Electronic Commerce Research and Applications最新文献

Who should livestream first? Sequence of dual self-livestreaming rooms for manufacturers

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-04-01 DOI: 10.1016/j.elerap.2025.101498

Shoujie Cai , Sijie Li , Yiding Liu , Xiaohua Han

{"title":"Who should livestream first? Sequence of dual self-livestreaming rooms for manufacturers","authors":"Shoujie Cai , Sijie Li , Yiding Liu , Xiaohua Han","doi":"10.1016/j.elerap.2025.101498","DOIUrl":"10.1016/j.elerap.2025.101498","url":null,"abstract":"<div><div>Livestreaming e-commerce has emerged as a highly effective online shopping format, capturing significant attention from manufacturers and retailers. A novel variant, self-livestreaming, is gaining traction. When manufacturers conduct multiple self-livestreaming events across different platforms, each livestreaming room or streamer resonates differently with consumers. In this context, two distinct consumer segments emerge: loyal consumers and regular consumers. This study examines the dual self-livestreaming strategy adopted by manufacturers, incorporating factors including room attractiveness and consumer types to determine the optimal pricing and sequencing for three distinct livestreaming strategies: S (simultaneous livestreaming in both rooms), L (the low-attractiveness room livestreams first), and H (the high-attractiveness room livestreams first). The results reveal that a lower proportion of loyal consumers or higher room attractiveness leads to greater profits for manufacturers. Moreover, the choice of livestreaming strategy for manufacturers varies based on room attractiveness and the proportions of the two consumer types. In the extended model, we analyze the impact of operational costs on the decision to use one or two rooms, particularly when the low-attractiveness room has no loyal consumers. Specifically, we explore how room attractiveness and the proportion of regular consumers influence room adoption decisions. These insights not only provide practical operational guidance but also enrich the existing literature on self-livestreaming operations.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101498"},"PeriodicalIF":5.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

You are worth my tipping: Why do people voluntarily pay for User-Generated-Content on social media platforms?

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-30 DOI: 10.1016/j.elerap.2025.101501

Yuejun Wang , Ding Wu , Xiangbin Yan

{"title":"You are worth my tipping: Why do people voluntarily pay for User-Generated-Content on social media platforms?","authors":"Yuejun Wang , Ding Wu , Xiangbin Yan","doi":"10.1016/j.elerap.2025.101501","DOIUrl":"10.1016/j.elerap.2025.101501","url":null,"abstract":"<div><div>Social media platforms have begun to widely adopt the Pay-What-You-Want (PWYW) pricing model to sell User-Generated-Content (UGC). However, it is still under-explored why social media users voluntarily pay for UGC even if they can easily free-ride under PWYW conditions. In this paper, we theoretically derive and examine a model to understand users’ PWYW behaviors for UGC on social media. Drawing on social exchange theory, we treat perceived worth as the core antecedent and analyze the benefits and costs associated with users’ PWYW behaviors. In addition, we also propose that users’ PWYW experience and social endorsement are important contextual factors and examine their roles in shaping users’ PWYW decisions. To test the research model, we conducted an online survey study, and the results revealed two major findings. <em>First</em>, social media users mainly value the reciprocity for product and pleasure brought by PWYW behaviors but are also concerned about the perceived opportunity cost and inconvenience of e-payment process, based on which they form perceived worth that further determines their PWYW frequency. <em>Second,</em> social media users’ PWYW experience and social endorsement also influence their PWYW frequency, and the effects are partially and fully mediated by perceived worth, respectively. Our research reveals the crucial factors that motivate social media users’ PWYW engagement in UGC consumption and lays the foundation for future theoretical research and practical work.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101501"},"PeriodicalIF":5.9,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contrastive learning with adversarial masking for sequential recommendation

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-24 DOI: 10.1016/j.elerap.2025.101493

