n = 409) consumers, both male and female, aged 20–60 years and above. We found that, for Chinese consumers, the aesthetic and symbolic dimensions do not affect perceived usefulness and perceived ease of use, but they do affect environmental awareness, while the functional dimension affects not only perceived ease of use and usefulness but also environmental awareness. For Korean consumers, the aesthetic, functional, and symbolic dimensions all affect perceived ease of use and environmental awareness, but perceived usefulness is only affected by aesthetics and environmental awareness. Through simulation analysis, the results show that perceived ease of use, usefulness, and environmental awareness all directly affect purchase intentions. Perceived ease of use and environmental awareness are particularly important for Chinese consumers, while Korean consumers pay more attention to the test drive experience and environmental awareness. The results show that electric vehicle manufacturers should develop new technologies for the Chinese market to attract consumers, while in the Korean market, they should improve perceived usefulness through test drives and pay attention to environmental awareness. Specific statistical data show that both Chinese and Korean consumers assign importance to the impact of environmental awareness on purchase intention, proving the importance of environmental awareness. The results of this study will be of great reference value to electric vehicle manufacturers, policymakers, and consumer behavior researchers, helping them to better understand the role of product design in improving the market acceptance of electric vehicles. Full article

Enhancing residents’ purchasing intention of prepared dishes is crucial for the sustainable development of the prepared dishes industry. Understanding how residents’ cognition influences their continuous purchasing intention can provide valuable insight for developing and refining company strategies, thereby reducing industry development obstacles. Based on the theory of distributed cognition, this study utilizes questionnaire data from urban residents in Beijing and Shanghai, and employs Structural Equation Modeling to explore the influence of cognition on the continuous purchasing intention of Chinese urban residents towards prepared dishes. The study results reveal that: (1) Individual power and geographical power have a significant positive effect on residents’ continuous purchasing intention for prepared dishes, while cultural power does not have a significant effect. (2) Risk perception partially mediates the effect of individual power and geographical power on continuous purchasing intention and fully mediates the effect of cultural power on continuous purchasing intention. Recommendations include: (1) The government should enhance standardization and supervision to create a favorable consumption environment; (2) Enterprises should provide more objective and transparent information to improve residents’ knowledge of prepared dishes and establish a good reputation. Full article

Social media marketing has become a crucial component of contemporary business strategies, significantly influencing brand visibility, customer engagement, and sales growth. The aim of this study is to investigate and determine the key factors guiding customer attitudes towards social media influencers, and, on that basis, to explore their effects on purchase intentions regarding advertised products or services. A total of 376 filled-in questionnaires from an online survey were analysed. The main characteristics of digital influencers’ behaviour that affect consumer perceptions have been systematized and categorized through a combination of both traditional and advanced data analysis methods. Structural equation modelling (SEM), machine learning and multi-criteria decision-making (MCDM) methods were selected to uncover the hidden dependencies between variables from the perspective of social media users. The developed models elucidate the underlying relationships that shape the acceptance mechanism of influencers’ messages. The obtained results provide specific recommendations for stakeholders across the social media marketing value chain. Marketers can make informed decisions and optimize influencer marketing strategies to enhance user experience and increase conversion rates. Working collaboratively, marketers and influencers can create impactful and successful marketing campaigns that resonate with the target audience and drive meaningful results. Customers benefit from more tailored and engaging influencer content that aligns with their interests and preferences, fostering a stronger connection with brands and potentially affecting their purchase decisions. As the perception of customer satisfaction is an individual and evolving process, stakeholders should organize regular evaluations of influencer marketing data and explore the possibilities to ensure the continuous improvement of this e-marketing channel. Full article

