{"title":"Views or likes? Utilizing social paratexts to make recommendations more effective in mobile social E-commerce: Construal level perspective","authors":"Xu Li , Qiqi Jiang , Kanliang Wang","doi":"10.1016/j.jretconser.2025.104419","DOIUrl":"10.1016/j.jretconser.2025.104419","url":null,"abstract":"<div><div>Social recommendation, a key component of social e-commerce, plays a pivotal role in consumer decision-making processes. Considering the characteristics of social media engagement on mobile devices, this study focuses on optimizing the design and presentation of social feedback (i.e., paratexts) accompanying persuasive messages to promote purchases. In our context, paratexts refer to elements surrounding the main text, such as the “views”, “likes”, “emoji” or “followers” on social media. We explore how different paratexts (i.e., views versus likes) affect consumer information processing. Drawing on Construal Level Theory, we conducted three experiments: an Implicit Association Test (Study 1), a between-subjects experiment measuring perceived immersion, abstraction, and attitude clarity (Study 2), and a 2 × 2 factorial design manipulating paratexts and social distance (Study 3). The first two laboratory experiments reveal a cognitive association between “Views” and high-level construal, as well as “Likes” and low-level construal. Moreover, integrating feedback type with social distance, we find that showing friends' likes lead to more purchases than presenting the crowd's likes, whereas the reverse holds for views. This research provides valuable insights for researchers and practitioners in advancing recommender systems for mobile social commerce.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104419"},"PeriodicalIF":11.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713543","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":"Sales mode selection and blockchain adoption decisions of alternative product supply chain under consumer skepticism","authors":"Yingluo Yan , Fengmin Yao , Yufei Wang","doi":"10.1016/j.jretconser.2025.104435","DOIUrl":"10.1016/j.jretconser.2025.104435","url":null,"abstract":"<div><div>Implementing green strategies associated with risks for enterprises, primarily arising from consumer skepticism regarding the green attributes of products and the competitive pressure exerted by traditional products. Considering consumer skepticism and heterogeneous manufacturers compete, we utilize the Stackelberg game to develop blockchain adoption decision models of alternative product supply chain. And we incorporate the commonly observed issue of agency efficiency into the models, capturing the disadvantage of the agency mode relative to the reselling mode in terms of sales and service efficiency. The differences in motivation for green manufacturer (GM) to adopt blockchain under different sales mode, as well as the economic, environmental, and social values of blockchain adoption is investigated. We show that when the agency mode has higher efficiency and the substitutability degree between the two products is lower while the commission rate is higher, the GM and e-commerce platform (EP) will both choose the agency mode. Additionally, the consumer skepticism degree and blockchain adoption cost will affect the preference range of both parties' sales mode. The use of blockchain by GM does not necessarily improve the green design level and his profits, depending on the consumer skepticism degree and the blockchain adoption cost. Interestingly, traditional manufacturer can always benefit from “free-riding” (i.e., leveraging the GM's blockchain investment without bearing the cost), whereas EP doesn't always benefit from this. Meanwhile, only when the substitutability of the two products is smaller and the commission rate is higher, GM is more willing to adopt blockchain in the reselling mode. Moreover, the GM may achieve a “win-win-win” situation in terms of economic, environmental, and social aspects by adopting blockchain.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104435"},"PeriodicalIF":11.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713541","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":"Live streaming channel strategies in the presence of the dual effect of influencers","authors":"Junlin Chen , Xiaohan Li , Ying Zhang , Bangdong Zhi","doi":"10.1016/j.jretconser.2025.104418","DOIUrl":"10.1016/j.jretconser.2025.104418","url":null,"abstract":"<div><div>Live streaming (LS) has become a vital sales channel for brand owners. This study evaluates three LS strategies: self LS (S model), where the brand sells directly through its own account; influencer LS (I model), where products are sold via an influencer's account; and hybrid LS (C model), which combines both approaches. Our findings reveal that the choice of strategy is strongly influenced by the influencer's fan effect. A high fan effect favors the I model, followed by the C model, while a low fan effect favors the S model. As customer viewing costs increase (e.g., due to shorter streaming durations), sales prices rise in the C model but drop in the I model. However, the brand owner's profit increases in both I and C models. We also find that moderate reputation spillover benefits both the brand owner and the influencer, but the influencer may not always deliver maximum effort in the I model. Additionally, consumer welfare is always highest when the C channel is used, and consumer interests may not always align with those of the brand owner and influencer. In the extensions, we consider platform streaming algorithms and external competition, further enriching the research conclusions. This study offers guidance to brand owners in selecting LS strategies, highlighting the trade-offs between self-live streaming and influencer collaboration.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104418"},"PeriodicalIF":11.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713542","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":"Can imagining the future repair trust? The impact of chatbots' trust repair on the continuous interaction intention in service failure","authors":"Xueying Wang , Yuexian Zhang","doi":"10.1016/j.jretconser.2025.104437","DOIUrl":"10.1016/j.jretconser.2025.104437","url":null,"abstract":"<div><div>In the field of tourism, it is almost inevitable for chatbots to encounter service failures. After a chatbot experiences a service failure, how to conduct effective service recovery is crucial for retaining consumers. Whether a chatbot can enhance continuous interaction intention by enabling customers to envision the time-course of successful service remains unknown. This study aims to discuss the different impacts of chatbots' trust repair, namely ego-moving and event-moving on continuous interaction intention. Three studies were conducted in the study to examine the impact of chatbots' trust repair on continuous interaction intention. Additionally, the mediating roles of system trust, as well as the moderating roles of tourism type and failure type, were analyzed. The research findings indicate that ego-moving trust repair can more effectively stimulate continuous interaction intention compared with event-moving trust repair, with system trust playing mediating roles in this influence process. Further analysis revealed that this effect is moderated by tourism type and failure type. Specifically, for leisure tourism, ego-moving trust repair is more likely to stimulate their continuous interaction intention through system trust. In contrast, for business tourism, event-moving trust repair is more effective. Moreover, when a information failure occurs, ego-moving trust repair is more likely to trigger continuous interaction intention through system trust. However, in the case of an system failure, the opposite is true. This study has linked the research on chatbots' trust repair and time metaphor, thereby providing a new perspective on how chatbots can conduct service recovery.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104437"},"PeriodicalIF":11.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711018","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":"Self-recovery or human Intervention? understanding the role of task type and failure frequency in chatbot failure recovery","authors":"Zhenzhen Lu, Qingfei Min","doi":"10.1016/j.jretconser.2025.104444","DOIUrl":"10.1016/j.jretconser.2025.104444","url":null,"abstract":"<div><div>Frequent failures of chatbots in customer service highlight the need for effective recovery strategies, such as chatbot self-recovery and human-agent recovery. However, the optimal implementation of these strategies remains unclear. This study, drawing on Task-Individual-Technology Fit (TITF) theory and Mental Accounting Theory (MAT), explores how recovery strategies (chatbot self-recovery vs. human-agent recovery) interact with task types (search task vs. complaint task) to affect recovery satisfaction. It also examines the psychological mechanisms and boundary conditions underlying these effects. We conducted two pilot studies and two online experiments. For search tasks, we found that chatbot self-recovery leads to higher customer satisfaction than human-agent recovery. In contrast, for complaint tasks, human-agent recovery leads to greater satisfaction than chatbot self-recovery. Perceived convenience and perceived empathy mediate these effects. Notably, when chatbots experience double failures, customers consistently prefer human-agent recovery over chatbot self-recovery, regardless of the task type. These findings offer valuable insights for optimizing service recovery strategies and improving customer experiences in hybrid customer service systems.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104444"},"PeriodicalIF":11.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711021","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}
Songmee Kim , Chorong Youn , Erin Cho , Sunwoo Kim
