Electronic Commerce Research and Applications最新文献_第3页

Online reviews generated by generative artificial intelligence versus human: A study of perceived differences and user adoption behavior 生成式人工智能与人类生成的在线评论：感知差异和用户采用行为的研究

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 专家或合作伙伴：AI聊天机器人角色在不同服务环境中的匹配效果

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 观众-流媒体-内容一致性对虚拟流媒体用户行为意向的影响：角色扮演的调节作用

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 共享经济与传统服务提供商的质量竞争

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 笑着道歉还是哭着道歉？在聊天机器人服务恢复中探索表情符号类型对客户宽恕的影响

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 生成式人工智能服务的光明和黑暗的全面检查：混合方法的方法

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 作为催化剂的信任：将感知到的价值转化为区块链可追溯性中的创造价值

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

Circular economy in post consumption network: The role of re-commerce groups in social media platforms 后消费网络中的循环经济：社交媒体平台中电商群体的作用

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-20 DOI: 10.1016/j.elerap.2025.101489

Ying Xie , Saleh Md Arman , Chang Su

引用次数: 0

Detecting fake review intentions in the review context: A multimodal deep learning approach 在评论语境中检测虚假评论意图：一种多模态深度学习方法

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-05 DOI: 10.1016/j.elerap.2025.101485

Jingrui Hou , Zhihang Tan , Shitou Zhang , Qibiao Hu , Ping Wang

{"title":"Detecting fake review intentions in the review context: A multimodal deep learning approach","authors":"Jingrui Hou , Zhihang Tan , Shitou Zhang , Qibiao Hu , Ping Wang","doi":"10.1016/j.elerap.2025.101485","DOIUrl":"10.1016/j.elerap.2025.101485","url":null,"abstract":"<div><div>The proliferation of fake reviews on the internet has had significant repercussions for both consumers and businesses. However, existing research predominantly employs a binary classification approach to ascertain review authenticity, often neglecting the rich multimodal context information and nuanced intentions embedded within them. To bridge this gap, our study introduces a novel task, Fake Review Intention Detection in Review Context (FRIDRC), which aims to detect fake review intentions by leveraging both textual and visual information, and constructs a dataset comprising both manually and AI-generated fake reviews. Additionally, we develop a predictive framework encompassing modules for multimodal representation and modality fusion. These modules, while independent, are synergistic and effectively tackle the challenge of discerning fake review intentions. Our framework demonstrates outstanding performance, achieving an average F1 score exceeding 0.97 and a Macro F1 score surpassing 0.96 in this task and outperforming advanced pre-trained models. This research not only presents an effective methodology for accurately identifying and addressing fake review intentions but also underscores the efficacy of leveraging multimodal review context information in fake review detection. The dataset and code implementation are publicly available for further research.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101485"},"PeriodicalIF":5.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376710","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

DP-SGD-global-adapt-V2-S: Triad improvements of privacy, accuracy and fairness via step decay noise multiplier and step decay upper clipping threshold dp - sgd -global- adaptive - v2 - s：通过阶跃衰减噪声乘法器和阶跃衰减截波上限阈值对保密性、准确性和公平性进行三重改进

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-02-04 DOI: 10.1016/j.elerap.2025.101476

Sai Venkatesh Chilukoti , Md Imran Hossen , Liqun Shan , Vijay Srinivas Tida , Mahathir Mohammad Bappy , Wenmeng Tian , Xiali Hei

{"title":"DP-SGD-global-adapt-V2-S: Triad improvements of privacy, accuracy and fairness via step decay noise multiplier and step decay upper clipping threshold","authors":"Sai Venkatesh Chilukoti , Md Imran Hossen , Liqun Shan , Vijay Srinivas Tida , Mahathir Mohammad Bappy , Wenmeng Tian , Xiali Hei","doi":"10.1016/j.elerap.2025.101476","DOIUrl":"10.1016/j.elerap.2025.101476","url":null,"abstract":"<div><div>Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately, DP-SGD’s per-sample gradient clipping and uniform noise addition during training can significantly degrade model utility and fairness. We observe that the latest DP-SGD-Global-Adapt’s average gradient norm is the same throughout the training. Even when it is integrated with the existing linear decay noise multiplier, it has little or no advantage. Moreover, we notice that its upper clipping threshold increases exponentially towards the end of training, potentially impacting the model’s convergence. Other algorithms, DP-PSAC, Auto-S, DP-SGD-Global, and DP-F, have utility and fairness that are similar to or worse than DP-SGD, as demonstrated in experiments. To overcome these problems and improve utility and fairness, we developed the DP-SGD-Global-Adapt-V2-S. It has a step-decay noise multiplier and an upper clipping threshold that is also decayed step-wise. DP-SGD-Global-Adapt-V2-S with a privacy budget (<span><math><mi>ϵ</mi></math></span>) of 1 improves accuracy by 0.9795%, 0.6786%, and 4.0130% in MNIST, CIFAR10, and CIFAR100, respectively. It also reduces the privacy cost gap (<span><math><mi>π</mi></math></span>) by 89.8332% and 60.5541% in unbalanced MNIST and Thinwall datasets, respectively. Finally, we develop mathematical expressions to compute the privacy budget using truncated concentrated differential privacy (tCDP) for DP-SGD-Global-Adapt-V2-T and DP-SGD-Global-Adapt-V2-S.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101476"},"PeriodicalIF":5.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332282","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