Rongzheng Xiang , Jiajin Huang , Jian Yang

{"title":"Contrastive learning with adversarial masking for sequential recommendation","authors":"Rongzheng Xiang , Jiajin Huang , Jian Yang","doi":"10.1016/j.elerap.2025.101493","DOIUrl":"10.1016/j.elerap.2025.101493","url":null,"abstract":"<div><div>Sequential recommendation is of paramount importance for predicting user preferences based on their historical interactions. Recent studies have leveraged contrastive learning as an auxiliary task to enhance sequence representations, with the goal of improving recommendation accuracy. However, an important challenge arises: random item masking, a key component of contrastive learning, while promoting robust representations through intricate semantic inference, may inadvertently distort the original sequence semantics to some extent. In contrast, methods that prioritize the preservation of sequence semantics tend to neglect the essential masking mechanism for robust representation learning. To address this issue, we propose a model called <strong>C</strong>ontrastive <strong>L</strong>earning with <strong>A</strong>dversarial <strong>M</strong>asking (CLAM) for sequential recommendation. CLAM consists of three core components: an inference module, an occlusion module, and a multi-task learning paradigm. During training, the occlusion module is optimized to perturb the inference module in both recommendation generation and contrastive learning tasks by adaptively generating item embedding masks. This adversarial training framework enables CLAM to balance sequential pattern preservation with the acquisition of robust representations in the inference module for recommendation tasks. Our extensive experiments on four benchmark datasets demonstrate the effectiveness of CLAM. It achieves significant improvements in sequential recommendation accuracy and robustness against noisy interactions.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101493"},"PeriodicalIF":5.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online reviews generated by generative artificial intelligence versus human: A study of perceived differences and user adoption behavior

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-19 DOI: 10.1016/j.elerap.2025.101497

Xusen Cheng, Ang Zeng, Bo Yang, Yu Liu, Xiaoping Zhang

{"title":"Online reviews generated by generative artificial intelligence versus human: A study of perceived differences and user adoption behavior","authors":"Xusen Cheng, Ang Zeng, Bo Yang, Yu Liu, Xiaoping Zhang","doi":"10.1016/j.elerap.2025.101497","DOIUrl":"10.1016/j.elerap.2025.101497","url":null,"abstract":"<div><div>Companies in various industries are attempting to integrate Generative Artificial Intelligence (GAI) into their existing businesses. In the e-commerce domain, GAI has shown tremendous potential in generating online reviews. However, existing literature has paid less attention to how consumers respond to GAI-generated reviews versus human-generated reviews. Moreover, little research has explored whether and why consumers are willing to use GAI to generate online reviews. By conducting two experiments, this study investigates how consumers respond differently to GAI-generated reviews versus human-generated reviews and identifies potential factors that influence consumers’ willingness to use GAI to generate reviews. Findings indicate that although there is no significant difference in consumers’ perceptions between human-generated and GAI-generated reviews in terms of review credibility, review richness, and review usefulness, only half of the participants are willing to use GAI to generate reviews. Further analysis results suggest that individuals who consider GAI unethical tend to avoid using GAI. Those with high personal innovativeness are more willing to use GAI to generate online reviews. Our findings deepen the understanding of consumer attitudes toward GAI-generated reviews and provide implications for the deployment of GAI in the online review system.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101497"},"PeriodicalIF":5.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Expert or partner: The matching effect of AI chatbot roles in different service contexts

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-17 DOI: 10.1016/j.elerap.2025.101496

Yimin Zhu, Jiaming Liang, Yujie Zhao

{"title":"Expert or partner: The matching effect of AI chatbot roles in different service contexts","authors":"Yimin Zhu, Jiaming Liang, Yujie Zhao","doi":"10.1016/j.elerap.2025.101496","DOIUrl":"10.1016/j.elerap.2025.101496","url":null,"abstract":"<div><div>Anthropomorphizing AI chatbots has become a widely adopted strategy to enhance customer-chatbot interactions. However, prior research has largely overlooked the role of social anthropomorphism, particularly how assigning different social roles to AI chatbots influences customer acceptance. To address this gap, this research investigates the impact of specific social roles across various service contexts on customer acceptance and the mechanisms underlying this effect. Through four experimental studies conducted in both field and laboratory settings, the findings consistently reveal a significant matching effect between AI chatbot roles and service contexts on customer acceptance, as well as the mediating roles of perceived competence and perceived warmth. Specifically, in utilitarian-dominant services, customers preferred expert (vs. partner) chatbots because they were perceived as more competent. Conversely, in hedonic-dominant services, customers favored partner (vs. expert) chatbots because they were perceived as warmer. These findings contribute to the understanding of customer acceptance of AI chatbots by highlighting the influence of various AI roles in different service contexts, and offer practical implications for companies to enhance the effectiveness of AI chatbots through role-matching strategies.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"71 ","pages":"Article 101496"},"PeriodicalIF":5.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of viewer-streamer-content congruence on users’ behavioral intention in virtual streaming: The moderating effect of role-playing

