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

A multi-level sparse attentive fusion network integrating hard and soft information for firm-level loan default prediction 基于软硬信息的多级稀疏关注融合网络用于企业贷款违约预测

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-01-15 DOI: 10.1016/j.elerap.2025.101479

Jingling Ma , Junqiao Gong , Gang Wang , Xuan Zhang

{"title":"A multi-level sparse attentive fusion network integrating hard and soft information for firm-level loan default prediction","authors":"Jingling Ma , Junqiao Gong , Gang Wang , Xuan Zhang","doi":"10.1016/j.elerap.2025.101479","DOIUrl":"10.1016/j.elerap.2025.101479","url":null,"abstract":"<div><div>Firm-level loan default prediction (FLDP) deserves much attention from both academic and industry. Even a small improvement in the accuracy of FLDP could lead to significant savings by reducing credit risk. While previous studies have utilized deep learning models for FLDP task, they failed to well handle the intra-type ambiguity and inter-type interaction simultaneously facing with combined hard and soft information, thus remaining an area of ongoing development. By this perspective, we seek to design a novel Multi-level Sparse Attention (MLSA) based deep learning fusion framework for FLDP, aiming to fully capture default signals conveyed from both hard and soft information. First, multiple types of information are extracted grounded in 5P theory and LAPP theory, ensuring the sufficiency and rationality of the features. Second, Sparse Attentive MLP (SA-MLP) and Sparse Attentive GRU (SA-GRU) module are proposed to handle the intra-type ambiguity embedded in hard and soft information separately. Further, the Attentive Fusion (AF) module including Differential Enhancive module and Common Selective module is proposed to explore inter-type interaction among hard and soft information. Last, we adopt the focal loss function to mitigate the adverse effects of imbalanced data. The proposed MLSA informs future FLDP research about how to fully exploit the value of hard and soft information by considering their intra-type ambiguity and inter-type interaction. Empirical evaluation of the MLSA on a real-world dataset demonstrates its outperformance of state-of-the-art benchmarks in the FLDP task. Our results also contribute to the growing literature on this topic by highlighting the roles of hard and soft information and improving interpretability.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101479"},"PeriodicalIF":5.9,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140799","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

Revenue-based personalized product recommendation considering stochastic purchase probability 考虑随机购买概率的基于收益的个性化产品推荐

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-01-13 DOI: 10.1016/j.elerap.2025.101477

Chao Huang, Xi Zhang, Yifan Zhang, Qinghao Hu

{"title":"Revenue-based personalized product recommendation considering stochastic purchase probability","authors":"Chao Huang, Xi Zhang, Yifan Zhang, Qinghao Hu","doi":"10.1016/j.elerap.2025.101477","DOIUrl":"10.1016/j.elerap.2025.101477","url":null,"abstract":"<div><div>Recommender systems(RS) play a critical role in e-commerce platforms by providing personalized and relevant product suggestions to customers, thereby enhancing their shopping experience and increasing platform revenue. Existing RSs focus on improving accuracy or maximizing user purchase probability when generating recommendations. However, a sole emphasis on accuracy does not ensure the optimization of platform revenue, and recommendations that maximize user purchase probability can also fail to simulate the real purchase behavior of users, which shows strong uncertainty due to external factors. To address these issues, we propose a two-stage personalized product recommendation method based on stochastic purchase probability (PRSPP). In the first stage, we follow previous studies which prioritize user preferences during the recommendation process. A taxonomy-based approach is employed to estimate user preferences at the category level and select candidate products for each user. Subsequently, considering the impact of factors such as product price, sales and category similarity on user utility, a logistic regression model is employed to quantify user preferences for these candidate products and further estimate user purchase probability for them. In the second stage, we aim to optimize the recommendation from the perspective of platform operators, considering user purchases are subject to diverse external factors and exhibit strong uncertainty. We treat purchase probability as a random variable, and a stochastic optimization model with the objective of maximizing platform revenue is formulated. Furthermore, we apply the Sample Average Approximation (SAA) approach to solve the model. Finally, we conduct experiments on Amazon public dataset, and the results present advantages of PRSPP in improving both recommendation accuracy and platform revenue.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101477"},"PeriodicalIF":5.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140798","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

Insurance policy and pricing decisions in online food delivery market with consumer ratings 基于消费者评级的在线食品配送市场的保险政策和定价决策

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-01-08 DOI: 10.1016/j.elerap.2024.101474

