International Journal of Consumer Studies最新文献

Pacheco, D. C., Moniz, A. I. D. , S. A., Silva, O. D. L., Caldeira, , S. N., and Bigné, ., E. 2025. “ Impulsivity in Live Shopping: How Envy, Happiness, and Hedonic Consumption Influence Gen Z Purchases.” International Journal of Consumer Studies 49, no. 5: e70113. https://doi.org/10.1111/ijcs.70113.

For the purposes of institutional evaluation and assessment of research performance, the authors are required to list their affiliations as below.

Daniel Costa Pacheco

School of Business and Economics, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

Centre of Applied Economics Studies of the Atlantic (CEEAplA), University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

Ana Isabel Damião de Serpa Arruda Moniz

School of Business and Economics, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

Centre of Applied Economics Studies of the Atlantic (CEEAplA), University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

Osvaldo Dias Lopes da Silva

School of Science and Technology, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

CICS.UAc/CICS.NOVA.UAc, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

Suzana Nunes Caldeira

School of Social Sciences and Humanities, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

CICS.UAc/CICS.NOVA.UAc, University of the Azores, Rua da Mãe de Deus, 9500-321, Ponta Delgada, Portugal.

We apologize for this error.

Despite growing concern over electronic waste (e-waste), critical gaps remain in understanding the psychological and informational drivers of e-waste recycling behavior. This study draws on Risk Perception Theory and Appraisal Theory of Emotion to examine the relationships among e-waste knowledge, perceived environmental risk, anticipated guilt and pride, recycling intention, and e-waste-related word of mouth (EW-WOM). Survey data from 357 consumers in a developing economy were analyzed using PLS-SEM. The results reveal that e-waste knowledge significantly increases perceived environmental risk. Both emotions positively influence recycling intention and EW-WOM. The study also introduces a validated e-waste knowledge scale for future research. Practical implications include promoting e-waste education across age groups and professions, and designing emotion-driven public campaigns using storytelling and social media to increase recycling engagement. Policymakers and businesses can leverage these findings to craft targeted interventions that enhance knowledge and activate emotional motivators. By integrating informational and emotional strategies, this study offers a comprehensive framework for advancing sustainable consumer behavior in e-waste management.

This study conducts a computational literature review (CLR) of 1076 peer-reviewed publications (1972–2024) to map how youth ICT engagement has been studied across the social sciences. Using unsupervised topic modeling, we identify 14 latent topics, which cluster into five domains: digital learning, online risk and well-being, identity and social interaction, digital marketing, and media consumption. Our findings reveal deep fragmentation—particularly the lack of integration between emotional regulation, autonomy, and digital literacy. Building on these insights, we propose an integrative framework that positions digital maturity as a developmental mediator and conceptual bridge linking antecedents (e.g., family environment, platform design) with behavioral outcomes such as agency, adaptability, and resilience. This synthesis provides a nuanced theoretical perspective for explaining behavioral development in digital contexts, advancing theory beyond discrete, skills-based models. Finally, the paper offers practical insights for educators (e.g., tailoring instruction to digital maturity archetypes), marketers (e.g., designing ethical, age-appropriate digital tools), and policymakers (e.g., refining youth digital literacy and citizenship initiatives) to support the successful maturation of young consumers in a digital world.

Anthropomorphism has widely been discussed in marketing literature as a concept that accounts for customer attitudes and behaviors. The study undertook a systematic literature review to reveal the relationship between anthropomorphism and customer experience. The review employed the Theory-Context-Construct-Methods (TCCM) framework, bibliometric analysis (performance analysis and scientific mapping), and systematic content analysis. 177 peer-reviewed journal articles published between 2003 and 2025 were selected. The analysis highlights the most prolific authors, articles, journals, various research streams, and prospective research directions. The findings include the most utilized theories, contexts, countries, and methodologies in anthropomorphic experience research. The study provides a structured framework that encapsulates the antecedents, moderators, mediators, and consequences of the phenomenon for future research. The insights derived from this analysis bear significant implications for researchers and marketing practitioners.

This study investigates consumer behavior within the metaverse, focusing on the influence of social presence, flow consciousness, e-trust, and affinity for technology interaction on the propensity to buy online and intentions to prosume. A quantitative research approach was employed, with data collected via an online survey from 502 Zepeto users. Hypothesis testing was done to analyze the relationships among variables. The study found significant positive relationships of social presence and flow consciousness with the propensity to buy online and intentions to prosume within the metaverse. E-trust was identified as a moderator, enhancing the effects of social presence and flow consciousness on consumer behaviors. Additionally, affinity for technology interaction moderates the relationship between flow consciousness and consumer actions in virtual environments. This research makes a novel contribution by integrating Social Presence Theory, Flow Theory, and the Technology Acceptance Model (TAM) within an immersive, avatar-based metaverse context, a combination that has not been previously explored in virtual environment or social commerce literature. By addressing this theoretical gap, the study provides a comprehensive framework to understand how emotional, cognitive, and social factors interact to drive behavior in emerging digital ecosystems. The findings offer actionable insights for businesses aiming to enhance virtual experiences by prioritizing social interaction design, fostering immersive flow states, and embedding trust-building mechanisms to support secure and engaging consumer journeys.

Generative artificial intelligence (AI) technologies offer new potential for marketing and customer operations, such as automation and personalization of customer service. However, more must be understood about how AI-mediated communication (AI-MC) affects customer trust. We conducted an online experiment to investigate the impact of AI-MC on customer trust in an online retail context. We presented N = 294 participants with two email scenarios describing a product return context, labeled as written by either (a) a service employee, (b) a service employee assisted by AI, or (c) AI on behalf of the service employee. We further varied levels of service criticality to consider customers' perception of vulnerability. Our findings revealed higher customer trust ratings in the online retailer when the email communications were written by the service employee, compared to those written by the service employee assisted by AI. When analyzing the different components of trust, it was found that communications written by the service employee assisted by AI reduced perceptions of both the online retailer's benevolence and integrity, while communications written by AI on behalf of the employee led to lower perceived integrity of the online retailer. Surprisingly, service criticality did not affect trust ratings. We discuss the managerial implications of integrating generative AI into customer service in the context of the EU AI Act, which came into force on 1 August 2024.