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-01 DOI: 10.1016/j.elerap.2025.101492

Yuangao Chen, Luonan Li, Wangyue Zhou

{"title":"Impact of viewer-streamer-content congruence on users’ behavioral intention in virtual streaming: The moderating effect of role-playing","authors":"Yuangao Chen, Luonan Li, Wangyue Zhou","doi":"10.1016/j.elerap.2025.101492","DOIUrl":"10.1016/j.elerap.2025.101492","url":null,"abstract":"<div><div>Virtual streaming, a novel and distinctive form of live streaming, has recently attracted considerable scholarly attention. However, few studies have focused on the elements that influence user behavioral intentions in virtual streaming. Based on consistency theory and dramaturgical theory, this study explores the impact of three dimensions of consistency, namely, streamer’s persona-live content congruence (PC), viewer’s interest-live content congruence (IC), and viewer’s value-streamer’s value congruence (VE), on immersion, attitude, and user behavioral intentions, as well as the moderating effect of role-playing ability. The research model is built combining literature analysis and semi-structured interviews, while empirical research is conducted based on the survey data of virtual streaming users. The results indicate that IC and VE exert a positive effect on users’ immersion, which in turn positively affects their attitude and behavioral intentions. Furthermore, the role-playing ability of virtual streamers positively moderates the relationship between IC and immersion, whereas it negatively moderates the relationship between PC and immersion. This study provides theoretical insights on virtual streaming and contributes managerial implications for practitioners.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101492"},"PeriodicalIF":5.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sharing economy and quality competition among traditional service providers

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-03-01 DOI: 10.1016/j.elerap.2025.101490

Tiziana D’Alfonso , Esther Gal-Or , Paolo Roma

{"title":"Sharing economy and quality competition among traditional service providers","authors":"Tiziana D’Alfonso , Esther Gal-Or , Paolo Roma","doi":"10.1016/j.elerap.2025.101490","DOIUrl":"10.1016/j.elerap.2025.101490","url":null,"abstract":"<div><div>We investigate the impact of the sharing economy on the quality of service offered by traditional businesses in the hospitality industry, on their profitability, and on societal welfare. We conduct the investigation in a market consisting of two different quality class hotels (high and low) prior to the entry of a peer-to-peer lodging platform and a population of consumers having different income levels. We find that for relatively poor economies, the sharing economy leads to higher prices, quality, and profits for both low and high class hotels. In contrast, the sharing economy may be detrimental to both hotels for relatively rich economies. In other cases, the sharing economy may introduce different effects on the behavior and fortunes of different classes of incumbent lodging suppliers. For instance, price and quality of low class accommodations may decline, whereas, interestingly, the price of high class accommodations may rise upon the emergence of a sharing platform, in spite of a decrease in quality. Moreover, while the sharing economy unambiguously increases aggregate consumer welfare, there are instances when consumers choosing high class accommodations are worse off after the entry of the sharing platform. Finally, we find that the total societal welfare does not always increase.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101490"},"PeriodicalIF":5.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Apologizing with a smile or crying face? Exploring the impact of emoji types on customer forgiveness within chatbots service recovery

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-21 DOI: 10.1016/j.elerap.2025.101488

