Electronic Commerce Research and Applications最新文献_第2页

A comparative study of various recommendation algorithms based on E-commerce big data 基于电子商务大数据的各种推荐算法比较研究

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101461

Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang

{"title":"A comparative study of various recommendation algorithms based on E-commerce big data","authors":"Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang","doi":"10.1016/j.elerap.2024.101461","DOIUrl":"10.1016/j.elerap.2024.101461","url":null,"abstract":"<div><div>With the rapid development of the Internet and the concomitant exponential growth of information, we have entered an era characterized by information overload. The abundance of data has rendered it increasingly arduous for users to pinpoint specific information they require. However, various forms of recommendation algorithms proffer solutions to this challenge. These algorithms predict items or products that may pique users’ interest based on their historical behavior, preferences, and interests. As one of the current hot research fields, recommendation algorithms are extensively employed across E-commerce platforms, movie streaming services, and various other contexts to cater to the diverse needs of users. In this context, a multi-recommendation algorithms comparison platform is proposed, which includes a two-fold model: online evaluation and offline evaluation. Taking the data set of the Chinese Amazon online shopping mall as the experimental data, item-based collaborative filtering (Item-CF) algorithm, content-based (TF-IDF) algorithm, item2vec model, alternating least squares (ALS) algorithm and neural network algorithm are evaluated in the offline model. In the real-time recommendation part, model-based algorithm is used to achieve the users’ rating mechanism. And the metrics used for evaluation include: precision, recall, accuracy and performance. The experimental results show that the average performance of hybrid algorithms such as ALS algorithm and neural network algorithm is higher than that of other traditional algorithms, and the real-time recommendation system achieves the purpose of improving recommendation speed. By integrating various recommender algorithms into the multi-recommendation algorithms comparison platform, this platform automatically computes and presents various performance indicators based on the user-provided dataset. It aids E-commerce platforms in making informed decisions regarding algorithm selection.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101461"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656672","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

Whether and how to adopt live streaming Selling: A perspective on interaction value creation 是否以及如何采用直播销售：互动价值创造视角

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101464

Yanfen Zhang, Qi Xu

{"title":"Whether and how to adopt live streaming Selling: A perspective on interaction value creation","authors":"Yanfen Zhang, Qi Xu","doi":"10.1016/j.elerap.2024.101464","DOIUrl":"10.1016/j.elerap.2024.101464","url":null,"abstract":"<div><div>As live streaming selling continues to be an emerging channel with many uncertainties, brand manufacturers must adopt a deliberate approach to utilize this medium and develop their capabilities effectively. This study examines the adoption of live streaming selling by considering customers interacting with the streamer in real-time to acquire more product information and additional interaction value. Three sales models are constructed: the traditional selling channel (Model T), the live streaming selling channel (Model L), and the dual channel that combines traditional selling and live streaming selling (Model TL). The impact of live streaming selling on value creation is revealed through a comparative analysis. Finally, as an extension model, we consider the scenario where manufacturers pay streamers different commissions based on actual market demands. The results show that adopting live streaming selling depends on the commission and operating costs of live streaming. When the commission paid to the streamer is low, contemplating live streaming selling can create more value for all parties. When the commission is moderate, the manufacturer should adopt the dual channel of traditional selling and live streaming selling to create more value. Conversely, when the commission and operating costs are high, adopting live streaming selling is not recommended. Furthermore, when market demand is high, manufacturers achieve greater profits by paying streamers a fixed commission. Conversely, when market demand is low, manufacturers gain higher profits by paying streamers different commissions based on actual market demand.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101464"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656640","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

Physical stores versus physical showrooms: Channel structures of online retailers 实体店与实体陈列室：在线零售商的渠道结构

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101458

Hongzhen Lai , Yanju Zhou , Xiaohong Chen , Guiping Li

{"title":"Physical stores versus physical showrooms: Channel structures of online retailers","authors":"Hongzhen Lai , Yanju Zhou , Xiaohong Chen , Guiping Li","doi":"10.1016/j.elerap.2024.101458","DOIUrl":"10.1016/j.elerap.2024.101458","url":null,"abstract":"<div><div>To meet consumers’ expectations for experiential shopping, an increasing number of online retailers are expanding offline channels, with physical showrooms and physical showrooms emerging as the two most popular offline channel modes. Both channels can match consumers’ demand for on-site experiences. However, the two modes differ in terms of service cost, demand promotion efficiency, and channel differentiation generation. The article considers three channel structures: single online channel, online channel with physical store, and online channel with physical showroom, as well as two scenarios: non-competitive and competitive. This study examines whether online retailers should integrate offline channels and which offline channel mode they should use by comparing the profit changes of themselves and rivals when three channel structures are adopted in two scenarios. It is found that: (i) If there is a significant difference between the online and physical store channels, providing physical stores help online retailer raise profits. If the physical showroom is highly effective at promoting demand, omnichannel retailers will dominate the entire online market, and expanding physical showrooms is always profitable; (ii) Whether in a competitive or non-competitive environment, online retailers should weigh channel differentiation and the efficiency of the offline channel modes in promoting demand to select the best channel mode; (iii) Due to channel differentiation, online retailers’ creation of physical stores, as well as increasing competition among physical stores, will have no impact on rival retailers. However, providing physical showrooms will result in lower sales volume and revenue for rival retailers.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101458"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586844","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

