The rapid development of artificial intelligence technology has accelerated the promotion and application of service robot in the market. Although technology has provided service robot with increasingly autonomous functions, more research is needed on how service robot with different levels of autonomy affects customer satisfaction in the hospitality industry. Guided by affordance theory, the study examines whether service robot operational and decisional autonomy would have effects on customer satisfaction and explored explanatory mechanism. Adopting an experimental vignette method (EVM), the study reveals that direct effect of service robot operational autonomy and indirect effect of decisional autonomy on customer satisfaction, and functional affordance played a positive mediating role in the impact of service robot autonomy on customer satisfaction. This research extends and enriches the relevant literature on human-machine interaction and customer satisfaction research. Further, the study also provides marketing insights for enterprises to improve autonomous robot design and enhance customer relationships.

We explore how young, educated consumers in a collectivist emerging market, utilize social media (SM) to increase self-esteem through interaction with retailers and achieve emotional well-being. Primary data were collected in Vietnam through a survey. 192 responses were analyzed using PLS-SEM. The findings show that SM provides an online space for value co-creation, where young consumers feel more closely connected with the service provider and express themselves to retailers. Close interaction via a retailer’s mediation “responsiveness” facilitates consumer learning and provides opportunities for consumers to convert initial knowledge to second stage knowledge through conversion. In the process of mediation and interaction, SM is used to facilitate the learning cycle. Also, retailers apply the value-in-use concept by adapting relevant information to better suit a particular individual’s needs. This imbues a sense of self confidence and results in consumers gaining self-esteem.

Influencers have become a critical component of marketing strategy to increase awareness, encourage consideration, and drive purchases. A new type of influencer, computer-generated and artificial intelligence-powered avatars, has emerged amid this boom. Despite the mixed marketing results virtual influencers deliver, they are generally thought to create similar engagement as human influencers. Consumers appear capable of developing complex psychological processes when engaging with virtual influencers. Even though the positive impact of influencers is evident, there is a growing concern about how they can affect consumers' well-being. The feeling of envy is a significant well-being concern in the social media world. Assuming virtual influencers can deliver similar emotional effects as human influencers, can we feel envy towards virtual influencers?

Since consumers have expanded their interest in global countries with the ease of access to global content through online platforms such as YouTube, marketing practitioners endeavor to uncover an underlying mechanism on how consumers’ interest in global countries would prompt their digital shopping behavior. However, prior literature has not concentrated on the influence of watching videos about global countries on consumers’ digital shopping intentions. By scrutinizing a proprietary dataset regarding consumers’ YouTube watching history and shopping website/app usage behavior, we find that watching global content could increase consumers’ digital shopping duration. In addition, we also find that consumers watching more global content have variety-seeking tendencies when they use shopping websites and apps. Furthermore, we investigate the moderating factors such as social media search and consumers’ sentiment toward different countries on digital shopping. Our findings contribute to the international marketing literature and provide managerial implications to digital media platforms and global companies that utilize target recommendations strategy for marketing communication.

Metaverse provides technology for people to connect, find communities, and grow businesses. Its sales have seen growth during the COVID-19 pandemic. In an era of metaverse, luxury brands such as Gucci, Ralph Lauren, Burberry, Balenciaga, and Dolce & Gabbana are trying to adapt to new changes. They launched NFT(Non-fungible token) goods, digital fashion, and virtual luxury goods on various metaverse platforms such as Zepeto, Roblox, and Fortnite. For example, Ralph Lauren in Zepeto provides various types of luxury items, immerses in virtual performances, and has a game plot interaction. As people immerse themselves in the Metaverse, they feel happy from various activities—such as watching advertisements, drinking juice, and playing with friends. Thus, what factors should be considered when the luxury brands manage the metaverse?