{"title":"When virtual influencers cause service failures: The impact of human likeness and beauty types on social psychological distance and consumer intentions","authors":"Songmee Kim , Chorong Youn , Erin Cho , Sunwoo Kim","doi":"10.1016/j.jretconser.2025.104426","DOIUrl":"10.1016/j.jretconser.2025.104426","url":null,"abstract":"<div><div>This study examines the impact of virtual influencers on consumer responses during service failures. Grounded in construal level theory, we investigate how two appearance characteristics, specifically human-likeness (human-like vs. avatar-like) and beauty type (typical vs. unique), affect social psychological distance and, consequently, coping behavioral intentions following virtual influencer service failures. We also explore the moderating roles of service failure severity and consumer attribution (internal vs. external) in the relationship between social psychological distance and their behavioral intentions. Data were collected from 304 U.S. women in their 20s and 30s. Results confirmed that human-like virtual influencers with typical beauty reduce social psychological distance, prompting greater reconciliation rather than avoidance or revenge after service failures. In contrast, avatar-like virtual influencers with unique beauty increase social psychological distance and foster more adverse behavioral intentions. Moreover, less severe service failures elicit milder consumer responses, including lower avoidance and higher reconciliation intentions, when SPD is lower; however, severe failures intensify adverse reactions, including higher avoidance and lower reconciliation intentions, when SPD is higher. Lastly, consumer attribution, whether they tend to blame internal or external cues, moderates the causal relationships between SPD and those three behavioral intentions as well. These findings suggest that marketers leveraging virtual influencers should develop tailored recovery strategies considering appearance cues of virtual influencers, social psychological distance, service failure severity, and consumers’ attribution tendencies. This research offers actionable guidance for brands featuring virtual influencers and deepens our understanding of digital-era service failures.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104426"},"PeriodicalIF":11.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711020","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}
Jiahui Yang , Li Cai , Xinyan Gong , Xiaona Li , Menghua Yang , Ruyin Long
{"title":"Enhancing acceptance of reusable express packaging: A mixed-method study to reveal the net effects and configurational effects of consumers’ perceptions","authors":"Jiahui Yang , Li Cai , Xinyan Gong , Xiaona Li , Menghua Yang , Ruyin Long","doi":"10.1016/j.jretconser.2025.104438","DOIUrl":"10.1016/j.jretconser.2025.104438","url":null,"abstract":"<div><div>The advancement of e-commerce has significantly contributed to the swift expansion of online retail, but it has also resulted in the accumulation of express packaging and environmental challenges. Consequently, the scale promotion of reusable express packaging emerges as an effective alternative. In order to investigate the adoption intention, this study integrates stakeholder theory with an expanded technology acceptance model to construct a comprehensive framework. Based on a dataset of 1102 cross-sectional data from Shanghai, this study applies the partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis to examine the net and configuration effects of variables. The findings indicate that perceived government support acts indirectly on adoption intention through product involvement. Additionally, perceived enterprise efforts, perceived information utility, perceived ease of use, perceived usefulness, and perceived normality all exert both direct and indirect effects on adoption intention. Further, it has identified six antecedent configuration paths associated with high adoption intention. These paths can be categorized into three kinds of configurations based on core conditions: namely, a government support-centered and superior product configuration, a government support-centered configuration, and a product-centered configuration. This study reflects driving factors of consumers adoption intention while identifying their net and interconnection effects, providing valuable theoretical insights for governments, enterprises, and media in formulating targeted management policies.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104438"},"PeriodicalIF":11.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711017","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}
Xiangming Ren , Xiaorong Fu , Rui Luan , Lifei Bai
