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Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

Recent growth of metaverse adoption has impacted the adoption of nonfungible tokens (NFTs) which is becoming increasingly attractive. Recently, researchers have explored the adoption of NFTs in metaverse platform. However, considering the risk involved in the transaction, the need for trust on NFT transaction arises. Drawing on trust transfer theory, this study aims to fill this gap by investigating the trust transfer process from trust on metaverse platform and online payment. Moreover, the moderating effect of perceived effectiveness of dispute resolution (PEDR) between trust and adoption of NFT transaction in metaverse platform is explored.

This study adopts an empirical approach using a questionnaire survey in India based on simple random sampling technique and is analyzed using structural equation modeling through the Smart PLS software.

The findings reveal that users with a higher trust disposition will trust the metaverse platforms, online payments and NFT transactions in the metaverse. Also, the study reveals that trust transfers from the metaverse platform and online payments toward NFT transactions in the metaverse, which further leads to the adoption intent of NFT. The study provides information for platforms on how the trust transfer process occurs and how to manage conflict resolution to attract the trust of users to use NFTs in their transaction.

The study makes a valuable contribution by identifying the significant impact of trust disposition and social influence in explaining user trust in NFT transactions within the metaverse. Also, the study explores how established trust in conventional online payment mechanisms translates and contributes to trust-building on NFTs and transactional contexts within virtual worlds.

This study implies that ensuring robust security measures for NFT transactions, such as two-factor authentication, blockchain verification and secure wallets, can reassure users with different levels of trust disposition.

Metaverse platforms should focus on educating users about how trust operates within their environment by providing tutorials, FAQs and support channels to help users navigate the process confidently. Highlighting security measures, user rights and privacy protections can enhance trust toward NFT payment.

To the best of the authors’ knowledge, this study contributes to research as it is the first of its kind study to explore the factors affecting adoption intent of NFTs transaction in metaverse platform using trust transfer theory. Thereby, developing substantial theoretical and practical contributions by considering an emerging technology.

This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to enhance transparency and trust in tracking food sources, ultimately impacting customer satisfaction.

A service design workshop (Study 1) and three between-subjects experiments (Studies 2–4) were conducted.

Results indicate that blockchain adoption significantly improves traceability and trust in the food supply chain. This improvement in turn enhances customer satisfaction through perceived improvements in food safety, quality and naturalness. This study also notes that the effects of blockchain technology vary depending on the type of restaurant (casual or fine dining) and its location (tourist destinations or residential areas).

The findings offer practical insights for restaurant owners, technology developers and policymakers. Emphasizing the benefits of blockchain adoption, this study guides decision-making regarding technology investments for enhancing customer service and satisfaction in the hospitality sector.

This research contributes novel insights to the field of technology innovation in the hospitality industry. It extends the understanding of signaling theory by exploring how blockchain technology can serve as a tool for signal transmission in restaurant food supply chains.

This chapter delves into sustainability-related competences in innovation management for further education as part of the European lifelong learning initiative. Despite extensive research in primary and secondary education, adult education often remains overlooked. Competence-based learning is a favored approach to integrating knowledge, skills, and attitudes across various domains. Through thematic analysis and deductive coding, the study examines 72 innovation management-related further education programs conducted in Baden-Württemberg, Germany, between June and December 2022. The findings unequivocally demonstrate the inclusion of sustainability competences in innovation-related further education. Notably, Strategic Competence emerges as the most prevalent, while Normative Competence appears least frequently. This research significantly advances the convergence of further education in innovation management, responsible management education, and competence-based learning, emphasizing the importance of sustainability competences in adult learning contexts. By shedding light on this underexplored domain, the study prompts further exploration and development of sustainable educational practices for lifelong learning.

This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team processes and emergent states.

The authors collected survey data from 315 individuals working in virtual teams (VTs) in the information technology sector in India using both offline and online questionnaires. They performed the analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team performance, team satisfaction and subjective well-being.

The interplay between the behavioural team process (conflict management) and the emergent state (psychological empowerment) was examined. The study also helps broaden our understanding of the various psychological variables associated with teamwork in the context of VTs.

Findings from this study will aid in assessing the consequences of virtual teamwork at both individual and organisational levels, such as guiding the design and sustainability of VT arrangements, achieving higher productivity in VTs, and designing effective and interactive solutions in the virtual space.

