This research investigated the effects of para-social interaction (PSI) in online and traditional celebrity endorsements. The data was collected by distributing questionnaire sets. And covariance structural equation modeling was used to analyze the model. The findings showed that para-social interaction is the moderator variable in the online celebrity endorsement effect.

The rise of social media has led to SMEs adopting some of these platforms into their day to day activities i.e. Facebook, Instagram, twitter, YouTube. Studies on social media adoption and SMEs firm performance are relatively new and fragmented in their focus, however there is an increasing interest from academia and practitioners for further research and investigation within this area. This study’s aim is to understand the factors that influence social media adoption in SMEs; taking into consideration how they apply entrepreneurial orientation, and absorptive capacity plays a role.

Social media has become popular in both business and research as many studies have explored the impact of this medium on the purchase behavior of consumers but surprisingly not in the domain of counterfeiting. Social media has become a significant part of today's lifestyle and it has created new channels for brand manufacturers and consumers to communicate. The present study tries to assess the impact of social media determinants on counterfeit purchase intention. The study explored three factors of social media namely social media platform, user-generated content, and social media word of mouth. Further, the study checks for the mediation effect of consumer attitude between social media determinants and purchase intention. The data for the present study were collected from three metropolitan cities of India namely Delhi, Kolkata, and Mumbai. The PLS-SEM was used on 406 respondents for further analysis and validation. The results revealed that there is a significant relationship between social media platforms, user-generated content, and purchase intention. However, an insignificant relationship was found between social media word of mouth and purchase intention. Further, the study suggested that attitude mediates the relationship between social media determinants and the purchase intention of consumers towards the purchase of counterfeit products in India.

In order to communicate brand concepts and values to the young generations, many brands are highly active on social media platforms such as Twitter, Facebook, and Instagram. Brand-Generated Content has already become the most common marketing strategy for fashion brands and plays a significant role in influencing consumers’ purchase intention. With increased competition on social media platforms, companies need to understand which posting features can bring in more consumer engagements such as number of likes and comments on social media platforms. In this paper, we develop (1) a model to predict the number of likes and (2) a methodology to detect anomaly of posts that have unusually high percentage of negative user comments based on Instagram design variables, including semantic text meanings, facial expressions, color scheme and background of photos, and post timing, among others. We collected a data set of brand-generated Instagram posts from ten fashion brands. The data covers the image, text, and user comments posted between 2019 and 2020. Image features were extracted using Convolutional Neural Network, and text topics were generated through Latent Dirichlet Allocation. Our results will help managers design Instagram posts to increase consumer engagement and to reduce negative consumer reactions.

Firms are increasingly using social media influencers to promote their products. We develop a two-period model to investigate a firm’s strategy for introducing a product via an influencer, where there is uncertainty in the influencer-product match. In the second period, the influencer exerts an effort to promote the product to her followers, who can spread the product information to non-followers via word-of-mouth (WOM). In the second period, the firm sells to the non-followers. We show that the firm’s pricing, production, and commission contract decisions depend on the influencer’s incentive-independent excess payoff from the promotion and on the difference between the WOM effect of followers who do or do not make a purchase rather than the WOM effect of each group. As the influencer’s incentive-independent payoff increase, the firm will increase (decrease) commissison rate and commission rate when the followers’ sensitivity to product price is relatively low (high) compared with that to the influencer’s effort. As the marginal WOM benefit of the first-period sales increases, the firm tends to reduce his unit net profit from sales. The influencer with a medium-sized follower base receives the highest commission rate and exerts the largest promotion effort. While the followers of influencers with a medium-sized follower base may pay the highest price. We also show that (i) there exists a threshold for the probability of match, above which the firm faces zero demand in the first period if an influencer-product mismatch occurs; and (ii) the firm may charge followers a lower price than non-followers, even though followers are less sensitive to price than non-followers. Finally, regarding influencer selection, we find that the firm may not be better off employing an influencer with a larger follower base.

