Journal of Retailing and Consumer Services最新文献

{"title":"Consumer preferences for unmanned stores: A choice experiment study","authors":"Youngwon Nam ,&nbsp;Sihyun Lee ,&nbsp;Hoyoung Lee","doi":"10.1016/j.jretconser.2024.104061","DOIUrl":"10.1016/j.jretconser.2024.104061","url":null,"abstract":"<div><p>Unmanned stores are characterized by the addition of new technical attributes to existing retail services to replace human staff. This study examines consumer preferences for store- and technology-related attributes across both goods and services retail settings. Using a sample of 600 participants, we conducted a choice experiment and analyzed multinomial logit models to estimate consumer preferences for each attribute and the levels of preferences. The results indicate that not only technology-related attributes but also store-related attributes influence consumer preferences for unmanned stores. Furthermore, we found that consumer preference declines as stores adopt more advanced technologies. The effects of these attributes are largely consistent across both settings, except in the case of payment-related technologies. The findings provide practical insights on optimally managing store attributes and adopting retail technologies, taking into account consumer perceptions associated with technological integration in unmanned stores.</p></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"82 ","pages":"Article 104061"},"PeriodicalIF":11.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136116","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":"Give me a second life! Extending the life-span of luxury products through repair","authors":"Mona Mrad ,&nbsp;Rania W. Semaan ,&nbsp;George Christodoulides ,&nbsp;Emanuela Prandelli","doi":"10.1016/j.jretconser.2024.104055","DOIUrl":"10.1016/j.jretconser.2024.104055","url":null,"abstract":"<div><p>Despite the rise in luxury organizations’ efforts to embrace the circular economy and offer more sustainable options to consumers, research on luxury goods in the circular economy remains limited and primarily focused on “closing loop” strategies––mainly second-hand and rental business models that challenge the traditional concept of luxury. By contrast, there is a complete paucity of research on luxury product repairs that represent a “slowing loop” strategy that aims to prolong the lifecycle of the luxury good. To investigate this phenomenon, we employed a methodology involving 40 interviews with luxury consumers in the United Arab Emirates (UAE), a significant luxury goods market. The findings distinguish between different types of repairs (i.e., luxury brands, luxury department stores, or independent services) and reveal three key barriers to repairs (i.e., the time frame required for the repairs, perceived inconvenience, and lack of experience/awareness). The results further point to three rational (e.g., investment value) and three emotional (e.g., inheritance value) drivers of repairs, as well as positive (e.g., pleasure or pride) and negative (e.g., compromised brand relationship) outcomes. This study contributes to the emerging literature on luxury in a circular economy by specifically examining luxury product repair context and the outcomes of luxury repairs by demonstrating that these outcomes can be either positive or negative.</p></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"82 ","pages":"Article 104055"},"PeriodicalIF":11.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136115","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":"Unveiling the drivers of satisfaction in mobile trading: Contextual mining of retail investor experience through BERTopic and generative AI","authors":"Jisu Yi ,&nbsp;Yun Kyung Oh ,&nbsp;Jung-Min Kim","doi":"10.1016/j.jretconser.2024.104066","DOIUrl":"10.1016/j.jretconser.2024.104066","url":null,"abstract":"<div><p>The proliferation of mobile stock trading has introduced various apps with distinct features, emphasizing the need to understand users' evaluations after adopting the service. This study explores the determinants of retail investors’ satisfaction with mobile stock trading services by employing an advanced textual analysis of customer reviews for four leading trading applications. We utilized Bidirectional Encoder Representations from Transformers (BERT) based Topic modeling (BERTopic modeling) to identify key topics within customer reviews and used the results as input for generative AI to discern the theme and sentiment of each topic. Based on Service Quality (SERVQUAL) theory, topics are categorized into key quality dimensions: functionality, usability, information quality, customer service, and system quality. Regression models were employed to assess the impact of the quality dimensions on investor satisfaction, revealing positive feedback on usability, information quality, and service quality as primary enhancers of satisfaction. In contrast, negative feedback on service quality, system quality, and functionality was identified as the primary inhibitor of satisfaction. This study explores how the influence of each quality dimension varies among different types of brokers (full-service vs. online-only brokerages). Finally, we propose a visualization tool called Topic Rating Impact and Frequency Analysis (TRIFA), which is designed to categorize topics based on their frequency of occurrence and impact on satisfaction. This tool aids in identifying the strengths and areas for improvement in services by effectively visualizing the results of text review analysis. This research not only deepens our understanding of the quality dimensions of mobile financial services but also offers valuable insights for service providers by suggesting predictive models that could help increase customer retention.