{"title":"The power of personal losses: How the loss-gain frame influences public green participation intentions","authors":"Chunfeng Chen, Depeng Zhang, Lu Zhu, Junbao Wu","doi":"10.1016/j.jretconser.2025.104296","DOIUrl":"10.1016/j.jretconser.2025.104296","url":null,"abstract":"<div><div>Despite the growing public awareness of environmental issues, a common gap between attitude and behavior persists. Effectively promoting public participation in pro-environmental actions remains a critical challenge in enhancing environmental governance. This research focuses on the gain-loss framing of green appeals and develops a research model to investigate the influence of different framing types (personal loss vs. collective gain) on the public's intention to engage in green behavior. Through four experiments, including both field and laboratory studies, the research demonstrates that framing green appeals in terms of personal losses is more likely to foster a higher intention to engage in green behavior than framing them in terms of collective gains. The underlying mechanism of this effect is that emphasizing personal losses strengthens the public's sense of psychological empowerment, thereby increasing their sense of green self-accountability, which, in turn, boosts their intentions to participate in green behaviors. However, this effect is moderated by individuals' green self-efficacy. The higher an individual's green self-efficacy, the weaker the impact of the gain-loss framing on their psychological empowerment.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104296"},"PeriodicalIF":11.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikee Silayach , Rajeev Kumar Ray , Navneet Kumar Singh , Devi Prasad Dash , Amit Singh
{"title":"When algorithms meet emotions: Understanding consumer satisfaction in AI companion applications","authors":"Nikee Silayach , Rajeev Kumar Ray , Navneet Kumar Singh , Devi Prasad Dash , Amit Singh","doi":"10.1016/j.jretconser.2025.104298","DOIUrl":"10.1016/j.jretconser.2025.104298","url":null,"abstract":"<div><div>AI companion applications are transforming how people form and maintain relationships in the digital world, with millions of users now engaging in emotional and social interactions with AI agents. Understanding what drives user satisfaction becomes crucial as these applications become increasingly integrated into users' daily lives. Drawing on Orlikowski's practice lens theory and employing text mining and hierarchical clustering methodologies on user reviews enhanced with focus group discussions, this study identifies two key determinants of user satisfaction: Functional Capability Perception and Affective Social Attunement. The analysis of 156,637 user reviews and insights from diverse participants reveals that satisfaction emerges through users' simultaneous negotiation of technical proficiency and emotional boundaries in their AI interactions. Functional capabilities positively influence satisfaction, while deeper emotional engagement creates a paradoxical effect where users become more sensitive to AI limitations. The study demonstrates how societal conditions shape these dynamics, with evaluation criteria evolving from simple acceptance to deeper interpersonal connections, reflecting changing attitudes toward human-AI relationships. Our mixed methods approach uncovers the contextual factors and usage patterns that shape how users integrate these technologies into their daily routines and emotional ecosystems. These insights advance our understanding of human-AI relationships while providing practical guidance for developers on creating adaptive systems that respond to evolving user needs. By understanding these complex dynamics, stakeholders can develop AI companions that enhance human relationships rather than attempting to replace them.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104298"},"PeriodicalIF":11.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fun or warm: How conversational style boosts customer engagement","authors":"Debashree Roy Bhattacharjee , Abhisek Kuanr , Debasis Pradhan , Tapas Ranjan Moharana","doi":"10.1016/j.jretconser.2025.104293","DOIUrl":"10.1016/j.jretconser.2025.104293","url":null,"abstract":"<div><div>This research proposes and shows that a fun conversational style fosters greater tourist engagement than chatbots' traditional warm conversational style in a hotel room booking context. Furthermore, successful technology adoption requires businesses to understand the influence of cultural factors. Specifically, comprehending how individualism, a key cultural factor, shapes the effectiveness of chatbot conversation styles is important to enhance tourist engagement. Our findings, across two studies employing a combination of online surveys (Study 1, n = 241) and a randomised between-subject experiment (Study 2, n = 113), demonstrate that tourists' individualism serves as a boundary condition for the relationship between chatbot conversation styles and engagement. Additionally, results show that a fun chatbot conversation style increases customer engagement through underlying mechanisms of consumer's sense of liberation and hedonic involvement. Our research contributes to the psychological theory of fun and literature related to customer engagement. From a practical standpoint, this research offers valuable insights into the effectiveness of chatbot conversations that resonate with the needs of tourists while booking a hotel room. Marketing firms should deploy fun chatbots that stimulate customers' attention, interest, arousal, and curiosity through enjoyable experiences to foster customer engagement.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104293"},"PeriodicalIF":11.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanghee Kim , Wei Tian , Taewoo Roh , Seojin Stacey Lee , Minwoo Lee
