Electronic Commerce Research and Applications最新文献_第9页

How perceived justice leads to stickiness to short-term rental platforms: Unveiling the effect of relationship commitment and trust 感知到的公正如何导致对短租平台的粘性：揭示关系承诺和信任的影响

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-09 DOI: 10.1016/j.elerap.2024.101422

Xusen Cheng , Xiaowen Huang , Bo Yang , Shan Chen , Yijun Yan

引用次数: 0

Improved negative sampling method in collaborative filtering recommendation based on Generative adversarial network 基于生成式对抗网络的协同过滤推荐中的改进负抽样方法

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-01 DOI: 10.1016/j.elerap.2024.101412

Mingjie Li , Yunhan Liu , Weiwei Jiang , Yuxuan Zhu , Jiuchuan Jiang , Mingfeng Jiang , Shuqing Li

{"title":"Improved negative sampling method in collaborative filtering recommendation based on Generative adversarial network","authors":"Mingjie Li , Yunhan Liu , Weiwei Jiang , Yuxuan Zhu , Jiuchuan Jiang , Mingfeng Jiang , Shuqing Li","doi":"10.1016/j.elerap.2024.101412","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101412","url":null,"abstract":"<div><h3>Objective</h3><p>The problem of low model performance caused by the lack of negative samples in the recommendation method based on implicit feedback information can be solved.</p></div><div><h3>Methods</h3><p>The implicit feedback recommendation model DAEGAN is constructed based on the conditional generative adversarial network framework. The Denoising Auto-Encoder is used as a generator to capture nonlinear potential factors in the interaction and improve the robustness of model. In this paper, a strong and weak negative sampling strategy is proposed, which combines the visibility of user in time points to mine uninteresting items and acquire strong negative samples, and injects these information into the model by modifying the masking mechanism to solve the problem of missing negative samples.</p></div><div><h3>Results</h3><p>Experiments on MovieLens 100 K, Amazon Movie and TV, MovieLens 1 M datasets show that the recommendation accuracy of CFGAN based on strong and weak negative sampling and DAEGAN proposed in this paper has been improved.</p></div><div><h3>Limitations</h3><p>The generation of strong negative samples is based on user interaction records, which cannot solve effectively cold start problems in extremely sparse data.</p></div><div><h3>Conclusions</h3><p>After DAEGAN application, the strong and weak negative sampling method proposed in this paper has generally higher recommendation accuracy than those mainstream recommendation algorithms. The code is available at <span>https://github.com/nanjingzhuyuxuan/DAEGAN</span><svg><path></path></svg>.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"66 ","pages":"Article 101412"},"PeriodicalIF":6.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141250177","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

Research on the joint event extraction method orientates food live e-commerce 联合事件提取方法研究以食品直播电子商务为导向

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-22 DOI: 10.1016/j.elerap.2024.101413

DianHui Mao , YiMing Liu , RuiXuan Li , JunHua Chen , YuanRong Hao , JianWei Wu

{"title":"Research on the joint event extraction method orientates food live e-commerce","authors":"DianHui Mao , YiMing Liu , RuiXuan Li , JunHua Chen , YuanRong Hao , JianWei Wu","doi":"10.1016/j.elerap.2024.101413","DOIUrl":"10.1016/j.elerap.2024.101413","url":null,"abstract":"<div><p>In the evolving landscape of food e-commerce live streaming, the profusion of textual data, marked by an excess of promotional vernacular and unstructured formats, presents a formidable challenge for event extraction. Addressing these hurdles, we introduce a tailored ontology-based method alongside FMLEE (Food Marketing Live Event Extraction), a joint event extraction algorithm. This approach simplifies the event identification process through meticulous segmentation and the development of an ontology comprising 5 event categories and 19 argument roles. By integrating context-aware embeddings derived from pre-trained language models and applying an adversarial learning tactic, our methodology not only bolsters the robustness of our model but also significantly refines its accuracy in discerning relevant events within the scarce-resource milieu of food live streaming promotions. The effectiveness of the FMLEE model is validated by its achievement of an F1 score of 73.05%, with the inclusion of adversarial learning contributing to a 2.61% enhancement in performance. This evidences our novel contribution to the domain, offering robust technical support for the optimal exploitation of information within the sphere of food live streaming promotions. Simultaneously, this aids in the investigation of innovative applications for consumer engagement within marketing strategies and the smart regulation of marketing activities.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"66 ","pages":"Article 101413"},"PeriodicalIF":6.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141142768","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

