International Journal of Consumer Studies最新文献

Feedback mechanisms, such as customer reviews and ratings, are essential for making informed decisions on online platforms, particularly in the presence of asymmetric information. However, the practice of reward-based reviews is on the rise in online platforms, where sellers incentivise buyers to give biased feedback (e.g., 5-star ratings) regardless of the quality of the products. This study intends to determine whether financial incentives motivate people to award dishonest ratings and explore the moral heuristics underlying this motivation. Using a hypothetical purchase scenario, responses were elicited from 411 participants and the Philosophical Moral Framework Measure (PMFM) was used to identify the moral frameworks that underlie the reported self-interested behaviour. The findings reveal that the likelihood of giving fake reviews increases with an increase in financial incentives. The dominant moral framework of those who accepted the cashback offer is utilitarianism and egoism, whereas those who declined the offer primarily have deontology and virtue theory as dominant frameworks. The results also indicate that men and young individuals are more likely to give dishonest feedback. These findings not only advance the understanding of the interplay between financial incentives and self-interested behaviour but also aid in identifying the moral frameworks underlying self-interested behaviour.

Across two experimental studies, this research puts forward the concept of avatars' self-representation and regulatory message framing to discover psychological involvement and masstige value in retail and tourism platforms, demonstrating how avatar self-representation and message framing can potentially indicate Metaverse psychological involvement in the Metaverse. The proteus effect was applied to study avatar falsity. The promotion/prevention regulatory focus theory was employed to examine the effect of message framing in hypothetical retail and tourism platforms in Study 1 (n = 846). Further determinants of masstige value were captured using the masstige theory. In parallel with Study 1, Study 2 (n = 817) adopted real-world examples of the Metaverse—Gucci Vault Plaza (Retail) and Baidu Xi Rang (Tourism) to equally examine the effect of users' psychological involvement on Metaverse involvement via masstige value. Respondents were allocated to either a self-promotion or self-verification avatar condition. The results demonstrated significant downstream effects of these specific self-promotion and self-verification categories, thereby contributing to an important conceptual subdimension in the measurement and understanding of online self-perception within the context of avatars. When participants imagined using a self-verification avatar in the prevention-focused message condition, significant effects were observed. Further, a Metaverse platform is a critical factor that affects masstige. Exploring the masstige value at the Metaverse demonstrates the relationship between self-enhancement and masstige desire for luxury that underscores Metaverse involvement. The research presented a critical insight into the carryover effects of self-representation of avatars that can establish a new form of meta-interaction. This research provides insights into technology in virtual retail and tourism Metaverse applications to provide users with more psychologically authentic solutions within the Metaverse.

Creating shared value (CSV) literature has heralded enterprises generating economic benefit while simultaneously adding value to society. Existing research predominantly employs the case study method to show that enterprises adopting CSV strategies have achieved commercial success. However, empirical investigations are still rarely undertaken to examine the effect of CSV on consumers. This study argues that a shared value proposition generates consumer engagement (CE) and fosters in customers a sense of brand community. To this end, a moderated mediation model is constructed to delineate the relationship between shared value proposition, sense of brand community, and brand engagement. The empirical results show that a shared value proposition has a positive impact on brand engagement, which is fully mediated by consumers' sense of brand community. The study also discovered that consumers' self-construal does not moderate the relationship between shared value proposition and sense of brand community. We hope our study and the evidence it provides help to shed more lights on the understanding and impact of CSV and to support the application of CSV strategy in enterprise.

The quality and choices of food contribute significantly to human well-being and support the development of healthy communities worldwide. Despite being the world's largest vegetarian nation, India predominantly follows lacto-vegetarianism, allowing dairy consumption and creating a distinct dietary landscape shaped by influences from religious, social, and cultural beliefs. This complexity, where dairy and cultural-religious factors play pivotal roles, makes India a compelling and unique case for understanding the intricacies of adopting vegan dietary preferences. In the present study, an integrated model derived from the health belief model (HBM), the value attitude behavior (VAB) model, and social stigma was adopted as the theoretical framework. The study analyses the interactive effect of perceived benefits, barriers, environmental beliefs, health beliefs, and anti-speciesism values, with the novel inclusion of social stigma as an independent variable affecting attitudes and intentions toward adopting a vegan diet. To achieve its objective, the study employed a quantitative methodology, recording consumers' responses through a structured questionnaire. The analysis encompassed 504 valid responses from Indian consumers from diverse backgrounds and varied locations. The result unveiled several noteworthy and unique trends. It was found that perceived benefits had a positive impact, while perceived barriers had a negative impact on the health beliefs associated with a vegan diet. Environmental beliefs, health beliefs, and anti-speciesism values exhibited a positive influence on individuals' attitudes toward adopting a vegan diet. Conversely, social stigma had a negative impact on attitudes toward a vegan diet. Attitude emerged as a pivotal mediator, connecting the social stigma to the vegan diet adoption behavior. The findings of the study offer valuable insights for policymakers, manufacturers, and marketers seeking to encourage the adoption of vegan diets in countries with predominantly vegetarian populations. Additionally, the study puts forth actionable strategies, outlined as implications to promote the widespread adoption of the vegan diet.

