The paper examines how omnichannel communication of sustainability of luxury fashion brands enhance consumer brand engagement. We propose a multiple case study of four Italian high-end fashion brands. The study advances the literature on sustainable luxury fashion and omnichannel communication and offers guidelines for managers to effectively communicate sustainability.

The metaverse has become a trendy topic for both academics and practitioners in recent years. While the metaverse is still in a developmental stage, it is anticipated that it will bring significant changes to the existing paradigm in marketing, information system, psychology and many other disciplines (Dwivedi et al., 2022)

Digital technologies that travel between the real and virtual worlds are rapidly adopted by many fashion brands for building virtual fashion spaces. This study aims to investigate the consumer experience of the components of the virtual fashion show and their effect on virtual fashion space, perceived benefits, perceived risk, and behavioral intention in the immersive fashion virtual space. The stimulus for this study was selected as the Prada virtual reality (VR) fashion show which is one of the most active in the VR field. The influence of perceived virtual fashion space and the moderating effect of VR sickness and fashion innovativeness are discussed. This study provides implications about consumer perception and behavior using VR in the context of virtual fashion space for researchers and practitioners.

Factory outlet stores represent an integral part of a dual distribution channel strategy, in which products are sold through two different channels: (1) factory outlets and (2) traditional store formats. However, there are potential risks, including cannibalization and brand dilution. Our research considers perceived quality of the item from each channel. Through two experimental studies, our findings suggest that without any pricing information, consumers spontaneously assign products from outlet channels to be of lower subjective quality than those from the traditional channel. However, when both products in each channel are discounted, then this reduction in quality perception is attenuated, following the belief in the price-quality relationship.

The purpose of this research is to examine the impact of firms’ repeated use of crowdfunding on consumer responses and the funding success, focusing on compensatory crowdfunding that provides products and services when funding is successful. The result indicates that the number of crowdfunding round and achievement rates are related to parabolic forms. These results suggest that investors can recognize the number of crowdfunding round as a important signal for crowdfunding investment. In addition, this research aims to present practical implications for crowdfunding firms and platforms to attract ongoing investments.

This study focuses on resale behavior in online consumer-to-consumer market platforms and examines the factors that promote and hinder the resale behavior of sellers. The evidence from the experiment suggests the negative effect of emotional attachment on resale intention and the moderating effect of resale possibilities.

Plastic pollution is one of the biggest environmental problems in the world. In modern society, the consumption of single-use plastics in the food service industry has increased along with the increase in food-away-from-home. The COVID-19 pandemic has attacked the consumption of single-use plastic in the restaurant industry. During the COVID-19 pandemic, especially the US has retracted the related laws and policies regarding using single-use plastic for fast food and carry-out food, and customers have increased their use of single-use plastic for fast food and carry-out food due to worries about hygiene. Even though sustainability has been a novel topic in hospitality literature, a majority of studies have focused on the consumers’ perception, attitude, or behavioral willingness toward sustainability. To fill this gap in research, finding an effective way to influence consumers’ behavioral change becomes important and necessary.

This study investigated the conditions under which consumer participatory corporate social responsibility (CSR) campaigns could be effective and focused on power as the key variable. Specifically, based on motivational intensity theory, the interaction effect between participation effort and power was examined on CSR attitude and participation intention. In addition, this study tested the mediated moderating effect of power through self-efficacy in order to examine the mechanism behind the interaction effect. Results of two experimental studies (Study 1 and Study 2) showed a significant the interaction effect of participation effort and power on participation intention. When the consumer's power was low, participation intention was lower for those in the high effort condition compared to those in the low effort condition. On the other hand, when power was high, there was no difference in participation intention according to the level of participation effort. This study has significance in that it reaffirms and furthermore expands the existing academic results and presents practical implications.

Sustainability rears its head in the current online marketing and virtual store -research. Sustainability considerations involve pro-environmental-, social- and economic values as well as future generations and continuous innovation (Hanss and Böhm, 2012). Central in the sustainability research is sustainable consumer behavior, which has been found to be subject of intensions varying across different types of consumers, issues, and product categories (O’Rourke and Ringer, 2016). Determining consumers’ general egoistic, altruistic and biospheric values (e.g., De Groot and Steg 2008; Steg et al., 2014) have resulted quite complex and not always so generalizable structural models for sustainable behavior. While value -research has been dominant in determining the sustainability intensions and eventual behavior, there are relatively little solid theories and understating about different psychological processes behind sustainable behavior. Furthermore, the consideration of multiple sustainable consumer behavior outcomes seems to be limited, which can also hamper the development of models and theories (see e.g., Hulland and Houston 2021).

This study analyzed the presence and effect of sexual appeal of plus-size models using Victoria's Secret's Instagram content. A content analysis using roBERTa deep-learning model found that, plus-size models’ sexual appeals increased number of likes and comments, but explicit sexual appeals resulted in less positive sentiments than thin models’.

An increasing number of companies are using service robots, such as physical robots and virtual chatbots, to interact with their customers. Service robots are autonomous agents with the purpose of providing services to customers by performing a variety of physical and nonphysical tasks (Joerling et al., 2019). Conceptual work has suggested that social robots will increasingly be used in the front line of service encounters (Gonzalez-Jimenez, 2018; Van Doorn et al., 2017). Real examples of the inclusion of these robots in retail settings already exist. For instance, some retailers use Softbank´s robot Pepper to greet and inform customers. Social robots such as Pepper can use their sensors and cameras to interpret customer reactions and adapt accordingly. Moreover, the robot can even make product recommendations based on the assessed customer´s mood, age, gender and, if available, purchase history (McKenna, 2018). Not surprisingly, there is a vast market potential associated with these robots, which is expected to grow to 87 billion by 2025 (BCG, 2017).