Minjian Liu , Shaofu Du , Tengfei Nie , Yangguang Zhu , Qi Dong

{"title":"Insurance policy and pricing decisions in online food delivery market with consumer ratings","authors":"Minjian Liu , Shaofu Du , Tengfei Nie , Yangguang Zhu , Qi Dong","doi":"10.1016/j.elerap.2024.101474","DOIUrl":"10.1016/j.elerap.2024.101474","url":null,"abstract":"<div><div>Recent advances in mobile technology and the rise of aggregator apps have led many consumers to purchase products through online food delivery platforms, and the effects of COVID-19 have accelerated the trend. Consumers often observe other consumers’ ratings before purchasing to reduce the product’s taste and the delivery service uncertainties. However, the information accuracy of the ratings can be affected by the seller’s marketing strategies, such as the pricing and delivery insurance policy. Considering consumers’ ratings, firstly, we develop two-period models to examine how consumer uncertainty and different delivery insurance policies impact the seller and consumers. We then determine the seller’s optimal insurance policy and pricing decision. We find that the probability of delayed delivery has a nonmonotonic effect on the product’s optimal price. Counterintuitively, our analysis shows that a Free Insurance (FI) policy allows the seller to benefit from a greater delayed delivery probability by influencing consumer ratings. We show that FI is not always beneficial for the seller and consumers; it may reduce the seller’s profit and the total consumer surplus simultaneously. Surprisingly, the seller can always charge a lower price yet earn more profit by adopting a Paid Insurance (PI) policy. Furthermore, when the seller strategically chooses its price and insurance policy (e.g., No Insurance, FI, or PI), it can achieve a win-win situation; and the seller should always support insurance, i.e., adopt FI or offer PI, even though neither FI nor PI dominates under all conditions.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"70 ","pages":"Article 101474"},"PeriodicalIF":5.9,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140797","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

Collaboration or Encroachment? The Content Provider’s Strategic Content Provision Strategy 合作还是侵占？内容提供商的战略内容提供策略

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-01-01 DOI: 10.1016/j.elerap.2024.101470

Siyu Du, Xu Wang

{"title":"Collaboration or Encroachment? The Content Provider’s Strategic Content Provision Strategy","authors":"Siyu Du, Xu Wang","doi":"10.1016/j.elerap.2024.101470","DOIUrl":"10.1016/j.elerap.2024.101470","url":null,"abstract":"<div><div>With the rapid growth of the streaming industry, an increasing number of Super Content Providers (SCPs), such as Disney, Warner Bros., and NBC Universal, have launched their own streaming platforms, entering the downstream streaming market. However, some content providers, like Sony, still collaborate with Netflix. Therefore, this paper employs game theory to investigate the optimal content provision strategy for SCPs: collaboration or encroachment. We derive some interesting findings. First, contrary to intuition, we find that whether under the collaboration or encroachment strategy, improving the quality of a player’s own film library (the SCP or the incumbent platform) does not always result in higher profit for that player (first hurts then benefits the player). Second, for both the platform and the SCP, an increase in the scale of their film libraries does not automatically lead to higher profits. Third, when the revenue share is positively correlated with the scale of the film library, a small-scale library strengthens the motivation to encroach; conversely, when the library scale does not influence the revenue share, a large-scale library increases the motivation to encroach. Lastly, while the encroachment strategy can be a win–win situation for the incumbent platform and the SCP, it hurts consumer surplus. In contrast, the collaboration strategy can achieve a win–win–win situation under some conditions. Our study helps to explain the market practices and provides valuable guidelines for SCPs’ content provision strategies.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"69 ","pages":"Article 101470"},"PeriodicalIF":5.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133273","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

E-servicescape and customer equity based customer loyalty model for digital services 电子服务逃逸和基于客户资产的数字服务客户忠诚度模型

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-01-01 DOI: 10.1016/j.elerap.2024.101475

Feyza Nur Ozkan, Ahmet Sekerkaya

{"title":"E-servicescape and customer equity based customer loyalty model for digital services","authors":"Feyza Nur Ozkan, Ahmet Sekerkaya","doi":"10.1016/j.elerap.2024.101475","DOIUrl":"10.1016/j.elerap.2024.101475","url":null,"abstract":"<div><div>Customer loyalty is a significant metric due to its positive effects on market share and business performance. Understanding the antecedents of customer loyalty is vital for companies to gain and maintain competitive advantage. However, the models developed to explain customer loyalty in offline services are not directly applicable to digital services due to differences in their nature. Hence, this study aimed to provide an e-servicescape and customer equity-based customer loyalty model for digital services and test this model in different digital service contexts. The research scope includes online video streaming, online banking, online marketplace, and online grocery services. Four separate questionnaire forms were created depending on the types of digital services and applied to the people representing sample characteristics. A total of 600 valid data were obtained through face-to-face interviews. A structural equation modeling approach was employed to test the model, and the multi-group analyses were performed to evaluate the differences in effects for different digital services contexts. We found that e-servicescape and customer equity are significant determinants of customer loyalty in digital services. The effects of e-servicescape on customer equity drivers and customer equity drivers’ effects on customer loyalty differ according to digital service type.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"69 ","pages":"Article 101475"},"PeriodicalIF":5.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133191","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

From efficiency to equity: A multi-user paradigm in mobile route optimization 从效率到公平：移动路线优化中的多用户范例