</p></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"82 ","pages":"Article 104066"},"PeriodicalIF":11.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129310","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":"Quality-differentiated distribution strategies between live streaming and online channels","authors":"Jiqiong Liu ,&nbsp;Rui Yuan ,&nbsp;Shuai Feng ,&nbsp;Guanxiong Wang","doi":"10.1016/j.jretconser.2024.104056","DOIUrl":"10.1016/j.jretconser.2024.104056","url":null,"abstract":"<div><p>To address the challenges posed by the emergence of live streaming (LS) channels and mitigate competition among different distribution channels, manufacturers are increasingly adopting quality-differentiated distribution strategies. In this study, we develop a model involving a manufacturer and an influencer to investigate the following two potential strategies: the HL strategy (where high-quality products are marketed via the LS channel while low-quality products are marketed via the traditional online channel) and the LH strategy (where low-quality products are marketed via the LS channel while high-quality products are marketed via the traditional online channel). Moreover, we categorize products into cost-driven and demand-driven types to explore the factors that influence a manufacturer's strategic choice of different types of products. Our key insights are as follows. First, manufacturers should focus on the following two factors: product type and influencer ability. When products belong to cost-driven category and the influencer possesses high ability, implementing the LH strategy can lead to a mutually beneficial outcome for both parties. Furthermore, when the influencer's ability is low, achieving a win‒win situation for both parties becomes unattainable, regardless of the type of product. Second, the pricing of low-quality products may not necessarily be lower than that of high-quality products. When products belong to demand-driven category and the influencer's ability is high, manufacturers can set a higher price point for low-quality products when selling them through the traditional online channel. Third, the influencer exhibits varying preferences for product quality when selling different types of products. When products belong to demand-driven category, the influencer prefers selling high-quality products. Conversely, for cost-driven products, the influencer favors low-quality products. If there is a mismatch between the manufacturer's strategy and the influencer's preference, then the influencer tends to minimize its losses by reducing its LS effort. Fourth, from the perspective of consumer surplus and social welfare, our analysis reveals that the HL strategy yields a higher level of consumer surplus and contributes more to social welfare for demand-driven products; but for cost-driven products, the LH strategy emerges as the more favorable choice.</p></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"82 ","pages":"Article 104056"},"PeriodicalIF":11.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122957","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":"From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework","authors":"Rajeev Kumar Ray ,&nbsp;Amit Singh","doi":"10.1016/j.jretconser.2024.104059","DOIUrl":"10.1016/j.jretconser.2024.104059","url":null,"abstract":"<div><p>In the current landscape, smartwatches have gained popularity as wearable devices thanks to their fitness tracking and health monitoring capabilities. However, the abundance of features and options has made it challenging to select the right alternative. In this regard, we propose a text analytics-based product recommender system that leverages online reviews as peers' recommendations and creates a shortlist of available alternatives based on existing users’ perceptions. It uses a pre-trained transformer-based aspect-level sentiment analysis algorithm, InstructABSA, to quantify consumer sentiments expressed in textual reviews, which are analysed using the integrated House of Quality (HoQ) and Preference Ranking Organisation Method for Enrichment Evaluation-II (PROMETHEE-II) to construct a relative performance index for the selected manufacturers. The proposed framework may assist potential customers in making well-informed purchase decisions and help manufacturers understand their relative position in the market. It also helps customers compare the alternatives concerning selected features and associated consumer perceptions. In addition, manufacturers may use it to discover their perceived strengths and weaknesses. The proposed framework is tested on a review dataset pertaining to 12 smartwatch manufacturers, and their relative ranks are proposed.