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The rapid growth of e-commerce has made online impulsive buying (OIB) an increasingly significant consumer behavior. However, the psychological processes underlying this behavior-particularly the role of individual differences-remain inadequately explained. This study adopts the Latent State-Trait (LST) approach as an interpretive conceptual framework to examine the relationships among the Dark Triad personality traits (DTP) (narcissism, Machiavellianism, and psychopathy), social media addiction (SMA), and online impulsive buying. Cross-sectional research data were collected from 413 participants using validated scales measuring the Dark Triad personality traits, social media addiction and online impulsive buying behavior. The proposed research model was tested using covariance-based structural equation modeling (CB-SEM); indirect effects were examined using bootstrap confidence intervals. All three dimensions of the Dark Triad personality traits were positively associated with social media addiction (β = 0.24-0.32), and social media addiction was positively associated with online impulsive buying behavior (β = 0.61). Furthermore, social media addiction exhibited significant indirect effects on the relationships between narcissism (β = 0.194, 95% CI [0.138, 0.261]), Machiavellianism (β = 0.183, 95% CI [0.127, 0.245]), and psychopathy (β = 0.217, 95% CI [0.154, 0.286]) and online impulsive buying, as none of the bootstrap 95% confidence intervals included zero. The findings are consistent with the proposed trait-state-behavior framework and suggest that social media addiction is significantly associated with the relationship between Dark Triad personality traits and online impulsive buying. As the study is based on cross-sectional data, the findings should be interpreted as associations rather than evidence of temporal or causal relationships. By adopting the LST perspective as a conceptual framework, this study contributes to a broader understanding of the relationships among personality traits, social media addiction, and online impulsive buying.

This cross-sectional study examines whether differences in social-face sensitivity and conspicuous consumption tendencies emerge among South Korean Generation Z sports consumers according to their propensity for impulse buying. While prior research has examined these constructs independently, their integration within digitally mediated sports consumption contexts remains limited. Drawing upon impulse-buying theory and social-face theory, this study investigates whether dispositional impulse-buying propensity is systematically associated with socially evaluative sensitivity and identity-expressive consumption orientations. Data were collected from 234 South Korean Gen Z consumers and analyzed using one-way MANOVA. Results indicated that the high impulse-buying group scored significantly higher in public self-consciousness, social self-shaming tendency, and all sub-factors of conspicuous consumption, whereas no significant difference was found in social formality. These findings suggest statistically significant group-based associations between impulse-buying propensity and both face-related sensitivity and conspicuous consumption orientations within the collectivist cultural context of South Korea. By positioning impulse-buying propensity as a dispositional segmentation variable linked to socially visible consumption patterns, this study contributes to the theoretical integration of impulse-buying and social-face perspectives in sports marketing research. However, given the cross-sectional design, the findings should be interpreted as relational rather than causal.

This study examined differences in self-justification and symbolic consumption tendency according to levels of impulse-buying tendency among South Korean adult members of Generation Z sports consumers. Drawing on Cognitive Dissonance Theory (CDT) and Symbolic Self-Completion Theory (SSCT), the study aimed to clarify whether impulse-buying tendency functions as a meaningful basis for segmentation in sports product consumption. Data were collected from South Korean adults aged 20 years or older who had purchased sports products within the previous 12 months. For group-based comparison, participants were classified into low (n = 128) and high (n = 106) impulse-buying tendency groups using a mean-split procedure. A 29-item questionnaire assessed impulse-buying tendency (9 items), self-justification (4 items), and symbolic consumption tendency across five subdimensions (16 items). Confirmatory factor analysis supported the adequacy of the measurement model (&#x3c7;2/df = 2.285, p < 0.001, IFI = 0.918, TLI = 0.906, CFI = 0.918, SRMR = 0.044, RMSEA = 0.074), with satisfactory reliability and convergent validity. MANOVA results showed that the high impulse-buying tendency group reported significantly higher levels of self-justification, self-development and reinforcement, conformity and belonging, and communication and exchange than the low group. These findings suggest that impulse-buying tendency differentiates consumers in terms of post-purchase cognitive responses and identity-related consumption patterns among adult Generation Z sports consumers. The results highlight the heterogeneity of South Korean Gen Z sports consumers and suggest that sports product marketing may benefit from more segmented strategies based on post-purchase reassurance and symbolic value. However, causal interpretations are limited by the cross-sectional design.