The original third places concept conveyed the offering of much-needed settings for social comfort, thereby complementing the absence of equal opportunities at home (1st place) or in the workplace (2nd place). 3rd place is a crucial term to connect customers’ social needs, perception of service encounters, and the service provider’s managerial operation. Following the Covid-19 outbreak, various distancing forces have impeded previously intense social interactions featuring human-human contact. The increased use of contactless services and social distancing measures has impacted these. Such measurements refer to mandatory actions to maintain a fixed physical distance from others (i.e., two meters or six feet) via seating arrangements or suggested signage. While such compliance practices successfully limited the spread of Covid-19, they were also a signal of regulated behaviors and acceptable personal boundaries. The current study addressed this question by conducting experiments in three scenarios: a café, restaurant, and sports stadium. Following Pine and Gilmore’s experience typology, the three represent a passive absorptive experience, an active absorptive experience, and an immersive experience.

Since time immemorial company’s interaction with its customers plays a vital role in co-creation of values and shared lifestyle. Similarly, for Japanese department stores passing through the declining stage of the life cycle, strategy based on maintaining relationships is important for renovating their business models. This study examines the importance of “Retail Brand Community” for Japanese department stores, considering from the perspective of Brand community and Social Identity Theory.

The popularity of live streaming is driving the emergence of a new business model, known as live-streaming commerce (LSC). Consumers spend more and more time on smartphones, and the emerging business model of live-streaming commerce (LSC) is flourishing in the retail industry. With highly interactive features, LSC social interactions influence viewer purchase behaviors. To examine the interactions between influencers and viewers, we collected a rich dataset from a leading LSC service platform and integrated research models from the natural language process (NLP) field and econometric models.

This paper examines the intersection between alternative social movements and corporate actors, focusing on the shared practices and potential overlap between these spheres. By analyzing the case of the Burning Man community and its globally recognized brand, this study explores three key research questions: the elements of a brand and its application in the context of counter-cultural social movements, the role of radical social movement members in brand co-creation, and how brand management can support co-creation within counter-culture social movements. Grounded in social movement literature and theories of brand management, this conceptual paper draws from the Burning Man Journal publications to investigate the relationship between branding and the Burning Man community. Burning Man, a participatory culture and annual event held in Black Rock City, Nevada, represents a unique case of a counter-cultural social movement. The paper challenges the notion that a brand is solely represented by a logo, highlighting the duality of brand identity and brand image. Burning Man's perspective on branding aligns with the concept of co-created brands, emphasizing the dynamic and iterative nature of brand identity.

Consumers have a strong desire to share their accomplishments on social media. They post about getting a promotion, completing an online course, finishing a marathon, or donating to charity. Companies also nudge consumers to make such posts. Understanding better people's beliefs about sharing achievement-related information with others is important.

Technologies such as Artificial Intelligence (AI) or Robotics are emerging as a new way of improving 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 been seen, registering a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). This demonstrates that these technologies have a huge potential to grow, being relevant to deeply study them. Since very few of the existing studies highlight the robot-human interactions, further studies on 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 needed (Loureiro et al., 2021). To address the existing gaps and consider Susan Fournier’s (1998) study on customer-brand relationships, the main goal of this study is to find support for this researcher by associating customer-brand relationship studies with a customer-robot relationship. It also aims to understand individuals’ attitudes towards different types of social robots and the relationship process between social robots and humans, in the hospitality industry, and the influence of identification in the creation of attachment, connection, and commitment. The possible contributions of the customer-robot emotional relationship on customers’ feelings of wellness were also studied.

While companies and brands have always collected and used customer data for multiple purposes, the advent of smart devices, Internet of Things (IoT), and big data has made it much easier to access and utilize consumers’ personal information. For consumers, however, such ease of access to their personal data and frequent cases of data breach have increased their concerns about data privacy (Harris & Associates, 1996; Milne et al., 2004). Nevertheless, consumers continue to share their personal information with companies and brands in the digital environment (Turow et al., 2015).

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.

As the demand for luxury brands faces uprising trends in popularity, marketing strategies strive to fully encompass the shifting tides of the market. Especially, high-end customers, hereby VIPs, are heavily nurtured based on their high-spending nature. With the understanding of VIP sales behavior based on social comparison and the adequate use of VIP marketing programs, luxury brands can optimize their sales of luxury brands. However, scant research examines the simultaneous impact of social comparison and VIP marketing in the luxury industry.