Social media has emerged as a prevalent tool for businesses in recent years through which brands actively engage in promotions. This development has resulted in several social media trends aimed at garnering increased consumer engagement on various social media platforms that brands utilize routinely. We investigate one such prevalent social media trend: brands sharing memes. Several popular brands, such as Netflix, regularly post memes on social media platforms. Therefore, it is important to study the brands’ use of memes and their resultant impact on consumer behavior.

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.

Technologies, such as Artificial Intelligence (AI) and robotics are emerging as a new way to improve services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has registered a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). However, very few of the existing studies highlight the customers’ perspective and sentiments on service robots (Luo et al., 2021) or the robot-human interactions/ customer service experience (Choi et al., 2021). Thus, further studies in the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are necessary (Loureiro et al., 2021). This research intends to understand how different types of robots influence customers’ perception of the service provided. Therefore, the following research questions are proposed; Can humans develop feelings of identification with a service robot? Can the identification that customers perceive between themselves, and service robots be strong enough to influence the creation of a close relationship between both parties? What are the features of service robots that heighten customer well-being?

The social constructionist theory of art states that the value of art and luxury brand design is constructed by social interactions. It distinguishes between an independent "reality" and a socially constructed "reality," in which meanings can differ. However, research on luxury fashion brands mainly focuses on consumers' reality and rarely examines the topic through a social constructionist lens. This paper looks at the impact of worldwide luxury fashion "designers’ reality" on "consumers’ reality” when evaluating the brand. Three studies investigated how consumers and designers perceive premium and luxury brand design.

As one of the biggest service-oriented industries worldwide, the hotel industry significantly contributes to environmental degradation in several ways. Service marketers, consumers, and policy makers are increasingly aware of the damage that excessive natural resources depletion in the guise of water and energy consumption and CO2 emissions by hotels might bring about to the planet. As a result of the growing global concern about climate change, there has been an increase in consumer demand for environmentally-responsible hospitality options. One such option is green hotels, which are environmentally-conscious hospitality properties that are gaining popularity worldwide at a rapid pace. Consumers who prioritize eco-friendliness are willing to pay a premium for green hotels. However, unlike tangible products, services such as hotel experiences are subjective, emotional, and therefore, difficult to evaluate before actual usage. One of the prominent ways in which consumers assess green hotels’ credibility is through user generated content in the form of reviews.

This research intends to examine whether these types of data – behavioral versus social networking data – affect consumer response to personalized ads. With the advancement in technology, marketers have access to various types of personal data, including their online/offline behaviors and social networking activities, and use those data to retarget consumers. Moreover, this research examines the moderating role of SNS privacy concerns on consumer response to different types of retargeted ads. The findings of this research may offer theoretical and practical implications to understand consumers' responses to retargeted ads that use social networking information.

The hospitality industry is widely using customer data to develop successful personalized marketing communication. However, in the event of information leakage, personalized advertising may escalate customers’ privacy distress. Building on Conservation of Resources theory, this study proposes three dimensions for privacy threats that impact the relationship between personalized hospitality advertising and consumer responses. Findings from six experiments across high and low involvement hospitality products demonstrate diverging effects of personalized advertising depending on the type of privacy threat communicated. Results further indicate that customers’ psychological comfort mediates the relationship between high-personalized advertising and the customer response to the advertising when privacy threat is high. Additionally, when the perceived severity and distance of the announced privacy threat are high and low respectively, rational appeals generate higher levels of psychological comfort, while the same happens for emotional appeals when the perceived scope of the threat is high. The study concludes with value-adding theoretical and managerial implications for the hospitality industry.