The rapid rise of livestream social commerce has reshaped online shopping by combining algorithmic personalization, entertainment, and real-time persuasion. However, how algorithmic quality, algorithmic governance, and hedonic experience jointly influence impulse-buying intentions across different digital shopping contexts remains insufficiently understood. Drawing on dual-process perspectives from persuasion and stimulus-organism-response theories, this study develops a dual-route framework explaining how algorithmic and psychological factors drive impulse buying through cue-driven and confidence-based mechanisms. Survey data were collected from 564 Chinese consumers, evenly split between livestream commerce and conventional online marketplaces. The results suggest selective contextual differences. In livestream settings, algorithmic quality and governance function as salient cues that directly stimulate impulse-buying intentions. In contrast, in marketplace environments, hedonic motivation and algorithmic governance primarily influence impulse buying indirectly by strengthening consumers' decision confidence. Configurational analysis further identifies multiple sufficient combinations of technological and motivational conditions that lead to high impulse-buying intentions, demonstrating equifinality across contexts. By integrating algorithmic quality and governance into a dual-route impulse-buying model, this study advances understanding of how transparency and system design actively shape spontaneous consumer behavior. The findings also offer practical guidance for designing transparent, confidence-enhancing, and ethically responsible recommendation systems in digital commerce.

As livestreaming e-commerce rapidly expands, impulsive buying has become increasingly prominent in online consumption. However, although prior studies have examined impulsive buying in general e-commerce contexts, little attention has been paid to impulsive buying in sports livestreaming e-commerce. Drawing on the stimulus-organism-response framework and Dual-System Theory, this study examined the associations among consumer herding tendency, perceived scarcity, hedonic benefits of sales promotion tools, pleasure emotion, trust in seller, and impulsive buying. A cross-sectional self-report survey was conducted with 775 university students in eastern China with prior purchase experience in sports livestreaming e-commerce, and the model was analyzed using partial least squares structural equation modeling. The results showed that consumer herding tendency, perceived scarcity, and hedonic benefits of sales promotion tools were positively associated with pleasure emotion and trust in seller. Perceived scarcity showed the strongest path coefficient with trust in seller. Trust in seller and pleasure emotion were positively associated with impulsive buying, whereas self-control was negatively associated with impulsive buying. Specific indirect associations through trust in seller were generally stronger than those through pleasure emotion. The moderating effect of self-control was not significant, and the gender-based multi-group analysis revealed no significant differences between male and female consumers. Given the cross-sectional self-report design, these findings should be interpreted as associations rather than causal effects.

Although compulsive buying-shopping disorder (CBSD) has over 100 years of clinical history, its nosology remains a topic of debate. In 2021, M&#xfc;ller and colleagues published a set of diagnostic criteria for the disorder based on a Delphi consensus study. The present study evaluated these criteria among 51 participants who reported a lived experience of CBSD and examined whether their experiences aligned with the components model of addiction. Participants were interviewed using a semistructured interview. Transcripts were analyzed using directed content analysis. Most participants reported a persistent and excessive pattern of buying/shopping, diminished control over buying/shopping, buying/shopping for mood modification, experiencing clinically significant distress and impairment, and continuation despite negative consequences. We recommend these symptoms be considered essential features of CBSD, along with ruling out other explanations for the buying/shopping behavior. Intrusive thoughts and preoccupation with buying/shopping, tolerance, and withdrawal were less common, and we recommend these be considered additional, but not required, features of CBSD. Given these findings and evidence that tolerance and withdrawal are not necessary or sufficient components of addiction, we recommend that CBSD be considered a behavioral addiction. Future research should use these empirically informed criteria to develop and validate a structured diagnostic interview to be used in field studies to formally recognize CBSD as a mental disorder. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

