Green product experience has become an important marketing strategy for corporations to tap potential green consumers. Based on the theory of planned behavior, this article explores the influence of attitude, subjective norm, and perceived behavioral control on consumers’ green purchasing intentions from the perspective of green product experience with consumers in China, Japan, and Korea as the research objects. Our findings suggest that green product experience of consumers in the three countries can directly affect consumers' green purchasing intentions. Green product experience has an indirect influence on consumers’ green purchasing intention through the mediating effect of attitude, subjective norm and perceived behavioral control. The multiple group comparison shows the external validity of TPB through an examination of green purchasing behavior in different cultural settings, which will help enterprises implement effective experience marketing strategies.

Social networking sites (SNS) is an image-oriented sharing platform and can form social relationships among users. This allows individuals to create and share the contents which include their stories, ideas, reviews, opinions, and evaluations, etc. Consumers who sympathize with and trust these contents will follow them and form the relationships. Contents created and shared by individual users is more effective than advertisements delivered by brands in generating electronic word of mouth (e-WOM). Accordingly, opinion leaders and influencers who influence potential customers based on their opinions and style related contents have emerged in various fields such as health, fitness, fashion, beauty, food, and high-tech.

Today, customers have more authority thanks to digital tools, and extensive information access. Customers use technology to hold companies accountable and utilize consumer rights. Personal data and information can be generated, stored, and exchanged almost indefinitely through digital and the Internet. In particular, maintaining a digital environment requires facilitating collaboration and simplifying decision-making, and companies need structures and plan to facilitate faster, easier, and more efficient flows. This study focuses on the impact of Corporate Digital Responsibility-based ESG fashion brand activities on purchasing intentions, and we will present suggestions after identifying value congruence, brand trust, and attitude effects on CDR-based ESG fashion brand activities.

The research examines the influence of emotions on tourists’ visit intention towards sustainable tourism and evaluation by using the application of an electroencephalogram (EEG). This method can give objective information about tourist emotion reactions towards sustainable tourism experiences that will drive tourists’ visit intention. The main research objective was to observe and evaluate consumer’s brain activity in different brain regions while they were being exposed by sustainable tourism experiences as stimuli. The participants consists of 30 local and foreign tourist, have normal vision, right-handed, and are considered as potential visitors of sustainable tourism destination. The participant’s brain activity was collected using neuroheadset (EEG) with an international 10/20 system. Analyzing of tourists’ emotions may help marketers to build their customer's experience and reach their target markets more effectively and develop strategies to ensure that the consumer’s attracted.

The wide application of digital media technology in fashion shows has become the epitome of the development and innovation of today's fashion industry, enabling designers to break through the constraints of time and space, changing the performance of today's fashion shows, and making them present unprecedented new features. With the development of information technology, the integration of emerging digital technology and the fashion industry is accelerating. So far, separate studies have been carried out in various academic fields on the combination of Metaverse and NFT, but the current status and nature of relevant research are still incomplete. Furthermore, the current research on virtual fashion shows and NFT in China's apparel industry is limited. The purpose of this study is to investigate the influence of digital fashion marketing stimulation on consumer brand attitudes using the stimulation-organ-response (SOR) framework model. By analyzing 77 cases of virtual fashion shows in China, this study obtained antecedent variables and designed a research model. An online sample of 300 Chinese Gen Z consumers was collected and analyzed using SPSS and FSQCA. This research hopes to provide valuable information for the sustainable development of China's fashion industry, and to help Chinese fashion brands confirm the future market development direction of Metaverse and NFT.

Robo-advisors are gaining momentum, as they aim to provide personalized and low-cost financial advice (Jung et al., 2019). However, the effectiveness of robo-advisory is bounded by the lack of trust (Jung et al. 2018). Anthropomorphism or robo-advisor resemblance to a human (i.e., avatar, name, or gender) can remedy that. Indeed, robo-humanization can establish trust and impact on behavioral intents toward the advisory technology through social presence (Go & Sundar, 2019), warmth (Cyr et al., 2009), perceived expertise of the advisor (Qui & Benbasat, 2009), including perceived integrity and persuasiveness (Tan & Liew, 2020). Gender can amplify anthropomorphic cues and, thus, increase trust (Beldad et al., 2016). Finally, trust toward the technology is directly related to its adoption intent (Bruckes et al., 2019).