Intelligent machines (e.g., artificial intelligence, algorithms, and robotics) with the capability to make decisions autonomously either augment or substitute human employees due to rapid evolution in technology (Man Tang et al., 2022; Larivière, et al., 2017). Therefore, studies have shown that in consumer services, the role of intelligent machines falls into two categories: augmentation or substitution of human employees (McLeay et al., 2021; Larivière, et al., 2017). Specifically, human employee augmentation means that the role of intelligent machines is to assist and complement human employee, with the two used together to produce better outcomes (Larivière, et al., 2017). For example, in a retail bank in Japan, collaborative robots work side by side with bank employees to serve customers (Marinova et al., 2017); IBM’s Watson can assist doctors with diagnosis (Larivière, et al., 2017). Human employee substitution reflects the role of intelligent machines to replace human workers (McLeay et al., 2021). For example, restaurants such as Spyce, where robots are replacing human employees to take orders for customers (Wang et al., 2022). However, there are still a lot of unexplored aspects concerning consumers’ specific reactions toward this new form of a service provider. The study examines customers responses when human employees are augmented or substituted by intelligent machines, including responses that promote beneficial consumption (e.g., join a health program) and those that promote harmful consumption (e.g., pursue high return-risk offerings, enhance preferences for risk-taking behavior). In this article, we attempt to answer the following questions:

Metaverse blends the physical and virtual worlds, transforming the customer's shopping experience. This study aims to identify the psychological mechanism in the metaverse environment and the relationship between metaverse experience and consumer happiness. To identify metaverse experiences, both behavioral and functional magnetic resonance imaging (fMRI) studies were conducted. In a behavioral study, we found that consumers' happiness increased when participants were in an immersive metaverse space. In the fMRI study, we found greater activation in the medial prefrontal cortex (MPFC) and lateral occipital cortex (LOC) regions in the high level of the immersive metaverse and found a positive relationship with consumers' happiness. This paper is the first attempt in marketing to provide an integrative brain map for the metaverse experience. This brain map helps marketers better understand the consumer experience. This study suggests that only in the immersive metaverse space where virtual and physical experiences interact can consumers become one with the virtual space and maximize customer experience values.

This study aims to empirically investigate how corporate strategy mitigates consumer boycotts caused by animosity toward economic sanction. First, the study focuses on the cross-culture emotions (i.e., animosity and affinity) and explores the direct and indirect effect of animosity toward economic sanction on boycott attitude (via consumer affinity). Additionally, it focuses on the moderating effect of brand strength and corporate social contribution on boycott attitude. We conduct a longitudinal analysis of boycotts by South Koreans on the Japanese products, which started in South Korea in 2019; and additionally, we employ PROCESS macro to test the moderated mediation hypothesis, using the data collected from South Korea in 2020 and 2021. Our findings reveal that the data collected in 2020 and in 2021 have the same implications. The main findings are as follows. First, while animosity toward economic sanction directly increases boycott attitude, it also indirectly increases boycott attitude via consumer affinity. Second, the assumption that both brand strength and corporate social contribution weaken the positive and direct effects of animosity toward economic sanction on boycott attitude was not supported. Third, we find that corporate social contribution weakens the positive and indirect effect of animosity toward economic sanction on boycott attitude. However, unlike our prediction, brand strength strengthens the positive and indirect effects of animosity to economic sanction on boycott attitude. The three key theoretical implications are as follows. First, while many studies have examined the role of animosity as a cause of boycott, only a few studies have simultaneously addressed the conflicting emotions of affinity (Kim, Yan, Kim, Terasaki, & Furukawa, 2022). This study extends boycott research by exploring the relationship between animosity and boycott attitudes by considering the mediating effect of affinity. Second, to our best knowledge, only a few boycott studies have explored corporate strategies that adequately respond unanticipated country boycotts where the companies are not directly associated with the causes or motives of such boycotts (Kim & Kinoshita, 2023). This study extends boycott research by investigating brand strength and corporate social contribution as corporate strategies in the context of consumer boycotts. Third, although it is known that consumer boycotts change with time, only a few boycott studies are based on longitudinal analyses (Ettenson & Klein, 2005); hence, this study examines consumer boycotts longitudinally to improve the generalization of our findings. Our findings also present some managerial implications for global companies facing unexpected country boycotts by local consumers. When boycotts are caused by economic sanctions between countries, brand strength exerts a two-sided effect. Regarding consumer sentiment, the higher the brand strength, the higher the affinity for the country represented by the brand, and vice versa; however, consumers may also choose to boycott a brand with high strength. Consumers may feel angry and engage in boycotts when they feel betrayed by a brand with strong brand strength. However, corporate social contribution reinforces a sense of closeness in the country it presents and contributes toward mitigating the boycott attitude; this is because consumers consider their corporate social contribution as a beneficial activity for their country. Therefore, global companies that expand overseas should not only use their brand strength, but also engage in activities that are beneficial to the country and enhance the familiarity of the consumers of the country to develop a sense of cultural affinity. In addition, this study also has implications for policymakers. Economic sanctions against a specific country not only lower consumers’ affinity, but also leave a negative impact on the global companies with high brand strength. Therefore, policymakers must proceed with caution when they make an economic sanction for a certain country.