Optimization of hybrid delivery by vehicle and drones 优化车辆和无人机的混合配送

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-22 DOI: 10.1016/j.elerap.2024.101411

Qiuchen Gu , Tijun Fan , Wanke Han

引用次数: 0

Information transmit strategy of e-commerce platform with financially constrained supplier 供应商财务受限的电子商务平台的信息传递策略

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-20 DOI: 10.1016/j.elerap.2024.101415

Zhaobo Chen , Xin Li , Chunying Tian , Zhenzhen Shen

{"title":"Information transmit strategy of e-commerce platform with financially constrained supplier","authors":"Zhaobo Chen , Xin Li , Chunying Tian , Zhenzhen Shen","doi":"10.1016/j.elerap.2024.101415","DOIUrl":"10.1016/j.elerap.2024.101415","url":null,"abstract":"<div><p>A signaling game model is constructed in the framework of a supply chain system consisting of a financially constrained supplier and an e-commerce platform acting as marketplace and a creditor simultaneously. The primary concern of this work is to investigate how the e-commerce platform, which has superior information about market demand, indirectly communicates this information to the financially constrained supplier through its marketing efforts. Under both separating and pooling equilibria, the decisions and profits of each member of the supply chain are firstly considered. Furthermore, using an “intuitive criterion”, the e-commerce platform’s dominant strategy and its influencing factors are analyzed. The results show that when there is a significant difference in the marginal marketing costs, the platform tends to choose the separating equilibrium. When the difference in marginal marketing costs is relatively slight, the e-commerce platform’s dominant strategy depends on the capital of the supplier and the level of market demand fluctuations. Specifically, the e-commerce platform will select the pooling equilibrium when market demand fluctuations are minimal, but the platform will select the separating equilibrium when market demand fluctuations are substantially large. If the supplier’s capital is increased within a certain range, the e-commerce platform is more motivated to select the pooling equilibrium. In addition, the platform usage fee ratio, the platform loan interest rate and the supplier’s prior beliefs are important factors influencing the platform’s decision.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"66 ","pages":"Article 101415"},"PeriodicalIF":6.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141145547","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

Video platforms’ advertising and pricing decisions in the presence of derivative videos 视频平台在出现衍生视频时的广告和定价决策

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-01 DOI: 10.1016/j.elerap.2024.101405

Xueyu Liu, Shue Mei, Weijun Zhong

引用次数: 0

Mentor or partner: Matching effect of para-social interaction and product type on purchase intention in live-streaming commerce 导师还是伙伴？准社交互动和产品类型对直播商务中购买意向的匹配效应

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-01 DOI: 10.1016/j.elerap.2024.101410

Rong Liu , Lulong Li , Zhihua Ding

{"title":"Mentor or partner: Matching effect of para-social interaction and product type on purchase intention in live-streaming commerce","authors":"Rong Liu , Lulong Li , Zhihua Ding","doi":"10.1016/j.elerap.2024.101410","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101410","url":null,"abstract":"<div><p>Live-streaming commerce differs from traditional e-commerce by bringing consumers and sellers closer together, enhancing the perception of para-social interaction through real-time interactivity. Based on para-social interaction theory, this study proposed two types of para-social interaction: mentor-oriented and partner-oriented. And explored the impact of para-social interaction and product type on purchase intention, mediated by trust. Additionally, this research examined the moderating influence of individual construal level, in combination with the construal level theory. The results of three scenario experiments showed that mentor-oriented para-social interaction promotes purchase intention more than partner-oriented para-social interaction when purchasing utilitarian products. However, partner-oriented para-social interaction promotes purchase intention more than mentor-oriented para-social interaction in the purchase decision of hedonic products. In addition, the construal level moderates the matching impact of para-social interaction and products type on purchase intention. Studying from para-social interaction type perspective, this paper provided insights into the research of consumption behavior in the field of live-streaming commerce and marketing.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"65 ","pages":"Article 101410"},"PeriodicalIF":6.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140947028","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

How extended reality influences e-commerce consumers: A literature review 扩展现实如何影响电子商务消费者：文献综述

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-01 DOI: 10.1016/j.elerap.2024.101404