{"title":"The impact of relationship strategy on customer engagement in paid membership programs","authors":"Xiangming Ren , Xiaorong Fu , Rui Luan , Lifei Bai","doi":"10.1016/j.jretconser.2025.104440","DOIUrl":"10.1016/j.jretconser.2025.104440","url":null,"abstract":"<div><div>This study explores the types of customer relationships in paid memberships and their behavioral manifestations in terms of customer engagement. It further analyzes and compares the effects of reward-based and experience-based tactics on customer engagement, as well as the moderating role of relationship duration. Employing an exploratory analytical approach of grounded theory, we confirmed that paid memberships are characterized by a strong transactional and weak communal relationship form. Correspondingly, customer engagement can be classified into transactional and non-transactional dimensions. By collecting member-customer data from both single and multiple paid membership platforms in China, we find that both reward-based and experience-based tactics positively influence both dimensions of engagement. However, reward-based tactics are more effective in fostering transactional engagement, while experience-based tactics are more effective in promoting non-transactional engagement. Moreover, relationship duration positively moderates the relationship between reward-based tactics and non-transactional engagement. This study thus provides theoretical and practical insights for the effective operation of paid membership program within Chinese e-commerce platforms.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104440"},"PeriodicalIF":11.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711019","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}
Yong Wang, Xiaoxin Sun, Xiaochen Zhang, Haijiao Shi
{"title":"Do you feel empowered by AI service robot? An exploration of consumer's social power perception in human-AI interaction","authors":"Yong Wang, Xiaoxin Sun, Xiaochen Zhang, Haijiao Shi","doi":"10.1016/j.jretconser.2025.104434","DOIUrl":"10.1016/j.jretconser.2025.104434","url":null,"abstract":"<div><div>Nowadays, anthropomorphic AI robots have been widely applied in various service scenarios. Interactions with these human-like AI robots impart a genuine sense of social presence to consumers, endowing the AI robots with distinct social identities and a palpable perception of social power, which in turn dramatically influence consumers' service experiences. Grounded in the theories of automated social presence, processing fluency, and the CAB model of consumer attitudes, this study explores the impact of AI service robots' appearance and communication styles on consumers' social power perception; and further examines how social power perception shape subsequent consumers' psychology and behavior. Results from four scenario-based experiments demonstrate that the high anthropomorphism and servant communication can elicit consumers' higher social power perception. These perceptions subsequently shape consumers' cognition, affect and affective expression towards the AI service robots. Consumers’ stereotypes towards AI robots significantly moderate the impact of social power perception on their cognitive evaluations of these robots. Additionally, this study also reveals that the impact of social power perception in human-AI interaction varies across different scenarios (functional vs. hedonic). This study offers valuable insights for the literature on service robots and provides practical suggestions for optimizing the utilization of AI robots.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104434"},"PeriodicalIF":11.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703995","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":"When help backfires: Exploring the unexpected consequences of helpful reviews on word-of-mouth","authors":"Jonghwan Kim, Shijin Yoo","doi":"10.1016/j.jretconser.2025.104422","DOIUrl":"10.1016/j.jretconser.2025.104422","url":null,"abstract":"<div><div>While helpful reviews are generally seen as catalysts for consumer engagement, their unexpected consequences on electronic word-of-mouth (eWOM) remain underexplored. This paper examined the potential negative impacts of helpful reviews. Although there is a prevailing view that review helpfulness positively influences consumer engagement, the authors addressed that helpful initial reviews may hamper the volume of review. They formulated and tested hypotheses on the potential negative effects of helpful initial reviews, contributing to a deeper understanding of the complex dynamics of online consumer behavior in eWOM. Drawing on product review data from two distinct e-commerce platforms (Amazon and Yelp), two studies investigated the influence of the perceived helpfulness of existing reviews on subsequent review writing. Further, the results demonstrated that the negative effect of helpful reviews was significantly moderated by product type, review length, and reviewer reputation. Overall, this study showed that an increase in review helpfulness may not always result in beneficial outcomes, which has key implications for online merchants, e-commerce platform providers, and consumers.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104422"},"PeriodicalIF":11.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678792","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}