Existing studies report that social media influencers’ number of followers is a determinant of their influence. However, not every consumer follows an influencer with a high number of followers. Therefore, differences in individual characteristics should be considered in the effectiveness of influencer marketing. This study draws on the cultural dimensional theory to examine the moderating role of consumers’ cultural values at the individual level in the effects of social media influencers with many followers. The results show that the relationship between social media influencer follower count and brand reputation depends on the cultural values of individual consumers. This study makes certain contributtions to the advancement of research on influencer marketing and cultural values by identifying the different impact of follower account of social media influencers with many influencers.

Last-mile delivery is the quintessential example of a logistics sector that is ripe for innovation, owing to a powerful confluence in the advancement of technologies and consumption models. Compared to the conventional delivery mode, the delivery robot offers countless advantages, including maintaining social distancing, improving health safety, protecting the environment, and reducing shipping costs and delivery times. Considering the high investments associated with developing and introducing delivery robots, a better understanding is needed of the consumers’ perceptions and willingness to guide practitioners on whether it is worth starting/continuing investing in such innovation. For this reason, this study addresses the following research questions: 1) What are the relevant characteristics of robot delivery and how do consumers cognitively and affectively respond to these characteristics? 2) What are the processes that form consumers’ willingness to reuse the delivery robot and spread the word about it (i.e., WOM)? Drawing on the technology-task fit model, the present study provides three interesting theoretical insights in relation to the post-adoption behaviour on delivery robots. In the first part, the findings enrich the literature by revealing that consumers’ evaluation of the perceived fit of using delivery robots are based on a combination of internal, external and conditional factors. This study found that hedonic motivations, perceived anthropomorphism and robotic service quality exhibited a positive influence on perceived task-technology fit. This indicates that, being able to experience a sense of fun or enjoyment when using novel technologies (e.g., robot services) will encourage future behaviour and push individuals to continue exploring the benefits of this innovation. Also, consumers tend to attribute the human-like robots as more capable and reliable as it gives the feeling that they are interacting with a social entity. The findings also value to current scarcity research and demonstrate the positive influence of service quality in matching the performance and functionality of delivery robots. In the second part, the empirical findings confirm the positive influence of perceived task-technology fit on trust and value-in-use in the emerging context of delivery robots. In the last part, this research goes further, revealing the indirect link between perceived task-technology fit and post-adoption behaviour. In line with consumer behaviour literature that suggests the individual will undergo a psychological state (or mental evaluation) in goal-oriented behavior, this research deepens our understanding of the mechanisms involved in this relationship. It reveals that trust and value-in-use acted as the missing links in bridging the associations through which perceived task-technology fit influences service reuse likelihood and positive word-of-mouth.

