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Social commerce has brought about a significant transformation in consumer experience due to diverse factors. As a result, users often find themselves prone to impulsive buying behaviour when exposed to such an environment. Prior research was limited to demonstrating the expanding influence of celebrities on social media and the linkage between social engagement and impulse buying context. Furthermore, the impulse buying tendency of consumers on social media in the context of celebrity posts has yet to be validated. This paper aims to assess the influence of consumer awareness, consumer trust and observational learning on the latent state-trait (LST) theory regarding celebrity posts on impulse buying tendencies.

The empirical research builds on a sample survey involving 750 students from the “Big Four” economics universities in Hanoi. The proposed model was analysed using a partial least squares structural equation modelling technique.

The authors find that consumer trust and observational learning from celebrity’ posts positively affect impulse buying tendency. Yet celebrity influence awareness directly impacts trust in celebrity’ posts rather than directly impacting impulse buying tendency. Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

From a theoretical perspective, this expands the applicability of the LST theory in social commerce to promote impulse buying tendencies. Second, this contributes to the literature on the emerging phenomenon of social media celebrities, as existing literature does not clarify their influence on impulse buying behaviour. Third, this research applies the concept of observational learning in online shopping through key features of social media platforms, namely, likes, shares and comments, to investigate their influence on the impulse buying tendency of consumers. Concerning managerial implications, the authors propose practical recommendations for practitioners, particularly those involved or interested in the commercial services industry and social media marketing (namely, celebrities and partner companies).

Although digital content marketing (DCM) research and industry-wide expenditure is growing very rapidly owing to the positive outcomes associated with this new pull marketing strategy, research has not completely mapped how DCM activities can be optimized in the social media brand community context. This paper seeks to understand how social media DCM activities can be optimized to achieve greater relational and monetary outcomes for different products.

A structural equation modeling procedure was used to analyze 416 survey responses obtained from members of Facebook brand communities in South Africa.

The results reveal that social media DCM consumption motives exert significant differential effects on both relational and monetary marketing outcomes in search and experience product contexts while also demonstrating the mechanism through which social media DCM consumption motives lead to contributing social media engagement behaviors.

The study findings call for the need for firms to understand the motives that drive the consumption of DCM in social media brand communities. Specifically, marketers of search products should deploy more of hedonic contents such as images while simultaneously keeping highly textual DCM to a minimum in Facebook brand communities as this works better for experience products. Finally, more authentic SM-DCM activities that effectively address the authenticity SM-DCM consumption motive can result from the DCM activities of social media opinion leaders and genuine consumer–brand interactions in the context of Facebook brand communities.

This paper broke new grounds in three unique directions in terms of: (1) the relative salience of SM-DCM consumption motives in enhancing WTP and different aspects of SMBE; (2) the contextual influence of product type on SM-DCM activities optimization and (3) the mechanisms that underlie the effects of SM-DCM consumption motives on contributing SMBE in the Facebook brand community context.

The purpose of this paper is to conceptualize virtual influencer marketing, outlining the opportunities and dangers associated with using virtual influencers in social media marketing communications.

Drawing on the literature addressing influencer marketing and interactions between consumers and technologies, this paper introduces the landscape of virtual influencer marketing.

This paper distinguishes virtual influencers from real-life influencers and related digital characters. It further defines four unique elements attributed to virtual influencers: customization, flexibility, ownership and automation. Finally, it introduces a taxonomy for virtual influencers.

The conceptualization of virtual influencer marketing contributes to advancing the understanding of the (virtual) influencer marketing landscape.

This paper suggests that brands need to carefully evaluate the different characteristics of virtual influencers, when deciding to leverage them in social media marketing communications. It also provides guidelines for working with virtual influencers in marketing campaigns targeted at consumers.

This paper discusses ethical and social implications for brands and consumers that interact with virtual influencers in the encounter between reality and virtuality.

This paper makes three contributions. First, it conceptualizes virtual influencer marketing by defining and critically evaluating the key characteristics attributed to virtual influencers. Second, it offers a 2 × 2 taxonomy of virtual influencers, grounded in research on anthropomorphism and reality–virtuality. Third, this paper reflects on the opportunities and dangers associated with virtual influencer marketing, outlining avenues for future research.