Hong Chen, Hongxiu Li, Henri Pirkkalainen

{"title":"How extended reality influences e-commerce consumers: A literature review","authors":"Hong Chen, Hongxiu Li, Henri Pirkkalainen","doi":"10.1016/j.elerap.2024.101404","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101404","url":null,"abstract":"<div><p>Extended reality (XR) has attracted the attention of both scholars and practitioners, and the literature addressing XR in the e-commerce context has expanded. Based on the reviewed literature, the current study applied a systematic literature review method to investigate XR use in e-commerce at the individual-consumer level. It aimed to holistically explain how XR use affects individual consumers in B2C e-commerce. The screening of 71 selected peer-reviewed journal articles that had been published since 2000 enabled the current research to identify which factors affect XR use in B2C e-commerce for individual consumers. Specifically, this study analyzed the effects of stimuli on consumers’ cognitive, emotional, attitudinal, and behavioral responses to XR-based e-commerce and the interacting effects among technological, consumer, and product-related factors. Based on the literature review’s findings, an integrated framework is proposed to explain how XR influences individual e-commerce consumers, and four avenues for future research are recommended. This study provides scholars with a holistic understanding of how XR affects consumers in B2C e-commerce at the individual level. It also provides e-commerce practitioners with useful guidelines concerning consumer experience management in XR-based online shopping.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"65 ","pages":"Article 101404"},"PeriodicalIF":6.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1567422324000498/pdfft?md5=956f15f02f7eda5c2fe65e254c4bb40e&pid=1-s2.0-S1567422324000498-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140815768","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

Graphic or short video? The influence mechanism of UGC types on consumers' purchase intention—Take Xiaohongshu as an example 图文还是短视频？UGC类型对消费者购买意向的影响机制--以小红书为例

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-01 DOI: 10.1016/j.elerap.2024.101402

Min Qin , Shanshan Qiu , Yu Zhao , Wei Zhu , Shuqin Li

{"title":"Graphic or short video? The influence mechanism of UGC types on consumers' purchase intention—Take Xiaohongshu as an example","authors":"Min Qin , Shanshan Qiu , Yu Zhao , Wei Zhu , Shuqin Li","doi":"10.1016/j.elerap.2024.101402","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101402","url":null,"abstract":"<div><p>This study explores the effect of user-generated content (UGC) on consumer behavior and investigates how different types of UGC affect consumer purchase intention. The research model was constructed based on media richness theory (MRT), dual coding theory (DCT), and construal level theory (CLT), with the social media and e-commerce platform, Xiaohongshu, serving as the research object. Through five experiments, this study investigates the effect of graphic and short video UGC on consumer purchase intention and explores the mediating effects of perceived psychological distance and perceived value as well as the moderating roles of different UGC creators and experiential disclosure. The findings reveal that short video UGC generates a stronger purchase intention than graphic UGC, and that perceived value acts as a mediator between the type of UGC and purchase intention. Perceived psychological distance mediates the type of UGC and perceived value. Additionally, the type of UGC creator and disclosure of experiential information influence consumer purchase decisions across different contexts. These findings enrich our understanding of the conditions under which the type of UGC affects purchase intention. Our research contributes theoretically to our understanding of how UGC influences consumer purchase intention and, practically, by offering insights for e-commerce development.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"65 ","pages":"Article 101402"},"PeriodicalIF":6.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140815769","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

Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce 社交电子商务中基于多维特征互惠互动的好友和商品联合推荐

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-05-01 DOI: 10.1016/j.elerap.2024.101406

Wei Zhou , Feipeng Guo , Huijian Xu , Zhaoxiang Wang

{"title":"Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce","authors":"Wei Zhou , Feipeng Guo , Huijian Xu , Zhaoxiang Wang","doi":"10.1016/j.elerap.2024.101406","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101406","url":null,"abstract":"<div><p>Social e-commerce platforms need to undertake the two core tasks of recommending potential social friends and preferred consumption items for users. However, the use of traditional one-dimensional information is no longer able to accurately make personalized recommendations. Early scholars have confirmed that users’ social and consumption behaviors do not exist independently: users with the same interests are more likely to become friends, and there is a high probability of similar consumption behaviors among friends. In this paper, we propose a joint friend and item recommendation model based on multidimensional feature reciprocal interaction (MFRI). Which is based on the user’s social friends and item preference information, extracts the shallow and deep features of the user’s social and consumption behaviors, and utilizes the reciprocity between unusual behaviors to achieve mutual enhancement. The reciprocity between shallow and deep features in similar behaviors is also explored based on the attention mechanism, and the model is trained by a joint loss function. We conducted experiments on real datasets, and the results confirm the effectiveness and robustness of MFRI for potential friend and preference item recommendations.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"65 ","pages":"Article 101406"},"PeriodicalIF":6.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140918980","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