International Journal of Consumer Studies最新文献

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.

Although positive emotions generally influence pro-environmental behaviors positively, this is not always the case. Across one correlational and two experimental studies, we address this issue by investigating the temporal dimension of pro-environmental actions and how emotions can affect them. In the first study, we focused on the temporal dilemma behind pro-environmental behaviors, confirming the importance of “thinking about the future of the planet” for the adoption of various pro-environmental behaviors. In the second study, we examined the effect of eliciting positive emotions and the mediating role of the temporal focus induced by emotions. In this second study, we observed the superior effectiveness of eliciting future positive emotions (hope) compared with present positive emotions (amusement) in the adoption of pro-environmental behaviors. Finally, in a third study, we distinguished between integral and incidental hope, showing that the effect on pro-environmental behaviors is the strongest when hope is experienced about the future of the planet compared with when there is a general unspecific hope. Overall, our findings show the importance of investigating the unique effect of positive emotions, providing clear indications for practitioners about the beneficial effect of integral hope in the environmental context.

The practice of tipping is omnipresent in the tourism and hospitality sector. Although, consumer's tipping behavior has been studied from myriad perspectives, it is surprising that extant research has not yet explored how consumers' in different power states can be nudged to tip more. With the help of five studies in the lab and field, the results demonstrate that a low-power state is conducive for generating a higher tip if consumers' focus is on others due to enhanced empathy. Furthermore, as per the compensatory consumption model, powerless consumers desire power, so they are more likely to tip higher than powerful people when tipping is associated with status. Lastly, powerful consumers' propensity to tip higher is initiated when the expectations that others hold from them are made salient. Implementing these findings can maximize business' tipping revenue from both the powerful and the powerless consumers.

This article applies the life course paradigm to research on religion's influence on consumer behavior to provide an alternative perspective to theories explaining how religion influences consumption and marketing practice. While the life course paradigm has been shown to be highly influential in general consumer behavior research, this concept has been seemingly forgotten in the context of religion and consumer behavior, which is concerning given the role that religion can play in consumers' lives through various life transitions. Specifically, six major transitioning times in consumers' lives (leaving home, marriage, kids, retirement, spouse/parent death, and unexpected factors) are discussed with application to religion and consumer behavior research as well as future research directions. Discussion concludes with a call to action for more research on religion's influence on consumer behavior that is theoretically grounded utilizing the life course paradigm in an effort to more accurately understand the influence of religion on consumer behavior.

Digital transformation has had an unprecedented influence on all sectors of business over the last decade. We are now entering an era characterized by the extensive digital transformation of businesses, society, and consumers. Therefore, digital transformation has become a pivotal focus for organizations across various sectors in recent years. Despite differing scholarly perspectives on the concept and elements of digital transformation, a consensus exists that it significantly impacts consumer decisions and necessitates organizational adaptation. Recent challenges such as the COVID-19 pandemic have further accelerated the need for digital transformation and its effects on consumers. This necessitates an editorial perspective on this most important topic to establish future research agenda encompassing the various dimensions of digital transformation. The purpose of this editorial perspective is to review research on digital transformation from a multidisciplinary viewpoint and provide insights into several key domains—Internet-of-Things, social media, mobile apps, artificial intelligence, augmented and virtual reality, the metaverse, and corporate digital responsibility—that are poised to fuel the pace of digital transformation. Each domain is analyzed through a lens of introduction, role, importance, multifaceted impact, and conclusions. Future research directions are suggested.