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101459

Pengzhan Guo , Keli Xiao

{"title":"From efficiency to equity: A multi-user paradigm in mobile route optimization","authors":"Pengzhan Guo , Keli Xiao","doi":"10.1016/j.elerap.2024.101459","DOIUrl":"10.1016/j.elerap.2024.101459","url":null,"abstract":"<div><div>This study addresses the challenge of optimizing vehicle mobility in urban environments, which is significant for the advancement of smart city initiatives and spatial data analysis. We introduce a novel mobile recommendation system designed for multi-user scenarios, aiming to achieve a balance between effectiveness and fairness. The system prioritizes maximizing the profitability of vehicle service providers while ensuring an equitable distribution of recommended routes among users. Our approach features a redefined objective function that integrates a fairness criterion alongside path quality optimization. We further propose PSA-DLMA (Parallel Simulated Annealing with Deep Learning-Guided Move Adaptation), a stochastic path search method that leverages deep learning to guide move and strategy selection, alongside a dynamic termination mechanism and a parallel processing strategy. We validate our methodology using recent yellow taxi data from New York City and its surroundings, conducting comprehensive experiments to assess the performance of the system. The results demonstrate the superiority of PSA-DLMA over existing state-of-the-art solutions, offering significant contributions to improving urban vehicle mobility within the smart city framework.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101459"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656587","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

Subjective variability of the “just-right feeling”: Effectiveness of social media advertising design 恰到好处的感觉 "的主观可变性：社交媒体广告设计的有效性

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101466

Ya Wang , Shuilong Wu , Jiajun Zhao , Yongna Yuan

{"title":"Subjective variability of the “just-right feeling”: Effectiveness of social media advertising design","authors":"Ya Wang , Shuilong Wu , Jiajun Zhao , Yongna Yuan","doi":"10.1016/j.elerap.2024.101466","DOIUrl":"10.1016/j.elerap.2024.101466","url":null,"abstract":"<div><div>With the rapid advancement of AI and algorithmic technologies, social media platforms have gained the ability to identify consumer personality traits. However, developing compelling advertising strategies for individuals with different self-construals remains challenging. Based on construal level theory, this research investigates the interactions between shot scale, advertising appeals, and self-construal on social media. The results of the four empirical studies indicated that independent individuals prefer advertisements with long-shot images and desirability appeals. In contrast, interdependent individuals favor advertisements with close-up images and feasibility appeals. Furthermore, the findings reveal that long-shot images match with desirability appeals or close-up images paired with feasibility appeals significantly increase the click-through rate and foster more positive advertising attitudes. The above findings are central to the feeling right during information processing, which plays a crucial role in advertising acceptance. Therefore, this research constructs a new framework for personalized advertisement design in social media and offers a practical guide for businesses seeking to optimize their advertising strategies.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101466"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656641","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

Antecedents of users’ switching intention to Central Bank Digital Currency: A push-pull-mooring model perspective 用户转向央行数字货币意向的前因：推拉移动模型视角

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101467

Chen Sha , Tong Che , Tingjie Xu , Zi Yang

引用次数: 0

Unveiling the forces driving expert activity: The impact of information environment and peer behavior on expert reviewer engagement behavior 揭示专家活动的驱动力：信息环境和同行行为对专家审稿人参与行为的影响

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101463

Zhaoyang Yu , Zili Zhang , Yunzhijun Yu , Ziqiong Zhang

{"title":"Unveiling the forces driving expert activity: The impact of information environment and peer behavior on expert reviewer engagement behavior","authors":"Zhaoyang Yu , Zili Zhang , Yunzhijun Yu , Ziqiong Zhang","doi":"10.1016/j.elerap.2024.101463","DOIUrl":"10.1016/j.elerap.2024.101463","url":null,"abstract":"<div><div>Online platform engagement with customers, especially those with high expertise, is crucial for companies. As these expert customer reviews directly impact a company’s brand image and sales volume, an understanding of expert reviewer engagement behavior (EREB) is critical for companies’ marketplace success. This study explores the factors that influence EREB from two key situational cues: those from the company’s information environment and from peer expert behavior. Data from 144,634 Yelp reviewers and 5,080 restaurants were analyzed. The results reveal that companies with higher aggregate ratings are more likely to encourage EREB. The impact of overall and peer expert rating inconsistency on EREB varies: Overall rating inconsistency has a positive effect, while inconsistency among expert peers has a negative effect. Additionally, EREB exhibits herding and differentiation patterns in response to changes in peer expert engagement density. This results in a U-shaped relationship between EREB and peer expert engagement density, moderated by aggregate rating, overall rating inconsistency, and peer expert rating inconsistency. This study provides practical insights for marketers looking to engage expert customers and expands on the literature on expert customer engagement behavior.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101463"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656591","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

Gamification on digital platform: A meta-analysis of affordance on behavior from value perspective 数字平台上的游戏化：从价值角度对行为承受能力的元分析

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101465

Furong Jia , Xueqi Bao , Jie Yu

引用次数: 0