China officially entered the aging society in 2000, witnessing a rapid surge in demand for senior care services. In response, the real estate industry introduced the concept of Continuing Care Retirement Communities (CCRCs). The relationship between this model and complex risks in urban security resilience encompasses various factors, including filial care, demand for senior care, and urban sustainable development. The strategic layout and planning of CCRC enhance the security resilience of urban operational systems in the face of intricate senior care risks. However, the development and operation of CCRCs have encountered the challenge of sluggish project progress, primarily due to a lack of robust purchase intention. This study investigates the factors influencing the purchase intention of CCRCs in mainland China, using the Theory of Planned Behavior (TPB) as the foundational theoretical model. Additionally, three contextual constructs (economic cost, product performance, and external stimuli) were introduced to form the initial model. Based on the initial model, six factors were identified and nine hypotheses were proposed. A questionnaire survey was conducted to collect data, and Structural Equation Modeling (SEM) analysis was employed to test the proposed hypotheses. The results indicate that consumers’ purchase intention of CCRCs is primarily influenced by product performance and subjective norms, followed by economic cost. At the same time, external stimuli have a significant indirect effect on it. Full article

With the continuous development of electric vehicle (EV) technology, there is an increasing need to analyze the factors influencing customers’ purchase intentions. According to the data of customers’ vehicle experience evaluation and personal information, this paper develops the analysis models of influencing factors using the analysis of variance algorithm (ANOVA) and Kruskal–Wallis algorithm. Then, the purchase intention model for EVs is proposed using the random forest method. Finally, the optimization model for the EV sales plan was built. The results show that the main factors influencing customers’ purchases are different for different vehicle brands. However, the customer’s evaluation of the vehicle experience has a greater influence on the customer’s purchase. Compared to other prediction models, the random forest model has the highest accuracy. For 3 EV brands, the prediction accuracies are 97.8%, 98.9%, and 97.6%. In addition, this paper predicts the purchase intentions of 15 customers. By optimizing the sales plans for 3 EV brands, the predicted purchase rate of 15 customers increased from 40% to 53%. The research work contributes to the sales of electric vehicles, the accurate positioning of customers, and the identification of more potential customers. Full article

With the rapid development and the increasing importance of the consumer market of prepared dishes in China, it is imperative to study the formation mechanism of Chinese consumers’ continuous consumption intention (CCI) toward prepared dishes for promoting the sustainable development of Chinese prepared dishes industry. The aim of this study is to study the formation mechanism and the role of perceived risk and trust in it. Based on the Expectation Confirmation Model, this study constructed a model of continuous consumption intention of prepared dishes by introducing perceived risk and trust. 381 adult consumers were surveyed and the data was analyzed by an Exploratory Factor Analysis and the Partial Least Squares Structure Equation Model. The results showed that: (1) The confirmation of expectation had a significant positive impact on trust and satisfaction, a significant negative impact on the perceived risk (PR). Trust and satisfaction had a significant positive, while PR had a significant negative, impact on CCI. (2) The dimensions of PR included social, health, quality, psychological and purchasing risk, among which quality risk had a significant negative impact on CCI. (3) All dimensions of trust (ability, integrity, benevolence and government trust) had a significant positive impact on CCI, among which integrity trust played the most important role. (4) Overall, trust had a significant negative impact on PR. Benevolence trust could mitigate all dimensions of PR, integrity trust could mitigate all dimensions of PR except health risk, and ability trust, government trust could only mitigate quality risk. Therefore, the enterprises should pay high attention to the quality of their products and the establishment and maintenance of consumer trust, and the government should establish an authoritative image. Full article

In this study, the relationship between service quality, customer satisfaction, and behavioural intention is investigated within a specialised nautical sports centre that offers kitesurfing in Portugal. Using a path analysis model, this study aims to evaluate the effect of the dimensions of service quality on satisfaction and behavioural intention, as well as the effect of satisfaction on the customer’s behavioural intention. According to the results, customer satisfaction is influenced directly by service quality dimensions such as responsiveness, assurance, empathy, and tangibility. This, in turn, positively impacts their behavioural intention to make future purchases. The responsiveness dimension directly affects behavioural intention, while empathy contributes to it indirectly through customer satisfaction. This study addresses a gap in current water sports research by examining the antecedents of customers’ behavioural intention, for the first time, to a nautical sports centre, deriving important managerial implications. Thus, to increase customer satisfaction and increase the likelihood of repeating their experience, it is advised that the sports centre implement clear work procedures, offer training to staff on responsiveness and empathy, and regularly gather feedback from customers to facilitate continuous improvement of their service design. Full article