International Journal of Consumer Studies最新文献

This study performs a systematic literature review (SLR) and synthesis of literature on compulsive buying based on the Theory-Context-Characteristics-Method (TCCM) framework. Accordingly, we synthesize 103 scholarly articles from top tier journals on compulsive buying behavior (CBB) in terms of publication trends, study domain, authorship, frequently used theories, countries involved, and research methods adopted for the last 36 years (1989–2024). Further, to systematically uncover latent patterns, recurring concepts, and thematic clusters within a large body of compulsive buying literature, we employed lexicometric analysis using Iramuteq software. Additionally, word cloud analysis was carried out to visually identify the focus areas and portray the frequently used keywords clustering in eight different time spans. An integrated conceptual framework was also developed by integrating the antecedents, mediators, and consequences of compulsive buying literature. The study reported limited investigation to get more information on the effect of sociocultural factors, financial factors, and product characteristics on CBB. Therefore, further research can be focused on these areas. Lexicometric analysis reported six major themes and five clusters comprised of consumer-related attributes, product-related attributes, the role of financial institutions, marketing strategies, and research methods under compulsive buying. This review identifies areas that are underexplored in the compulsive buying domain and recommends ways in which research can be advanced. Overall, this SLR significantly contributes to compulsive buying literature by providing both academic and practical implications.

The present study offers a comprehensive analysis of existing literature on consumer behavior concerning digital voice assistants and their implications for sustainable consumption by employing the systematic literature review approach. A total of 126 studies were selected for content analysis to isolate thematic foci, identify research gaps, recommend future research avenues, and develop a framework. The analysis revealed that the extant literature could be grouped under broad research themes founded on the expanded cognition–affection–conation framework. Through this framework, the study developed an agenda for future research in this area, encompassing the aspects of ethical consideration, the digital voice assistant design, consumer–digital voice assistant interaction and psychological mechanisms, consumer- and brand-related outcomes, and boundary conditions (e.g., culture and personal factors).

Advertisers increasingly rely on in-feed ads to reduce ad avoidance, yet their seamless integration can also decrease ad awareness and trigger perceptions of deception, creating a double-edged sword. This research addresses this paradox by examining the interaction effect of design nativeness and content nativeness. Across four experiments, including static feed images, interactive virtual news websites, and a webcam-based eye-tracking study, we find that when content nativeness is high, low (vs. high) design nativeness captures more attention and subsequently elicits more favorable ad attitudes, whereas this effect disappears under low content nativeness. These findings advance research on native advertising and attention processes while offering actionable guidance for balancing ad visibility, consumer acceptance, and regulatory transparency.

This study investigates how identity-based Motivation drives sports consumer evangelism, unpacking the sequential roles of customer engagement and psychological commitment and the moderating role of team identification. A time-lagged survey design was employed, with 589 sports fans completing measures in two waves separated by 2 months. Structural Equation Modeling using SmartPLS4 tested the proposed model. Identity-based Motivation positively predicted consumer evangelism both directly and indirectly. Customer engagement partially mediated the relationship between identity-based motivation and commitment, while psychological commitment partially mediated the link between engagement and evangelism. Team identification moderated the relationship between identity-based motivation and engagement, amplifying the effect for highly identified fans. This study advances Identity-Based Motivation Theory and the Customer Engagement Framework in sports marketing by clarifying how motivational identities are transformed into passionate advocacy. Importantly, it addresses critical gaps in prior research by moving beyond loyalty and word-of-mouth to focus on evangelism. Managerially, the findings provide actionable guidance for sports marketers, such as designing identity activation campaigns, developing interactive digital fan engagement platforms, and implementing loyalty-building strategies that cultivate unpaid evangelistic support.

As online retail platforms continue to evolve, understanding consumer behavior in digital shopping environments has become important, particularly for startups which aim to strive and grow in highly competitive markets. This study introduces the Digital Shopping Behavior Model (DSBM), a data-driven framework designed to analyze the impact of personalization, customer reviews, and browsing behavior on purchase intent, using data set collected from Amazon's consumers. This research has applied Amazon's ecosystem, which uncovers behavioral insights that not only reflect consumer expectations in mature e-commerce environments but also serve as benchmarking for many startups which aim to optimize user engagement, conversion, and retention on their online platforms. This study has proposed a model that explains the complete digital shopping journey from initial product search and evaluation to cart activity and post-purchase behaviors. We have applied a quantitative method using the application of K-Means Clustering to analyze four key customer personas: value seekers, review-driven buyers, convenience-oriented shoppers, and personalization responders. Each segment represents recommendation systems and review credibility, offering actionable insights into satisfaction, loyalty, and purchasing decisions for online retail. The findings confirm that personalization frequency, review reliability, and browsing intensity significantly influence consumer intent and engagement in an online environment. The proposed DSBM provides startups with a replicable model to refine their digital strategies, enhance recommendation engines, and craft targeted marketing approaches tailored to specific customer segments. By drawing from Amazon's proven techniques, the model offers a scalable roadmap for emerging e-commerce ventures to build customer-centric platforms that emulate and innovate upon the success of established digital giants.

Donation, whether through money, materials, or time, has long been vital to the sustainability of nonprofit organizations and the cohesion of societies. Thus, understanding the key drivers behind donation behavior is a critical concern across multiple disciplines, yet the existing literature remains fragmented and theoretically diverse. This study employs a systematic literature review (SLR) guided by the TCCM (Theory–Context–Characteristics–Methods) framework to synthesize and evaluate the academic landscape on donation motivation. Drawing on a comprehensive analysis of 116 peer-reviewed publications from 1993 to 2025, the review identifies the dominant theoretical foundations, including self-determination theory, the theory of planned behavior, social exchange theory, the theory of prosocial behavior, and signaling theory, while also highlighting conceptual gaps and emerging paradigms. Contextually, the study maps research across diverse geographical, cultural, and technological settings, with a particular focus on the transformative role of digital platforms and global crises in shaping donor engagement. In terms of characteristics, it categorizes key motivational drivers into intrinsic and extrinsic categories, encompassing empathy, social recognition, relief of suffering, and the warm-glow giving. Methodologically, the review reveals a predominance of quantitative approaches, with limited integration of mixed-methods and longitudinal designs. By systematically organizing insights through the TCCM lens, this review not only clarifies the current state of research but also provides actionable recommendations for scholars, practitioners, and policymakers seeking to deepen their engagement with diverse donor segments in an evolving philanthropic landscape.

As digital financial services (DFS) become increasingly important in personal financial management, understanding their implications for individual well-being is critical. Although prior research has focused on financial inclusion and digital finance access, less is known about the mechanisms through which DFS influence broader well-being outcomes. This study examines the relationship between DFS use, financial well-being, and life satisfaction, with financial well-being conceptualized as a mediating factor. Data were drawn from a sample of 1552 Korean adults aged 25–59 who completed an online survey and provided valid responses for analysis. Financial well-being was assessed with the Consumer Financial Protection Bureau's financial well-being scale, and life satisfaction was measured using Cantril's ladder and the feeling thermometer. Mediation analyses reveal that DFS use is positively associated with financial well-being, which in turn significantly influences life satisfaction. Importantly, the relationship between DFS use and life satisfaction is fully mediated by financial well-being, with no significant direct effect once financial well-being is accounted for. This mediation pathway is driven primarily by transactional DFS—such as mobile banking, payments, and credit card management—rather than investment-oriented DFS. These findings suggest that the well-being benefits of DFS arise from the ways digital services enable individuals to manage routine financial matters more effectively. This study highlights the importance of designing inclusive DFS platforms that enhance financial well-being as a pathway to improving life satisfaction.