The attitude-behavior gap and intention-behavior gap has not been research extensively. The purpose of this study is to provide a review of moderating or mediating factors on the relationship between intention or attitude and behavior of sustainable tourism. Intention was defined as the degree of a human being’s resolve to perform a certain action. The construct ‘Intention” has been used widely in some theories like the Theory of Planned Behavior. Researchers usually include the intention construct into their research framework to explain the theoretical mechanism. Sustainable or ecological tourism education has been implemented for years and empirical evidence provides us that almost all tourists are alerted to the importance of sustainability. There is a great challenge that tourists’ behavior might not concur with their intention. Policymakers and marketers really want to know the real factors affecting the association between the intention and behavior of sustainable tourism. Tourists’ purchase intention is a rational process and is affected by safety. Tourist behavior is associated with price and service environment which is a mixture of rational and emotional considerations.

This study investigated the key factors that explain the continuous usage intention of mobile payment users in the post COVID-19 pandemic era. Based on the health belief model (HBM) and communication privacy management (CPM) theory, this study examined how the five constructs of HBM influence mobile payments continuous usage intention through perceived privacy risk and perceived security. It also investigated the moderating role of perceived privacy awareness on the relationship between perceived privacy risk and continuous usage intention as well as the moderating role of information sensitivity on the relationship between perceived security and continuous usage intention.

A ‘brand’ metaverse is a virtual space where customers experience the brand via digital avatars. With the advancement of augmented and virtual reality technologies, a brand metaverse is an important medium for communicating the brand with customers. In this study, we focus on the resemblance between a customer’s self and his/her avatar (i.e., self-avatar resemblance) in the brand metaverse and examine its influence on brand attitude. Prior studies examine self-avatar resemblance exclusively in non-brand-related virtual gaming platforms and test its effect on identity perception and immersion in the platforms. However, few studies probe the extent to which self-avatar resemblance influences customers' exploration in a brand metaverse and their attitude toward the brand. We fill this research gap by uncovering the positive effects of self-avatar resemblance on brand attitude and purchase intentions. Moreover, we proffer that the customers’ engagement toward the brand metaverse platform mediates the relationship between self-avatar resemblance and brand attitude. In addition, based on the interactive nature of metaverse, we hypothesize copresence―the number of avatars exploring the brand metaverse at the same time―to be a moderator, which strengthens the mediation. We conduct an experiment using a fashion brand’s virtual world positioned in a popular metaverse platform. In this experiment, participants create an avatar and freely roam around in the brand metaverse with their avatars. By reviewing the screen recording of each participant’s brand exploration in the metaverse, we measure self-avatar resemblance and other constructs. We also collect responses from questionnaires designed to measure attitudinal and behavioral variables. With the accumulated data, we test the hypotheses using partial least square structural equation model and find the results largely consistent with the hypotheses. With the findings, we provide important and interesting implications to marketing practitioners considering and doing ‘metaverse marketing.’

People spent around 90% of smartphone usage time on mobile applications (apps). In response to these opportunities, companies have developed branded apps to interact with consumers and facilitate loyalty. However, companies have hard time retaining consumers to their own brand due to the fierce competition in the app market. As such, it is imperative to unveil factors driving continuance intention of branded apps. This is one of a key research themes in a recent literature review of marketing research on mobile apps. Most of prior studies have adopted the utilitarian perspective where perceived usefulness and ease of use are identified as the key drivers. However, the fit perspective has received limited attention. It has gained increasing importance as recent studies have emphasized the role of person-app fit and person-brand fit in driving consumers’ purchase decision performance and as consumers’ lives are highly embedded into branded apps. This study aims to investigate continuance intention of branded apps from the fit perspective. This research selected the target branded apps in Taiwan based on prior studies. A market research firm was contracted to collect data randomly on various social media sites, and its membership database by using online questionnaires. 198 usable questionnaires were obtained. Partial least squares structural equation modeling was used to analyze the data.

The objective of this study is to compare the efficiency of VR and 2D in the tourism industry as marketing tools, using affective forecasting and purchase intention. Accordingly, this study has two primary research aims. The first is to examine if a higher level of mental imagery (resulting from VR) is more effective than a lower level (2D) in a tourism marketing context. To evaluate this, the researchers use experimental method, measuring predicted dominance, predicted pleasure and predicted arousal, as well as purchase intention towards the hotel. Relevant to the tourism industry, tourism products are spatially and temporally distant (vs. near). This study aims to investigate how differently mental imagery, resulting from VR (versus 2D) experience, generates affective forecasting of a tourism product when tourists plan distant (versus near) future trips (temporal distance).

With the rise of social media platforms, influencer marketing has become an essential tool for marketers to promote their products and services. Value co-creation behavior of influencers involves collaborating with their followers and brands to create content that provides value to their audience. This approach can help to build stronger relationships with followers and drive engagement and sales for the brands they work with.