Solving the green reverse logistics problem in e-commerce using a reinforcement learning based genetic algorithm 使用基于强化学习的遗传算法解决电子商务中的绿色逆向物流问题

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-10-18 DOI: 10.1016/j.elerap.2024.101455

Min-Yang Li, Fang-Yu Shih

引用次数: 0

Incentive strategies of an e-tailer considering online reviews: Rebates or services 考虑到在线评论的网络零售商的激励战略：回扣或服务

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-25 DOI: 10.1016/j.elerap.2024.101453

Qing Zhang , Tiaojun Xiao

引用次数: 0

What drives user interest and purchase of virtual 3D assets? An empirical investigation of 3D model attributes and pricing dynamics 是什么驱动了用户对虚拟 3D 资产的兴趣和购买？对 3D 模型属性和定价动态的实证调查

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-24 DOI: 10.1016/j.elerap.2024.101452

Jakob J. Korbel , Marc Riar , Thorsten Pröhl , Rüdiger Zarnekow

{"title":"What drives user interest and purchase of virtual 3D assets? An empirical investigation of 3D model attributes and pricing dynamics","authors":"Jakob J. Korbel , Marc Riar , Thorsten Pröhl , Rüdiger Zarnekow","doi":"10.1016/j.elerap.2024.101452","DOIUrl":"10.1016/j.elerap.2024.101452","url":null,"abstract":"<div><div>Virtual 3D assets, i.e., 3D models that form the basis of virtual environments, products, and goods, are essential for the creation of a future metaverse. However, we have limited knowledge about the market dynamics in which virtual 3D assets are traded and the indicators that influence their value and pricing − and thus the purchasing mechanisms. The present study draws on multi-attribute utility and value- and competition-informed pricing theory to determine what drives the purchase of virtual 3D assets using secondary data from the marketplace Sketchfab. The empirical analysis indicates that the sellers’ value perception of virtual 3D assets contradicts the users’ interest and that organizational sellers outperform individual sellers by relying to a higher degree on competition- and value-informed pricing. Based on our findings, we identify implications for both organizational and individual sellers to refine their pricing strategies in accordance with the unique dynamics of 3D virtual asset marketplaces.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101452"},"PeriodicalIF":5.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357685","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

Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework 可解释的时尚兼容性预测：属性增强神经框架

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-14 DOI: 10.1016/j.elerap.2024.101451

Yi Li , Suyang Yu , Yulin Chen , Yuanchun Jiang , Kun Yuan

{"title":"Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework","authors":"Yi Li , Suyang Yu , Yulin Chen , Yuanchun Jiang , Kun Yuan","doi":"10.1016/j.elerap.2024.101451","DOIUrl":"10.1016/j.elerap.2024.101451","url":null,"abstract":"<div><p>Grasping complementary relationships between fashion product pairings is gaining increasing attention in the e-commerce field. Current methods primarily utilize visual cues to assess compatibility, which, despite their efficacy, often lack sufficient explainability. Meanwhile, the rich semantic details embedded in product attributes remain largely unexplored. To tackle this, we propose a novel framework called Explainable Attribute-augmented Neural framework (EAN), which integrates comprehensive attribute and visual data, enabling explainability in fashion product compatibility modeling. We conduct quantitative and qualitative experiments to demonstrate the effectiveness and explainability of our proposed framework. The practical significance of our research is twofold. Firstly, it helps consumers understand the underlying reasons for fashion item pairings, thereby assisting them in refining their dressing combinations. Secondly, it provides novel perspectives for product design and assists e-commerce platforms in creating more effective product marketing combinations.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101451"},"PeriodicalIF":5.9,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241246","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

Using social Cognitive theory to reengage dormant users in question and answer Communities: A case study of active StackOverflow participants 利用社会认知理论让休眠用户重新参与问答社区：对 StackOverflow 活跃参与者的案例研究

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-14 DOI: 10.1016/j.elerap.2024.101450