This study explores the relationship between perceived intrusiveness of AI recommendation and live-stream impulse buying in AI-enabled live-stream shopping. Based on Stimulus-Organism-Response theory and recent studies on AI recommendation source effects, the model considers perceived AI recommendation intrusiveness as algorithmic stimulus, perceived attentional capture as the internal organismic mechanism and live-stream impulse buying as a behavioral response. AI skepticism and trait self-control are further proposed as boundary conditions of the model. A survey was conducted with 417 active Chinese live-stream shoppers, and the data were analyzed using PLS-SEM. The results indicate that perceived intrusiveness of the AI recommendations is directly related to live-stream impulse buying, and indirectly related to live-stream impulse buying through the mediator of perceived attentional capture. AI skepticism attenuates the relationship between perceived AI intrusiveness and perceived attentional capture and trait self-control attenuates the relationship between perceived attentional capture and live-stream impulse buying. The study contributes to the development of the nascent literature on AI recommendations by examining intrusive recommendation experiences in live-stream commerce and by providing a greater understanding of how attention, skepticism, and self-regulatory capacity influence consumers' reactions to the algorithmically personalized shopping cues. Given that the study relies on self-report cross-sectional data, the results are regarded as theoretically-based associations rather than causal effects.

Impulsive online buying has become increasingly prominent among young adult consumers, particularly in digital environments characterized by immediacy, convenience, and low-friction decision-making. This study examines the associations between Dark Triad personality traits (Machiavellianism, narcissism, and psychopathy), self-efficacy, impulsivity, and impulsive online buying intent among university students in Lebanon. Grounded in the Stimulus-Organism-Response framework and supported by Personality Theory, Social Cognitive Theory, and the Reference Point Model, the study conceptualizes personality traits and self-efficacy as internal psychological stimuli, impulsivity as the organismic state, and impulsive buying intent as the behavioral response. Using a quantitative cross-sectional design, data were collected from 369 university students through convenience sampling using a structured self-administered questionnaire with validated Likert-scale measures, and analyzed using PLS-SEM. The findings indicate that all three Dark Triad traits and self-efficacy are positively associated with impulsivity, while impulsivity is strongly associated with impulsive online buying intent and mediates these relationships. The study extends the Stimulus-Organism-Response framework by incorporating internal psychological characteristics as stimuli and offers novel evidence of a context-dependent positive association between self-efficacy and impulsivity in digital consumption settings.

The research is intended to chart the research space of artificial intelligence-based personalization and impulsive purchasing behavior in e-commerce, with a particular emphasis on Millennials and Generation Z. It aims to determine the trends of publications, the main themes, the sources of influence, the patterns of collaboration, as well as the new directions of the research. 650 articles of Web of Science and 48 articles of Scopus were analyzed by Biblioshiny. Performance analysis, co-occurrence network analysis, thematic mapping, and source and authorship analysis were included in the analysis. The results indicate a definite increase in the number of publications over the past few years, which indicates growing interest among scholars in the AI and consumer behavior. In both data sets, the theme of artificial intelligence, technology adoption, and consumer behavior is predominant in the field, with trust, behavioral intention, and adoption proving to be key supporting concepts. The analysis of co-occurrence revealed the significant clusters with the focus on AI and technological improvement, consumer behavior, and engagement. Nonetheless, the direct correlation between AI-driven personalization and impulsive buying behavior is underrepresented, and the focus on Millennials and Generation Z has not been explicitly addressed yet. The study concludes that research in this area is currently increasing at an extremely fast rate, however, it remains in pieces and is still lacking a fully integrated conceptual framework. Though the literature covers AI and its impact on consumer behavior in a comprehensive manner, the behavioral consequence of impulsive buying by younger generations has been poorly covered in the literature. The results indicate that future research should address more directly how AI personalization processes relate to impulsive buying behaviors and should also investigate how generational differences influence the results. The research also provides valuable information to the researchers and practitioners with interest in the role of AI in digital commerce and consumer decision-making.