This research demonstrates that consumers with high (vs. low) usage of social networking sites (SNSs) prefer NFTs representing a partial but the only digital piece (vs. one of the limited digital copies) of artwork. NFT uniqueness is identified as the psychological mechanism underlying the SNS usage effect on NFT preference.

Social marketing is a discipline promoting voluntary behaviour change in target audience to effect societal and individual benefits by applying commercial marketing strategies. Considering the UNFCCC mechanisms are established to foster voluntary cooperation of parties of the Paris Agreement (2015) in achieving their emission reduction targets and adaptation goals, potential for social marketing playing a critical role in contributing to the context seems endless. The Climate Technology Center and Network (CTCN), established in 2013, is an operational arm of the Technology Mechanism (TM) introduced by the Conference of the Parties (COP) under the United Nations Framework Convention on Climate Change. With the purpose of pursuing impactful mitigation and adaptation technology transfer based on global cooperation ontology, the CTCN supports technical assistance (TA) to developing countries on climate technology issues. Nevertheless, the participation rate of the domestic members in the CTCN TA project is low at 7 per cent. With this regard, little has known about what government support would benefit the Network members most, therefore, contributing to the global climate change issue. This research aims to respond to these calls. Three sequential studies outlining 4P strategy development were conducted. Study 1 conducted an online survey to identify pricing factors influencing participation of climate technology transfer business (RQ1). Study 2 tested four different types of government support program that will is most likely to encourage the Network member’s CTCN TA participation (RQ2). Study 3 pilot tested the most appropriate government support program, including a new communication strategy (RQ3). This research has taken climate technology experts’ perspectives in order to enhance the participation of 81 Korean Network members in climate technology projects. This paper contributes to applying the social marketing approach in expanding climate technology assistants globally, thereby purposefully bringing new theoretical and practical insights affecting the mitigation of carbon emissions and increasing the adaptation to climate-related disasters in developing countries.

A new high-tech product - lab grown meat (LGM), has been gaining media attention while initiating public discourse on social media (SM) platforms. This netnographic study is based on a dataset of selected SM public posts, comments and discussions collected during 30 days in early 2023. The findings indicate that LGM is highly contradictory, while not being fully understood how it is produced or when it will become commercially available. The findings indicate that this novel food requires carefully designed marketing strategies: when naming a new product category; must allow transparency and sensibly explain all product’s attributes; and invest time and efforts to educate consumers, leading to higher adoption rates when launched on mass consumer markets, as an alternative to conventionally grown foods.

Fear of missing out (FoMO) is an emotional, psychological, intellectual, and physical feeling of deprivation or exclusion from an event. This paper aims at finding key factors and sub-factors responsible for FoMO among social media users. The survey data for conducting factor analyses and structural equation modeling (SEM) was collected from heavy and moderate users of social media. It analysed the role of gratification, popularity, and acceptance in social media users in the FoMO phenomenon. The factor analyses gave the final construct impacting FoMO. The study highlighted the agenda for future researchers in the given domain.

A new type of food created in laboratories – lab grown meat (LGM) is an alternative to traditional animal farming and attracting attention of media, industry experts and consumers. Why is this new product so controversial? It is claimed that cell-based meat production is more environmentally friendly, ethical and sustainable than traditional methods that involve animals. Hence, being less harmful and potentially slowing down environmental degradation that leads to climate change. However, consumers have concerns regarding product quality, sourcing of cells used for production and use of growth serums. So many differing views are present, even before LGM is introduced as a marketable product. This paper examines what drives public discourse regarding how this new industry can be regulated, technology and how social media posts, fake news and publicly available rhetoric address consumer concerns and consumer acceptance regarding this new food category.

Understanding consumers’ prioritization of corporate social responsibility initiatives within the global marketplace is a crucial concern for marketers. Focusing on the ethical fashion industry, which supports artisans and utilizes environmentally sustainable resources within its supply chain, the study uncovers that consumers possessing a global (local) identity exhibit more favorable responses to global (local) CSR initiatives, and the matching effect is amplified when presented with high (low) construal level messages.