With the popularity of live streaming commerce, the characteristics of streamers and products subtly influence consumer behavior through visual live streaming form. Based on dual-process theory, this paper develops a comprehensive theoretical model to examine how consumer perceived streamer characteristics and product characteristics influence streamer attractiveness and product attractiveness, and explore how consumer behavior inertia is affected by streamer attractiveness and product attractiveness. An online survey consisting of 300 participants was recruited to empirically examine the proposed research model. The results indicated that consumer perceived streamer characteristics and product characteristics are important factors affecting the streamer attractiveness and product attractiveness, which in turn positively affect consumer’s shopping experience memory, which further influence consumer behavior inertia. In addition, the moderating effects of mindfulness are also examined.

Integrating both the Computers-Are-Social-Actors Theory and Social Exchange Theory, this study investigates human-robot interactions in a frontline service setting. Data was collected via an intercept survey of 282 Gen Z visitors at a polytechnic library in Singapore. The data was analyzed using structural equation modelling with partial least squares. The results demonstrate the significant positive effects of robot anthropomorphism attributes, namely perceived warmth, perceived coolness, appearance, social capability, and personalized service on perceived trust as well as the significant positive effects of perceived coolness and social capability on positive emotion. Both trust and emotion affected consumer co-creation while only emotion impacted consumer wellbeing. The results add to the service robot literature and offer practical guidance for service managers to leverage trust in designing and personalizing inclusive service experiences for successful human-robot interactions.

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.

Drinking spaces such as bars, taverns, inns, cantinas, bierkellers, offer important social community spaces. Within the UK, a Pub, short for Public House is “a place, especially in Great Britain or Ireland, where alcoholic drinks can be bought and drunk and where food is often available” (Cambridge Dictionary, 2022) and is one of the most common and traditional drinking spaces. Sadly we are losing pubs at an alarming rate, due, over the last 20 years to many factors including government interventions (changes in the structure of the industry), increased competition from other leisure activities and high levels of beer duty/tax (BBPA, 2018) and more recent factors such as struggles to fill vacancies, Brexit and covid (Wells and Waehning, 2022). Now, more than ever, we need to understand consumer behaviour related to pubs and to understand how consumers choose pubs and what features of pubs are important to them.

Marine industry generates tons of waste, which is usually discarded or used for production of fish feed and low-value silage. However, marine residual raw materials (e.g., skins, heads, liver, and roe after fish gutting and processing) contain lipids rich in omega-3 fatty acid, which has several beneficial physiological effects such as maintenance of normal cardiac function, normal brain function, and normal vision. Food fortification with omega-3 fatty acid derived from marine residual raw materials can therefore provide health benefits and contribute to a circular food system. The current research explores consumer acceptance of the food fortified with microencapsulated fish oil derived from marine residual raw materials. Consumers may be hesitant to try these products due to food neophobia associated with tendency to eat foods with familiar ingredients. The idea of ingredients from normally discarded food parts may seem disturbing. However, there is a growing concern about low utilization of bioresources. Thus, conflicting goals may be in place and there is a need for research on motivations and barriers for consumption of this type of food. To address this, focus group interviews were conducted with 42 Norwegian consumers (7 groups, 4-7 participants each). The sample represented different age groups (20-55 years), genders, educational backgrounds, and income levels. Each participant received a compensation of ca. USD 30. The focus groups discussed food habits, attitude towards the fortified food and utilizing residual raw materials, and reasons for intake/no intake of such food. The interviews were transcribed and analyzed using the constant comparative method. The results indicate that the informants have limited experience with fortified food. However, they demonstrate positive attitude towards the foods fortified with microencapsulated fish oil and appreciate the utilization of residual raw materials. Health benefits are one of the important motivations. Still, the informants are concerned about the fishy taste, as the flavor is also quite crucial. Another barrier is an expected high price for such food. Adding fish oil may also be a problem for vegetarians and consumers with allergies. Thus, transparent information about the food ingredients is essential. The results also highlight the importance of food’s sensory characteristics. The current study advances understanding of the consumer acceptance of the food with residual raw materials (so far under investigated in the literature), and thus provides a basis for finding an efficient strategy for communicating its benefits to consumers. It also provides societal health benefits and positive environmental effects due to the increased intake of omega-3 and better utilization of unused bioresources.

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.

This study takes the perspective of a brand introducing its own second-hand products to the re-commerce market. The project finds that consumers are more willing to forgive a transgressing second-hand product compared to a new product, which leads to lower negative word-of-mouth. The relationship is mediated by the underdog effect.

Considering the popularity of virtual influencer (VI) marketing while its effectiveness remains fully unexplored, there is a need of academic attention testing consumer responses to VIs in comparison with human influencer marketing. Hence, this study aims to fill this gap by comparing consumers’ perceptions of a human versus virtual influencer’s endorsement. Specifically, based on the construal level theory and psychological reactance, this study investigates how consumers differently evaluate human and virtual influencers’ endorsement motives, which may further influence their attitudes toward a brand, advertising (i.e., endorsement), and an influencer and purchase intentions. Additionally, the moderating role of the number of endorsements (single vs. multiple) and perceived innovativeness are examined.

With the development of WEB 3.0 and the metaverse, the emergence of chat GPT, and AI is attracting attention across all industries. AI technologies such as robotics, advanced analytics, and in-store applications created a sensation in the fashion industry, as well as created an exceptional customer experience. In this study, fashion AI types (e.g. AI models: generative, conversational, AI applications: design, production, sales, retail, marketing) and case analysis (e.g. concepts, characteristics, benefits, risks) are examined. Consumer experiences with fashion AI are also discussed for future research directions. Finally, the Fashion AI research framework and research agenda are discussed for future research.