</p></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"82 ","pages":"Article 104059"},"PeriodicalIF":11.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122497","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":"Unveiling the optimal configuration of impulsive buying behavior using fuzzy set qualitative comparative analysis and multi-criteria decision approach","authors":"Alhamzah Alnoor, Sammar Abbas, Khai Wah Khaw, Yousif Raad Muhsen, XinYing Chew","doi":"10.1016/j.jretconser.2024.104057","DOIUrl":"https://doi.org/10.1016/j.jretconser.2024.104057","url":null,"abstract":"Sudden and unplanned purchasing behavior is considered impulsive buying behavior. With the increasing popularity of social commerce platforms and shopping automation, people's tendency towards impulsive purchases has grown significantly. In this connection, the role of marketing influencers has crucially impacted the customers' purchasing decisions over the last decade. This study aims to investigate the effect of marketing influencers on impulsive buying behavior. In addition, the current study addresses a critical methodological problem by highlighting the optimal configuration provided by fuzzy set qualitative comparative analysis (fsQCA) using a multi-criteria decision approach (MCDM). Based on a survey of 672 users of live streaming commerce platforms in Malaysia, we examined impulsive buying behavior from the perspective of influencer marketing, cognitive trust, and affective trust in influencer. Partial Least Squares Structural Equation Modeling (PLS-SEM) results confirmed the influence of parasocial relationship, authenticity, expertise, trustworthiness, attractiveness, and influencer–follower congruence on impulsive buying behavior through cognitive trust in influencer, affective trust in influencer, and behavioral inertia. The fsQCA results provided 15 different configurations confirming the role of marketing influencers' characteristics in impulsive buying behavior. However, fsQCA analysis is unable to determine the optimal solution or configuration. To this end, the MCDM analysis complemented the fsQCA analysis by unveiling the optimal configuration, which was the ninth configuration. Furthermore, the combination of authenticity, expertise, trustworthiness, cognitive trust, affective trust is considered a key concept to increase impulsive buying behaviour regardless of the presence of a parasocial relationship.","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"1 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201159","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":"How do online sales channels affect global product purchases? The role of CSR and cross-country differences","authors":"Changju Kim, Ha Kyung Lee, Woo Bin Kim, Ihsan Ullah Jan, Dong Il Lee, Kuang-Wen Wu","doi":"10.1016/j.jretconser.2024.104049","DOIUrl":"https://doi.org/10.1016/j.jretconser.2024.104049","url":null,"abstract":"This study aims to extend the link between online purchasability and consumers’ actual purchase behavior in the global product context by considering global companies’ social contributions and cross-country differences. Using 1033 datasets from South Korea (n = 545) and Japan (n = 488), we employed the PROCESS macro to test the moderated moderated mediation hypothesis. Our findings highlight that global companies’ social contributions strengthen the positive indirect effect of online purchasability on purchase frequency by increasing the number of items purchased. Furthermore, contrary to our prediction, Japanese consumers with a high evaluation of social contribution have a stronger positive indirect link between online purchasability and purchase frequency than South Korean consumers. We provide significant insights into the implications of online sales channel management and its strategy, highlighting the role of corporate social responsibility in better understanding the dynamics of global consumer product purchases in the context of a cross-country analysis.","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"7 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201160","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":"Encourage sustainable consumption among the elderly through generativity","authors":"Yueru Ma, Tanyuan Xing","doi":"10.1016/j.jretconser.2024.104053","DOIUrl":"https://doi.org/10.1016/j.jretconser.2024.104053","url":null,"abstract":"Generativity is closely related to sustainable consumption, and this effect is gradually reinforced as consumers age, but there is little discussion on how to utilize generativity to promote elderly's purchase intentions. Based on Consumer Culture Theory (CCT), this research analyzes the impact of generativity on the sustainable consumption of elderly when they face different consumption decisions and its intrinsic mechanisms. This research sample included 640 elderly (56 years old and above), and the results provided by two studies. Study 1 demonstrated that the incorporation of generativity information into social cues in the context of consuming for self will increase the self-expression and affiliation inspiration of elderly, which in turn increases their purchase intention. Study 2 showed that this positive effect persists in contexts where consumption decisions are considered (for next generation vs. for themselves), where elderly are more likely to buy gifts for the next generation in sustainable consumption and the mediating effects of self-expression inspiration and affiliation inspiration remain valid; this effect will be moderated by the product's typeface design, as handwritten typeface (vs. machine-written typeface) humanize the gift and enhance the presence and empathy of elderly, thus reinforcing their consumption inspiration. Theoretical insights and practical implications are discussed.","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"28 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201161","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":"A product recommendation model based on online reviews: Improving PageRank algorithm considering attribute weights","authors":"Xiaoli Wang, Chenxi Zhang, Zeshui Xu","doi":"10.1016/j.jretconser.2024.104052","DOIUrl":"https://doi.org/10.1016/j.jretconser.2024.104052","url":null,"abstract":"Consumer reviews play a crucial role in evaluating products on online e-commerce platforms. Unlike numerical ratings, online reviews provide valuable information and sentiment. However, existing studies often overlook the unique interrelationships between products on e-commerce platforms, and fail to adequately capture the psychological behavior of consumers during online shopping. To address these gaps, this study presents a novel product recommendation model based on online reviews that evaluates products’ multi-attribute performances. The study first identifies the product attributes that are most important to consumers by analyzing review texts. Then, this study calculates the attribute performance scores of each product by considering consumer sentiment and the usefulness of online reviews. Next, it identifies competitors for the target product using a weighted Euclidean distance function and ranks all products employing an improved PageRank algorithm. Finally, to illustrate the validity of the proposed model, the study conducts a case study using a dataset of 41,352 online reviews obtained from Best Buy, and segments the data into three categories according to price. Comparative results with traditional MCDM models show that among the three categories, our results achieved a maximum improvement of 18.3% in the Spearman correlation coefficient.","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"4 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201162","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":"Investigating how brand image and attitude mediate consumer susceptibility to eWOM and purchase intention: Comparing enterprise-owned vs. third-party online review websites using multigroup analysis","authors":"Sanjeev Kumar, Rajesh Rajaguru, Lin Yang","doi":"10.1016/j.jretconser.2024.104051","DOIUrl":"https://doi.org/10.1016/j.jretconser.2024.104051","url":null,"abstract":"Despite the well-recognized impact of electronic word-of-mouth (eWOM) on consumer decision-making, there is still a partial understanding of the differences integral to the platforms carrying eWOM. Underpinned by attitude contagion theory and attribution theory, the study investigates how brand attitude and brand image mediate the effect of consumer susceptibility to eWOM on purchase intention comparing the effects between enterprise-owned and third-party eWOM platforms. A self-administered online survey was conducted with 364 respondents and structural equation modelling was employed to test the relationships proposed in the study. The multigroup analysis performed using SmartPLS confirmed a significant difference between platforms. The results revealed that the indirect effect of susceptibility to eWOM on purchase intention, mediated by brand image and brand attitude, was stronger for third-party online review platforms compared to enterprise-owned platforms. This study extends the existing literature on eWOM platforms by empirically testing the different effects of two platforms on purchase intention, highlighting the critical role of third-party platforms in shaping consumer product and brand decisions. It accentuates the importance for enterprises to adapt strategies across review platforms due to varying consumer responses.","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"16 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142201163","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}