{"title":"Exploring the influence of perceived economic mobility on leisure consumption: The moderating effect of social capitals","authors":"Yanghee Kim , Wei Tian , Taewoo Roh , Seojin Stacey Lee , Minwoo Lee","doi":"10.1016/j.jretconser.2025.104300","DOIUrl":"10.1016/j.jretconser.2025.104300","url":null,"abstract":"<div><div>This study examines how perceived economic mobility (PEM) influences leisure consumption, specifically distinguishing between highbrow and popular cultural activities. This research posits that PEM, as a subjective perception of social class, significantly drives leisure consumption patterns, and that this effect is moderated by various dimensions of social capital, including social relationships, trust, and social networking. Using data from a comprehensive survey of 42,125 citizens in South Korea, this study assesses the relationships among these factors using confirmatory factor analysis and regression. The findings reveal that individuals with higher PEM are more likely to engage in both highbrow and popular leisure consumption, though the extent of this engagement is shaped by their social capital. Social trust and networking enhance the positive relationship between PEM and highbrow leisure consumption, while strong social relationships appear to reduce engagement in popular leisure consumption. These insights provide valuable implications for the leisure industry, suggesting that fostering economic optimism and leveraging social capital can effectively boost leisure consumption. This research contributes to the broader understanding of how economic perceptions and social factors interact to shape consumer behavior in leisure contexts, offering a nuanced perspective that bridges the gap between economic theory and social capital frameworks.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104300"},"PeriodicalIF":11.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring technology acceptance over time using transfer models based on online customer reviews","authors":"Daniel Baier, Andreas Karasenko, Alexandra Rese","doi":"10.1016/j.jretconser.2025.104278","DOIUrl":"10.1016/j.jretconser.2025.104278","url":null,"abstract":"<div><div>Online customer reviews (OCRs) are user-generated, semi-formal evaluations of products, services, or technologies. They usually consist of a timestamp, a star rating, and, in many cases, a comment that reflects perceived strengths and weaknesses. OCRs are easily accessible in large numbers on the Internet – for example, through app stores, electronic marketplaces, online shops, and review websites. This paper presents new transfer models to predict technology acceptance and its determinants from OCRs. We train, test, and validate these prediction models using large OCR samples and corresponding observed construct ratings by human experts and generative artificial intelligence chatbots as well as estimated ratings from a traditional customer survey. From a management perspective, the new approach enhances former technology acceptance measurement since we use OCRs as a basis for prediction and discuss the evolution of acceptance over time.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104278"},"PeriodicalIF":11.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does blockchain mitigate false advertising in live streaming E-commerce? A tripartite stochastic evolutionary game approach","authors":"Ruipeng Wang, Yuhong Tai","doi":"10.1016/j.jretconser.2025.104287","DOIUrl":"10.1016/j.jretconser.2025.104287","url":null,"abstract":"<div><div>The rapid rise of live-streaming e-commerce, particularly in China, has transformed consumer shopping experiences; however, it has also introduced challenges such as false advertising and distorted product information. This study explores how blockchain technology can address these issues within the live-streaming e-commerce ecosystem. Using a tripartite evolutionary game model involving e-commerce platforms, merchants, and consumers, we apply stochastic differential equations to analyze the stability of strategic behaviors and dynamics of false advertising. Key findings include: (1) In high-commission environments, platforms and merchants are better aligned, increasing the likelihood of merchants adopting truthful advertising strategies. (2) In high-profit environments, the temptation for merchants to engage in false advertising rises, prompting platforms to adopt blockchain technology to maintain transparency. (3) Although blockchain technology adoption enhances platform reputation over the long term, its direct impact on merchants’ advertising strategies is limited. (4) Regulatory measures such as fines and consumer reporting rewards promote blockchain technology adoption and reduce false advertising. These findings provide valuable insights for enhancing the credibility of live-streaming e-commerce and offer guidance for platforms on balancing technology adoption with regulatory efforts to foster sustainable industry development.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104287"},"PeriodicalIF":11.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital daydreams: Exploring consumer motivations for engaging with the metaverse","authors":"Sigma Soni , Parvinder Arora , Dharun Kasilingam , Varsha Jain","doi":"10.1016/j.jretconser.2025.104294","DOIUrl":"10.1016/j.jretconser.2025.104294","url":null,"abstract":"<div><div>The metaverse is rapidly emerging as a transformative digital technology with significant implications for consumer behavior and marketing strategies. However, there is insufficient knowledge about the factors that can motivate or prevent consumers from adopting the metaverse. Addressing this gap, this study employs Behavioral Reasoning Theory (BRT) and Technology Readiness frameworks to investigate the dual forces of motivation and resistance that shape metaverse adoption. This research used a mixed-methods approach, which consisted of in-depth interviews with 48 industry experts to determine the ‘reasons for’ and ‘reasons against’ metaverse adoption, which were then validated through a survey of 771 consumers. The findings reveal that positive motivators like haptic imagery, convenience, trend affinity, and relative advantage significantly enhance consumer attitudes. Meanwhile, barriers like privacy concerns, financial concerns, risk of malfunctions, and perceived performance risks are negative influencers. Results also show that technology readiness is a crucial determinant, with optimism and innovativeness promoting adoption and discomfort and insecurity deterring it. This study contributes to the metaverse adoption literature by examining consumer attitudes' role in shaping adoption intentions and engagement, an area that has received relatively limited attention. The findings offer actionable strategies for practitioners to navigate consumer hesitations and unlock the metaverse's potential as a next-generation interaction, innovation, and commerce platform.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104294"},"PeriodicalIF":11.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiangyang Ma , Jiawen Ren , Xianghui Khor , Ruina Wang , Tieshan Li , Xiaoping Lang