This article presents a survey dataset on psychological drivers and impulsive buying behavior on social commerce platforms in Vietnam. The data were collected between January and April 2026 through a cross-sectional online questionnaire administered to Vietnamese consumers who had purchased at least one product through a social commerce platform within the previous six months. The refined analytical dataset contains 589 valid observations retained after removal of 42 submitted cases that showed straight-lining, duplicate response patterns, or other survey-quality problems from an initial pool of 631 responses. The instrument contains 31 Likert-type indicators measuring eight reflective constructs: perceived enjoyment, hedonic motivation, stress state, social influence, immediate gratification, perceived social value, fear of missing out, and impulsive buying behavior. The repository package contains the cleaned dataset, codebook, questionnaire, informed consent materials, and repository documentation. The repository package also reports reflective measurement-model diagnostics computed in SmartPLS 4, including indicator loadings, reliability coefficients, average variance extracted, heterotrait-monotrait ratios, and collinearity statistics, so that users can inspect measurement properties before reuse. These data can be reused for scale assessment, replication, multigroup comparison, mediation and moderation analysis, and comparative research on social commerce and digital consumer behavior in emerging-market contexts.

Fear of Missing Out (FoMO) has become a salient emotion in consumer markets shaped by social media, scarcity appeals, and social display. Yet limited research has examined FoMO as a consumption-specific emotion associated with consumer dispositions, situational cues, and post-purchase intentions. Drawing on Social Comparison Theory, Self-Determination Theory, and the Stimulus-Organism-Response (S-O-R) framework, this study examines the relationships among Materialism, Envy, Scarcity, FoMO, Impulsive Buying (IB), and Repurchase Intention (RI). Survey data from 518 Chinese consumers with prior Pop Mart purchasing experience were analyzed using PLS-SEM. The results show that Materialism, Envy, and Scarcity were positively associated with FoMO, with Scarcity showing the strongest relationship. FoMO was positively associated with IB, and IB was positively associated with RI. The results also supported three serial mediation paths, indicating that FoMO and IB served as sequential mediators between Materialism, Envy, Scarcity, and RI. This study extends FoMO research to cultural and creative product consumption and provides insight into how consumption-related emotions are associated with sustained purchase tendencies.

Severe early childhood caries (SECC) in preschool children is a progressive, multifactorial disease with far-reaching consequences for child health, family functioning, and health systems. Minimally invasive dentistry (MID), particularly 38% silver diamine fluoride (SDF), is increasingly used to arrest lesions and "buy time" when definitive restorative care is delayed. This narrative review synthesizes current evidence-based guidelines and real-world utilization data to clarify the appropriate role and limits of SDF in SECC management. Professional guidance supports SDF for lesion arrest within an ongoing caries management plan, but does not endorse it as a universal long-term substitute for durable restorative care. Observational studies show that many SDF-treated primary teeth receive additional intervention within approximately 2 years, and any delay in sedation/general anesthesia is typically measured in weeks to months. A large recent private practice study found that 35% of children with caries progressed to higher-intensity treatment (restoration or extraction) over a median of 547 days, reinforcing the time-limited nature of interim stabilization. We propose a "preservation-to-precision" framework that prioritizes child-centered outcomes-freedom from pain and infection, durable function, and acceptable psychosocial impact-through risk-based, tooth- and child-specific planning, realistic follow-up assessment, and clear exit criteria for transition to definitive care. In high-income settings, the ethical value of "buying time" depends on whether systems use that time to advance children toward timely, definitive care rather than normalizing prolonged temporization as routine practice.

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