There is limited research examining the relationship between social media and green food purchasing behaviour. In the current study, we examine the factors that affect consumers’ green food purchasing behaviour in Türkiye.

Data collected from the participants by survey method were analysed using Smart PLS 4.0 with IBM SPSS 26 and PLS to run SEM.

Our findings have revealed that from all the structural elements in the theory of planned behaviour (TPB), only attitude and perceived behavioural control contribute to consumers’ green food purchasing behaviour, while subjective norms do not contribute to consumers’ green food purchasing behaviour. Additionally, it was found that social media usage (SMU) and digital marketing interactions (DMI) have a positive and significant effect on green food purchasing behaviour. More information, experiences, opinions and recommendations on green foods in social media channels can encourage consumers to buy more green food.

This study first evaluates the applicability of the TPB model in explaining green food purchasing behaviour. This study is extended with two new factors included in the original framework of the TPB model, namely, SMU and DMI.

This study aims to examine digital consumer culture and behavior in the community, namely, 180° Movement Digital Training Center (DTC), in Jakarta, Indonesia. It aims to describe the dynamics of digital consumer culture in contemporary society, particularly as experienced by the youth community in Jakarta in the context of socio-technology relations and incorporates it into the diagram of digital consumer culture network.

This research uses a constructivist qualitative approach and socio-technical relation analysis through actor-network theory and digital consumer culture.

The study finds that the individual model of digital consumption is constructed through the process of problematization, interessement, enrollment and mobilization of individuals. It generates a culture in which consumers are constantly up to date with high-intensity information, but within increasingly shorter timeframes, while also considering principles of affordability, needs, desires and satisfaction. The network of digital consumer culture construction among informants is peculiar and unstable.

The study of digital consumer culture within the 180° Movement DTC community highlights how consumer behaviors of its members are facilitated and interconnected within a digital cultural network. However, this research is constrained by the dialectical interplay between Christian principles and the emerging values of consumer culture, a result of the scarcity of theoretical resources and information. This study also provides a specific contribution as a foundation for mapping the volatile digital consumer culture for researchers.

Understanding the socio-technological relationships and consumption behavior of the youth community could help digital platforms tailor their services more effectively. It could also guide the 180° Movement DTC in developing programs that resonate with the youth, bridging the gap between the physical and virtual realms. Ultimately, this could lead to a more engaged and digitally literate society.

This study contributes to a broader societal understanding of how digital technology is shaping consumer behavior and identity within youth communities, which can influence social dynamics and interactions. It provides insights into the potential social impacts of digital technology, such as changes in relationships, communication patterns and self-perception, informing societal discourse on digital culture.

In addition to presenting socio-technological analysis on Indonesian consumer culture using actor-network theory, some also show that studies on digital connectivity ambivalence that concern the relationship between humans as actors and non-humans as actors have become one of the popular sociology studies at present.

The study aims to analyze the effectiveness of digital rhetoric persuasion on GenZ purchase decision. Digital rhetoric (DR) is an art of persuasion used in social media communication to shape and influence the course of an individual. It has been used in social media advertisements (SMAs) to increase its perceived effectiveness. GenZ consumers are more vibrant than previous generations’ consumers because of high levels of literacy and capacity to adapt to new technology. Therefore, understanding the effects of rhetorical support decisions to act on and mold consumers’ reasoning and judgment is particularly significant in relation to GenZ purchasing decisions and the rhetorical persuasive methods. Concurrently, the moderating effect of generation cohort theory also needs to be examined.

The threshold model for consumers’ purchase decisions in the form of logistic regression has been applied to examine the impact of DR through SMAs on the purchase intention (PI) of GenZ consumers. Simultaneously, the moderating effect of generation cohort theory is being examined by comparative analysis of different generations’ PI moderation by DR effect.

The results of the current study reveal that DR via SMAs has a positive and significant influence on GenZ consumers’ PI, whereas other older generation consumers do not get similarly affected by the same.