The present study choose to conduct consumer behavioral research in Metaverse situation, explores factors that influence consumer shopping enjoyment and purchase intention from product, service and technology perceptive. The research team gathered the primary data through questionnaire subjecting to Chinese consumers (n=300) who know about TaoBao future city which themes on virtual buying in Metaverse. In addition, structural equation modeling is employed to examine the hypothesized relationship among the variables. The result shows that all the driving factors positive effects consumer shopping enjoyment and then influence purchase intention positively. The finding is significantly fundamental to establish theoretical framework future about virtual shopping in Metaverse, and help marketers realize how to set virtual stores in Metaverse to enhance consumer shopping experience so that they could improve consumer purchase intention in the context.

Drawing from the uses and gratification theory (UGT), the study intends to investigate audiences’ motivation to watch Livestream and its influence on subscription and donation. The roles of viewers’ parasocial relationships and identification with live streamers were also examined. The results also indicate the presence of a mediation effect.

This study aims to capture the impact of stakeholder-oriented corporate actions on consumer purchasing behavior, a factor directly related to business performance. I found that consumers' purchase intentions improved when they were aware of a company's social action of downsizing its Russian operations in response to Russia's invasion of Ukraine.

Customers’ service experience is related to the perceived state in the process of interacting with the target at various channel touchpoints (Kaushal & Yadav, 2023). Furthermore, positive customers’ service experiences can increase the repurchase intention of buyers by strengthening the interconnection and cooperation between buyers and suppliers in business-to-business (B2B) firms and reinforcing corporate competitive positioning.

This study addresses the influence that the use of social media for posting travel-related content has on holiday destination choice. The study builds upon the Theory of Conspicuous Behavior and the Theory of Planned Behaviour and aims at understanding whether expected Social Return, referring to the amount of positive feedback that travel posts have on social media, is a determining factor of destination decisions. A model entailing E-Word of Mouth, Social Return, Attitudes, Subjective Norm, Perceived Control and Intention to Visit is proposed and tested with a survey of 177 respondents who had an Instagram account. Data was analyzed using Structured Equation Modelling. The results highlight that Instagram promotes social recognition attributed to e-tourists that share a travel experience considered charming and trendy. Such social recognition is tangibilized by the constructs of e-WOM and social return. The study finds that the intention to visit is impacted by e-WOM, Social Return and Subjective Norm. However, the impact of Attitudes and Perceived Behavioral Control on the Intention to Visit was not supported.

In recent years, with its amazing online interactive promotion ability, e-commerce live streaming has attracted the attention of theoretical scholars and practical experts. This study takes “co-presence (CP) ” and “social presence (SP) ”, which are the prominent features of e-commerce live streaming, as the breakthrough point to explore the mechanism of the influence of co-presence and social presence on purchase intention. In this study, consumers with e-commerce live streaming watching experience are taken as participants, and the method of structural equation modeling is used. It is found that: presence significantly impacts flow experience and consumer purchase intention, while the impact of the two kinds of presence (SP, CP) is variable. the promotion effect of the two kinds of presence (SP, CP) on consumer purchase intention is completely mediated by flow experience. The mediating effect of co-presence on consumer purchase intention through flow experience is regulated by e-commerce live streaming topicality, but social presence doesn’t.

Emojis have become an important element in human-chatbot interaction to communicate emotion. In addition to facilitating emotional communication, emojis are able to engage consumers, enhance relationship strength and influence consumer behavioural intention. Therefore, it is crucial to understand how the use of emojis affects customer-chatbot rapport and purchase intention in the consumption context.

Organizations are increasingly implementing recommendation systems on their websites. A growing body of research is focusing on how the characteristics of online message content affect consumers’ consumption intentions, taking into account consumers’ static personal information, such as demographics. However, limited research has explored how the social context of consumers and online message content characteristics can affect the consumers’ intention to consume events. To address this gap, the present study investigates the joint effects of consumers' social context and arousal potential cues on their intention to attend cultural events. Based on the Target-arousal level theory, we suggest that people who anticipate solo consumption (i.e., accompanied by no one) will tend to attend cultural events promoted by a low arousal potential cue ("A calming experience."), while those who anticipate social consumption (i.e., accompanied by one or more companions) will tend to attend cultural events promoted by a high arousal potential cue ("An exciting experience”). Furthermore, we argue that anticipated enjoyment will mediate this relationship. The joint impact of the social context and arousal potential cues of a cultural event on consumers' intention to attend, as well as the mediating role of anticipated enjoyment, were demonstrated through two studies. The use of message cues and personalized recommendation algorithms as tools to target consumers and improve attendance rates is discussed. References available upon request.