Chenze Xie, Junhong Zhu, Yuguang Xie, Changyong Liang

{"title":"Apologizing with a smile or crying face? Exploring the impact of emoji types on customer forgiveness within chatbots service recovery","authors":"Chenze Xie, Junhong Zhu, Yuguang Xie, Changyong Liang","doi":"10.1016/j.elerap.2025.101488","DOIUrl":"10.1016/j.elerap.2025.101488","url":null,"abstract":"<div><div>While advancements in AI have facilitated the uptake of chatbots across a range of sectors, incidents of service failures have been documented in numerous instances involving chatbot users. In this context, it is of paramount importance for chatbots to adopt appropriate service recovery strategies in order to mitigate and minimise the negative impact of chatbots failures. This research proposes that the use of emojis by chatbots when apologising represents an effective strategy for the recovery of customers following the occurrence of online service failures. The results of three scenario-based experiments indicated that the use of negative emojis by chatbots was more likely to result in customer forgiveness than the use of positive emojis, provided that the severity of the service failure was low. Moreover, the utilisation of negative emojis by chatbots fosters customer forgiveness by enhancing perceived empathy, whereas the deployment of positive emojis has the opposite impact by increasing perceived ambiguity. These findings provide crucial guidance for online retailers in the design of chatbot customer service strategies, emphasizing the pivotal role of subtle emoji differences in attaining customer forgiveness.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101488"},"PeriodicalIF":5.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-21 DOI: 10.1016/j.elerap.2025.101491

Sang-Hyeak Yoon , Sung-Byung Yang , So-Hyun Lee

{"title":"Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach","authors":"Sang-Hyeak Yoon , Sung-Byung Yang , So-Hyun Lee","doi":"10.1016/j.elerap.2025.101491","DOIUrl":"10.1016/j.elerap.2025.101491","url":null,"abstract":"<div><div>Recent advancements in artificial intelligence (AI), particularly in generative AI (GAI), have significantly influenced society, prompting extensive discussions about their societal impact. While previous research has acknowledged both the benefits and challenges of AI, the rapid development of GAI has often proceeded without sufficient focus on actionable strategies to address potential risks and unintended consequences. Understanding both the positive and negative aspects of GAI is essential to ensure that technological progress is balanced and responsibly managed to mitigate potential risks and societal harm. This study identifies the positive and negative aspects of GAI from both public and expert viewpoints by applying a valence framework. Using a mixed-methods approach that integrates joint sentiment topic (JST) modeling with the combined use of ChatGPT and expert interviews, we investigated the key positive and negative factors associated with GAI. By integrating the insights gained from these different perspectives, the study proposes strategies for the effective and responsible use of GAI. The study contributes to the existing body of knowledge on GAI by offering a comprehensive understanding of its implications and providing guidance for its ethical and appropriate applications.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101491"},"PeriodicalIF":5.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trust as the catalyst: Transforming perceived to created value in blockchain traceability

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-20 DOI: 10.1016/j.elerap.2025.101487

Liwei Pan , Xianpei Hong

{"title":"Trust as the catalyst: Transforming perceived to created value in blockchain traceability","authors":"Liwei Pan , Xianpei Hong","doi":"10.1016/j.elerap.2025.101487","DOIUrl":"10.1016/j.elerap.2025.101487","url":null,"abstract":"<div><div>Configuring and maintaining blockchain traceability systems incurs significant costs. Thus, understanding how firms can derive value from consumers through blockchain traceability is essential. We present a model that demonstrates how consumer-perceived technology value transforms into created value for firms, with trust acting as a catalyst. Our evaluation of the perceived value of blockchain traceability focuses on the sacrifices and benefits recognized by consumers. Analysis of 501 survey responses reveals that perceived price and the risk of data falsification are sacrifices that negatively impact perceived technology value. In contrast, the perceived quality of agri-food serves as a perceived benefit that enhances this perception. Furthermore, perceived value influences consumers’ intentions to repurchase and recommend, technology trust and brand trust are key enablers, highlighting a trust transfer effect from technology to brand. This study contributes to understanding technology adoption and customer relationship management in agricultural enterprises. By emphasizing trust as the catalyst, it provides valuable insights into leveraging blockchain traceability to create sustainable value for businesses.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101487"},"PeriodicalIF":5.9,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0