This research not only determined the preference of fashion brand distribution channels of active Korean and Chinese seniors who became major consumers in the fashion industry, but also analyzed the effect on these preferences and choices of distribution channels depending on personal consumption characteristics and differences between the two groups. Data was collected by a professional survey firm. SPSS 24.0 and AMOS 24.0 were used for empirical analysis, and frequency analysis, multiple response analysis, EFA, reliability analysis, CFA, SEM, and multiple-group comparison analysis were performed. As a result of multiple response analysis, the offline channel was revealed as the preferred fashion distribution channel for active Korean and Chinese seniors; the second most popular was the online channel. The results of multiple-group comparison analysis reveal differences between two groups in seeking emotional consumption via the offline channel; the effect was only evident for active Korean seniors. A difference in seeking emotional consumption via preference for online channel also existed, but only for active Chinese seniors. For these reasons, marketers targeting active Korean seniors will be effective to not only offer brand information by fashion display to let seniors understand the fashion brand, but also to have brand events to form positive emotions toward the fashion brand. Moreover, targeting active Chinese seniors will be necessary to transmit brand sensibility by utilizing metaverse marketing comprising various factors, so that consumers can enjoy the fashion brand.

This study aimed to categorize consumers using super app functional characteristics to identify demographic differences, and analyze shopping orientations by consumer type. This data can be used by fashion and beauty companies for product planning and marketing strategies. To categorize super app consumers, data were analyzed with SPSS v.26.0 software using frequency, factor, reliability K-mean cluster, and distributed analyses, one-way-ANOVAs, and Scheffe verification. Cross-analysis was conducted to correlate super app consumer types with demographic characteristics. One-way-ANOVAs and Scheffe verification were used to analyze the differences in shopping preferences between super app consumer groups. As a result of our analyses, super app consumers were classified into four types: the ration type, the low-use type, the multifunction type, and the habit type. There were statistically significant differences between these types in age, occupation, marital status, average monthly household income, and shopping impact factors. Five super app user shopping orientations were identified: brand pursuit, pleasure pursuit, trend pursuit, risk perception, and economic orientation. The differences in the preferred orientation between super app consumer types were found to be statistically significant. The majority of respondents were multifunction type consumers. This group used the super app most frequently and effectively. They also demonstrated the highest scores for all five of the shopping orientations. The classification of consumer types in this study will allow the fashion and beauty industries to utilize super apps for more targeted product design and marketing.

본 연구는 절화 도·소매업자의 판매 행태, 소비자의 소비 행태와 수입산 절화 및 국내산 절화 인식을 조사하여 국내산 절화 경쟁력 강화를 위한 자료로 제공하고자 수행하였다. 설 문 조사는 도·소매업자 102명을 대상으로 2020년 7월부터 9 월까지 진행하였고, 소비자는 200명을 대상으로 2020년 8월 24일부터 25일까지 진행하였으며, 수집된 자료는 빈도 분석, 대응표본 t-test, 다중반응 교차분석을 실시하였다. 도·소매업 자의 판매 행태 조사 결과, 국내산과 수입산 절화 모두 판매하 고 있는 비율이 높았고 판매 시 국내산 절화의 품질보다 수입 산 절화의 품질이 우수하다고 응답하였다. 소비자의 구매 행 태 조사 결과, 주로 선물 목적으로 구매하며 구매 시 내적 품 질(수명)과 외적 품질(형태, 질감, 색상)을 중요시 여기는 것으 로 나타났다. 또한 소비자는 절화 구입 시 원산지를 확인하지 않는 경우가 많았으나 동일 품종일 경우 국내산을 구매한다고 응답하였다. 도·소매업자와 소비자의 절화 인식을 비교한 결 과, 도·소매업자는 국내산 절화가 평범하고 한정적이며, 수입 산 절화는 독특하다고 인식하였으나, 소비자는 국내산 절화가 독특하지만 수입산 절화와 국내산 절화 모두에 평범하고 한정 적이라고 인식하였다. 이러한 판매자와 소비자간 인식 차이는 실제 국가별 절화 품질에 대한 정량적 연구와 국가별 절화에 대한 인식 조사 필요성을 제기한다.