Effective online consumer research helps companies on defining a successful strategy to increase user loyalty and shape brand engagement. Digital innovation introduced a dramatic change in businesses, particularly in the online news industry. Content consumers have a wide offer across different channels which increase the digital challenge for online news media companies to retain their readers and convert them into online subscribers. Furthermore, digital news publishers often strive to balance revenue sources in online business models. Thus, this study fills a gap in the literature on media consumer research by proposing a data-driven approach that combines two machine learning (ML) models to allow managers dynamically improve their marketing and editorial strategies. Firstly, the authors present an online user profiling to identify consumer segments based on the interplay between several engagement’ variables substantiated in the literature research. Second, as few studies have explored the factors influencing users' intention to pay for such services, the eXtreme Gradient Boosting ML algorithm identifies the predictors of consumer's willingness to pay. Third, a dashboard presents the key performance indicators across the audience funnel. Thus, practical implications and business suggestions are presented in a two-fold strategy to maximize revenue from digital subscriptions and advertising. Findings provide new insights into an engagement approach and the relation to acquire a digital subscription in online content platforms. We believe that the provided recommendations are potentially useful to help marketing and editorial teams to manage their customer engagement process across the funnel in a more efficient way.

This study analyzes the literature available on consumer luxury consumption and the marketing of luxury products during the COVID-19 pandemic. The Scopus database was utilized to search for research on luxury products during the pandemic. The study followed the SPAR-4-SLR procedure, with 59 articles analyzed using VOSviewer to provide network and density visualization. Triangulation of analysis was conducted using NVivo as the software offers rigor in the systematic literature review. The VOSviewer network and density visualization show that the analysis of the luxury industry literature can be elucidated by sectors and themes. The results indicate that the majority of the literature on luxury discussed hospitality, especially the hotel setting, followed by luxury fashion and tourism. Many sectors, such as luxury automotive, beauty, arts, and so forth were overlooked. Online landscape, branding, social responsibility, communication, sustainability, the self, and culture are the dominant themes in literature. The study sheds light on important themes, sectors, and research gaps, benefiting academic scholars and industry practitioners in understanding and navigating the challenges and opportunities in the luxury market during crises.

This study, through a bibliometric analysis, aims to provide increased knowledge of the evolution and effects of artificial intelligence over the last 30 years in customer engagement and advertising engagement. Articles were gathered from three databases by using combinations of keywords (artificial intelligence, customer engagement, advertising engagement, marketing, machine learning, etc.). A set of inclusion/exclusion criteria were then applied to obtain the final sample. The final sample was made up of 190 peer-reviewed articles. Three separate analyses were performed to test the sample. A performance analysis identified the articles' years of publication, contributions per country and the performance/output of the relevant journals. A data analysis created 10 clusters; these are examined in depth, and provide explanations of the evolution of the relevant scientific production. The study's findings offer a wide perspective of research undertaken to date, and identify possible research gaps. This research contributes to the marketing field by bridging a gap, through undertaking a bibliometric analysis, in the research about the impact of artificial intelligence on customer and advertising engagement over the years 1991 through 2022. It offers scholars and researchers ideas for future research.

As an essential psychological construct, financial self-efficacy (FSE) has garnered considerable attention in the field of consumer finance and demonstrated its influence on financial outcomes. FSE has been regarded as a learned belief rather than an innate quality that can be nurtured over time. Notwithstanding the increasing significance of understanding consumers' FSE, this particular line of literature has not been examined as an independent research domain. Accordingly, this framework-based review comprehensively represents the current state of literature on FSE by covering 64 articles published between 1999 and 2023, compiled based on the Scientific Procedures and Rationales for Systematic Literature Reviews protocol and the theory–context–characteristics–methodology framework. Based on the review findings, an integrated model of FSE is proposed, summarizing the study frameworks and constructs employed as antecedents, modifiers, and outcomes in investigating consumer's FSE. Further, the review has identified certain areas that were previously overlooked. As a result, a research agenda has been developed, consisting of 22 research questions and four research objectives, which will articulate the direction for future research. Finally, the paper concludes, signifying the contribution and practical implications for researchers, families, practitioners, and society in selecting the most effective measures for improving consumers' FSE.

The peer-to-peer (P2P) sharing economy, as an attractive alternative to permanent ownership, creates a triadic relationship among three groups of participants: service enablers, providers, and consumers. One of its main features is the expansion of the user's role to the roles of consumer and provider, or “prosumer.” However, in their role as prosumers, individuals may have an aversion to participating in the P2P sharing economy market due to their sense of powerlessness and lack of control, suggesting that their vulnerability needs to be considered. Despite their importance, prosumers have not received commensurate attention in the sharing economy literature. To address this gap, we examined prosumer vulnerability's impact on risk perceptions in the role of prosumer and illuminated these risks' impact on intentions to participate. The results from a U.S. survey indicate that vulnerability is a significant driver of all risk types, for both consumers and providers. Furthermore, psychological risk and security risk are found to significantly decrease intention to participate. Unexpectedly, social risk increases intention to participate among consumers and providers, while privacy and health risks are insignificant.

Since Alwin Toffler coined the term choice overload in 1970, no systematic literature review has been conducted on this subject. At the same time, the three meta-analytic studies available on the topic does not provide a comprehensive picture of the same. This systematic literature review seeks to critically evaluate the extant research on choice overload for 22 years using insights from 92 articles. After locating the major articles in the choice overload literature, we identified the theories used by researchers to explain the various aspects of choice overload, based on the TCCM framework. We then enlisted the contexts where the studies had been conducted, the characteristics (themes) of the studies, and the methodologies used in these articles. We further identified the relationships between the themes, the variables studied so far, the sampling types and sampling sizes and the statistical tools employed in these studies. Future researchers could investigate the impact of a variety of cognitive and affective factors that impact consumer psychological states and the likelihood of choice saturation. They could also focus on unexplored areas in the field of choice overload, such as comparing the effects of choice overload in physical and online contexts.