The study examined the interplay between behavioural team processes (such as conflict management) and emergent states (such as psychological empowerment). The study also theorises and empirically tests the relationships between perceived virtuality and team outcomes (i.e. both affective and effectiveness). It may serve as a guide to understanding team dynamics in VTs better.

This exploratory study attempts to enhance the current understanding of the research and practice of VTs within a developing economy.

People frequently experience a conflict between immediate pleasure and long-term health when consuming healthy food. This study investigates how anthropomorphizing healthy food influences consumers’ sense of pleasure and their subsequent food preferences.

Using different samples and food items, the authors conducted five online or laboratory studies to provide empirical support for the research hypothesis, rule out potential alternative explanations, and demonstrate boundary conditions.

By conducting five empirical studies involving self-reported and actual eating preferences, this study found that anthropomorphism increases consumer preference for and actual intake of healthy food. Such an anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism. However, this positive effect is suppressed for consumers who experience low trust in their affective feelings. Additionally, the effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

This study contributes to the literature on healthy consumption, anthropomorphism, and mood, revealing whether and how food anthropomorphism affects consumers. For marketers in the field of healthy food and relevant policymakers, anthropomorphic means can be employed, such as giving products human names, to enhance consumer preference for them. Moreover, anthropomorphizing can help alleviate consumers’ concerns about the relative lack of pleasurable taste in healthy foods and compensate for the lack of hedonic value that consumers may feel, thereby enhancing consumer welfare.

1. Anthropomorphism increases consumer preference for healthy food and actual intake of it.

2. The anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism, through which affective feelings offer evaluative and decisional informativeness for judgments and decision-making.

3. The positive effect of anthropomorphism is suppressed for consumers who experience low trust in their affective feelings.

4. The anthropomorphism effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

Anthropomorphism increases consumer preference for healthy food and actual intake of it.

The anthropomorphism effect is driven by the increased positive affect evoked by anthropomorphism, through which affective feelings offer evaluative and decisional informativeness for judgments and decision-making.

The positive effect of anthropomorphism is suppressed for consumers who experience low trust in their affective feelings.

The anthropomorphism effect is weakened when consumers readily attribute their affective feelings to a target-irrelevant source.

The study utilises unique survey data gathered from 12,427 party members. The dependent variable measures party members’ in-party commitment and is based on willingness to donate money, to contribute effort, the feeling of belonging in the party network and social trust in the party network.

In this article, we study how different extra-parliamentary online and offline activities are associated with in-party commitment amongst political party members from the six largest Finnish parties. We especially delve into the differences between members of the Finnish parties.

We found that extra-parliamentary political activity, including connective action through social media networks and collective action through civic organisations, is highly associated with members’ in-party commitment. Additionally, members of the newer identity parties more effectively utilised social media networks, whilst the traditional interest parties were still more linked to traditional forms of extra-parliamentary political action.

By employing the sociological network theory perspective, the study contributes to ongoing discussions surrounding the impact of social media on political participation amongst party members, both within and beyond the confines of political parties.

This chapter first reviews the current stages of retail CBDC development before examining some of the common characteristics of retail CBDC projects being proposed in various jurisdictions. This chapter then examines the possible future of retail CBDC going forward.

Social commerce (s-commerce) offers community-based platforms that facilitate customer-to-customer interactions and the development of customers' social shopping-based experience. While prior research has addressed the role of customer engagement (CE) in boosting s-commerce-based sales and performance, insight into the effect of s-commerce attributes on CE remains tenuous. Addressing this gap, this study examines the role of specific s-commerce attributes (i.e. community, collaboration, interactivity and social dynamics) on CE, which is, in turn, proposed to impact customers' repurchase- and electronic word of mouth (eWOM) intention.

A web-based survey was deployed to target users of a popular s-commerce platform, Etsy.com. Partial least squares structural equation modeling (PLS-SEM) was, then, used to analyze the survey data collected from 390 users.

The results reveal that the four examined attributes positively affect CE. The findings also demonstrate CE's positive effect on customers' repurchase- and eWOM intention.

Though CE has been identified as a key s-commerce performance indicator, little remains known about the role of specific s-commerce attributes in driving CE, as, therefore, explored in this research. Specifically, the authors examine the role of s-commerce-based community, collaboration, interactivity and social dynamics on CE. Their analyses also corroborate that CE, in turn, drives customers' post-purchase (i.e. repurchase/eWOM) intention. Managerially, our findings can be used to develop more engaging s-commerce platforms.