In an emerging economy like India, where 30% of the population belongs to the GenZ category and the digital advertising industry is growing by double digits, the present study takes a novel approach to examine the impact of DR via SMAs on GenZ consumers’ PI. Concurrently, it also provides an understanding of the moderation effect of generation cohort theory on perceived effectiveness of DR.

This chapter examines how information and communication technology (ICT) initiatives affect customers’ everyday routines with an emphasis on how electronic word of mouth (eWOM) affects their purchasing decisions and determines if eWOM might serve as a useful trust factor when making purchasing decisions. This chapter is based on both primary and secondary data and examines how eWOM affects customers’ buying decisions in this era of increasing social media platform usage. One hundred individuals from various regions of Karachi provided the primary data, collected through an online survey. Secondary data are also employed, such as details from business websites, scientific papers, and other related publications of businesses. In Karachi’s developing digital market, it was discovered that eWOM via social media used to have a substantial impact on consumers’ shopping habits. The effectiveness of social media content depends greatly on how appropriate it is for the intended audience. Social media marketing doesn’t quite simply aim to improve consumers’ impressions or directly advertise things. It also entails maintaining and fostering relationships between businesses and prospective customers. According to the research, consumers’ recommendations and ratings of goods and services made on social media, whether through eWOM or another channel, influenced their decisions to buy. Customers consider social media to be trustworthy when making decisions about what to buy. Customers are currently adopting social media as opposed to more conventional means to learn about new products. Most customers believe that eWOM from social media greatly affected their shopping choices, according to the results of the study.

The present study aims to examine the impact of social media marketing activities (SMMAs) on the adoption of food waste reduction behavior among Generation Z consumers within the restaurant service industry in Pakistan. The study focuses on the impact of social media advertisements and investigates the mediating influence of waste reduction intentions on actual behavior. This underscores the significance of contextual and emotional variables in comprehending consumer behaviors.

The study used a cross-sectional research methodology to examine the impact of SMMAs on the behavior of Generation Z consumers in Pakistan’s food service industry with regard to reducing food waste. A study was conducted to investigate the restaurant purchasing behaviors of a sample consisting of 449 individuals belonging to the millennial generation, often known as Generation Z.

The majority of variables related to SMMA, except for interactivity and personalization, were shown to have a positive impact on individuals’ intents to reduce food waste. The study observed a significant relationship between consumers’ intentions to decrease waste and their actual behavior in waste reduction. Furthermore, this relationship was shown to be influenced by the mediating role of waste reduction intention.

Examining how social media affects Pakistani Generation Z’s efforts to reduce food waste is what makes this study distinctive. According to the research, the majority of social media factors positively influence intentions to reduce waste. The relationship between intentions and actual behavior, which highlights the impact of social media campaigns and emotional aspects in promoting waste reduction, is one of the important conclusions.

The globe has experienced a devastating COVID-19 pandemic, putting the planet under lockdown and causing social alienation. The near collapse of social and economic activities is disrupting the supply chain. Customer-required products were in low supply across the world. A slew of new digital firms springs up to fill the need during this time. This study aims to reach a holistic goal by better understanding customers' digitalisation behaviour. The first step is to review existing consumer digital psychology research to map this study’s current knowledge of the pandemic's early and late phases and the impact of digital businesses on consumer behaviour. Finally, it provides lawmakers with a future agenda for limiting the digital psychology of consumers and enterprises.

This study used the Scopus and Web of Science databases to extract records to follow the preferred reporting items for systematic reviews and meta-analyses statement. The final 57 papers were applied after the screening process. The digital environment, psychological digitalisation and behavioural changes were recognised as three primary classes based on a comprehensive examination of the previous literature. This study identified possible difficulties in earlier literature: the scarcity of collaborative and transdisciplinary research on digital psychology, which various academics have emphasised in the past. On the other hand, these investigations were primarily conducted in the psychological surroundings of technology users.

According to this study, digital psychology has improved significantly during the pandemic and many new digital start-ups have arisen. This study also used digital research to create a framework for a pandemic strategic response plan to help minimise the current COVID-19 pandemic and prepare for future outbreaks.

The study mapped existing literature on digital psychology alterations because of the novel COVID-19 outbreak.

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.