Sohaib Mustafa , Wen Zhang , Muhammad Mateen Naveed , Dur e Adan

{"title":"Using social Cognitive theory to reengage dormant users in question and answer Communities: A case study of active StackOverflow participants","authors":"Sohaib Mustafa , Wen Zhang , Muhammad Mateen Naveed , Dur e Adan","doi":"10.1016/j.elerap.2024.101450","DOIUrl":"10.1016/j.elerap.2024.101450","url":null,"abstract":"<div><p>Online question-and-answer communities are seriously threatened by low user participation. There is currently a rare comprehensive study on the knowledge contribution pattern of consistently active participants and the moderating role of peer recognition, which can help improve low participation and reengage inactive users, despite researchers having examined the various facets of knowledge contribution and made helpful suggestions. As per the self-determination and social cognitive theory, the communal environment impacts peers and imitates role models or reliable sources in their involvement patterns. We have examined StackOverflow’s most reliable active users from 2010 to 2020 using the social cognition and self-determination theories to use the findings to reactivate dormant users. We have used a two-step dynamic system GMM model to get robust and reliable findings. The research discovered that peer repudiation, reputation, and online social interactions favorably affect the contributed knowledge. However, knowledge-seeking and earning virtual badges such as gold and bronze usually negatively impact it. Furthermore, it was revealed that the effect of virtual badges on contributed knowledge was positively moderated by peer recognition. However, peer recognition reduces the benefits of social interaction and reputation on the contributed knowledge. The study’s findings advance the body of knowledge and provide thorough management implications for raising low participation, reengaging inactive users, and cultivating a culture of innovative sharing of knowledge.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101450"},"PeriodicalIF":5.9,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241245","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

Carbon emission reduction and channel development strategies under government subsidy and retailers’ fairness concerns 政府补贴下的碳减排和渠道发展战略与零售商的公平关切

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-05 DOI: 10.1016/j.elerap.2024.101447

Jun Qiu , Xun Xu , Yuxiang Yang

{"title":"Carbon emission reduction and channel development strategies under government subsidy and retailers’ fairness concerns","authors":"Jun Qiu , Xun Xu , Yuxiang Yang","doi":"10.1016/j.elerap.2024.101447","DOIUrl":"10.1016/j.elerap.2024.101447","url":null,"abstract":"<div><div>In response to the global challenge of climate change, governments have formulated low-carbon subsidy policies (LCSPs) to promote low-carbon development. Governments commonly subsidize manufacturers’ carbon emission reduction (CER) but may incur retailers’ fairness concerns. Considering this situation, in this paper, we model a two-level dual-channel supply chain consisting of a manufacturer and a retailer under the government’s LCSPs. We use a game theoretical approach to analyze the internal relationship between LCSPs, online channel share, and retailer’s fairness concerns. Further, we discuss the incentives for manufacturers and retailers to develop online channels. We find that regardless of the channel structure, increasing subsidies does not mitigate the negative impact of retailers’ fairness concerns on the supply chain. Whether expanding online channels can reduce the negative effect of retailers’ fairness concerns on the supply chain depends on both the channel structure and the carbon coefficient. By comparing models, we find that manufacturers or retailers developing online channels can improve CER, with the highest CER achieved in Model M, generating high profits for manufacturers. Whether retailers developing online channels will harm manufacturers’ profit depends on the size of the online channel share. The findings of our study provide a guide for supply chain participants to make the optimal carbon emission and channel development strategies when facing government subsidies and having fairness concerns.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101447"},"PeriodicalIF":5.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423303","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

Graph-based bootstrapped latent recommendation model 基于图形的引导式潜在推荐模型

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-09-05 DOI: 10.1016/j.elerap.2024.101446

Heyong Wang, Guanshang Jiang, Ming Hong, Headar Abdalbari

{"title":"Graph-based bootstrapped latent recommendation model","authors":"Heyong Wang, Guanshang Jiang, Ming Hong, Headar Abdalbari","doi":"10.1016/j.elerap.2024.101446","DOIUrl":"10.1016/j.elerap.2024.101446","url":null,"abstract":"<div><p>As an important means to optimize organizational profitability, recommendation systems have been widely applied on e-commerce platforms in recent years. Their goal is to identify products of interest from which users have not browsed. To achieve this, prior work often relies on negative sampling strategies to guide the learning of user and product representations. In these strategies, products that users have not browsed are treated as negative labeled samples (products that users dislike). However, the negative sampling strategy fundamentally contradicts the goal of recommendation systems. With the number of products further increases, more “positive but not been browsed” products will be treated as negative labeled samples, leading to the introduction of noisy supervision signals during model training and thereby affecting recommendation performance. This paper proposes a Graph-based Bootstrapped Latent Recommendation model, dubbed GBLR. GBLR is a self-supervised framework that is trained using only positive user–product pairs. It utilizes a graph convolutional network to aggregate local neighborhood features of users and products, bootstrapping latent contrastive views. Subsequently, a symmetric cosine similarity loss function aligns the contrastive views of positive user-product pairs, guiding the model to learn consistent representations of users and products. With this self-supervised approach, the model can effectively learn the user and product representations in the absence of negative labeled samples. Experiments on three public datasets show that the proposed GBLR can effectively complete the recommendation task and outperforms the state-of-the-art baseline models. In the era of e-commerce, the innovative research on recommendation methods conducted in this work can optimize platform operations, enhance user experience and merchant revenue, thereby achieving a win–win situation for all parties involved, and holds significant practical value.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101446"},"PeriodicalIF":5.9,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163458","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