{"title":"Influencing mechanisms of live streamer's language strategies on product sales","authors":"Xiangyang Ma , Jiawen Ren , Xianghui Khor , Ruina Wang , Tieshan Li , Xiaoping Lang","doi":"10.1016/j.jretconser.2025.104291","DOIUrl":"10.1016/j.jretconser.2025.104291","url":null,"abstract":"<div><div>Live-streaming e-commerce has experienced rapid growth in recent years. Drawing on Hovland's persuasion theory and Aristotle's rhetorical theory, this study categorizes streamers' persuasive linguistic strategies into six types: rewards and exaggeration, rewards and logic, rewards and emotion, credibility and exaggeration, credibility and logic, and credibility and emotion. Through text analysis and statistical modeling, the results show that \"rewards and exaggeration,\" and \"credibility and exaggeration,\" positively influence sales, while \"credibility and logic\" has a negative impact on sales. The study further finds that customer engagement mediates the relationship between most linguistic strategies and sales, while electronic word-of-mouth (eWOM) amplifies the influence of customer engagement on sales. This research enriches theoretical insights into persuasive language use in live-streaming e-commerce and provides practical recommendations for streamers aiming to optimize engagement and boost sales performance.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104291"},"PeriodicalIF":11.0,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathrin Sinemus , Stephan Zielke , Thomas Dobbelstein
{"title":"Improving consumer satisfaction through shopping app features: A Kano-based approach","authors":"Kathrin Sinemus , Stephan Zielke , Thomas Dobbelstein","doi":"10.1016/j.jretconser.2025.104243","DOIUrl":"10.1016/j.jretconser.2025.104243","url":null,"abstract":"<div><div>Most retailers offer a shopping app to their customers. Such shopping apps can include various features, such as product finding tools, wish lists, check and reserve, visual search, or augmented reality. For designing an app, retailers must know which features customers take for granted to prevent dissatisfaction and which features they appreciate to increase satisfaction. This study therefore applies the Kano model of customer satisfaction to analyze how a representative sample of 798 consumers categorize 25 app features as either must-be, attractive, one-dimensional, or indifferent. It further segments customers based on their tendencies to characterize the features and shows differences between these segments in several profiling factors, such as browsing orientation, app enjoyment, innovativeness, app usage frequency, and product involvement. This study extends existing literature by understanding how each of these features contributes to preventing dissatisfaction and increasing satisfaction and how this contribution differs between customer segments. Our study has in particular implications for designing shopping apps and targeting app design and communication of feature benefits to the identified segments.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104243"},"PeriodicalIF":11.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic prediction of product competitive position: A multisource data-driven competitive analysis framework from a multi-competitor perspective","authors":"Yanlai Li, Huiru Yu, Zifan Shen","doi":"10.1016/j.jretconser.2025.104289","DOIUrl":"10.1016/j.jretconser.2025.104289","url":null,"abstract":"<div><div>Competitive analysis is critical in enhancing product quality and facilitating strategic adaptation, with user-generated content (UGC) offering new avenues to improve product competitiveness. Existing UGC-based SWOT analysis methods have made progress in minimizing subjective bias. However, they still lack in analysis scope, enhancement of dynamic forecasting, and improvement of factor prioritization. Given the rapid changes in the market environment, companies urgently require innovative approaches to secure a competitive advantage. From a multi-competitor perspective, this study introduces a multisource data-driven dynamic SWOT (D-SWOT) analysis framework, which broadens the analysis to include all potential market competitors, aiming to dynamically predict the focal product's position in a specific competitive environment and evaluate factor priorities. Initially, competitors are identified from multisource data through a competitor identification algorithm. Subsequently, attributes are identified, their importance is assessed using the LDA model, and their performance is evaluated through the bidirectional long-short-term memory model. This study aims to comprehend market dynamics and formulate effective strategies by employing a grey prediction model to forecast future attribute trends. Based on the core principles of SWOT analysis, rules for determining factors have been clarified, and a D-SWOT matrix has been constructed to predict changes in the product's market position. Finally, integrating attribute performance differences with their relative importance, a competitive priority index apt for competitive analysis has been developed to guide product enhancements and strategic realignments. Through a case study involving tablet products, the framework's substantial benefits in terms of competitive analysis have been validated.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"85 ","pages":"Article 104289"},"PeriodicalIF":11.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}