Electronic Commerce Research and Applications最新文献

The coherent two-phased process from sold online to redemption offline on an online daily-deal platform 在线团购平台从线上销售到线下赎回的连贯两阶段过程

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-06-13 DOI: 10.1016/j.elerap.2025.101523

Yingxin Song , Yezheng Liu , Xiayu Chen , Muhammet Deveci , Carol Xiaojuan Ou , Lingfei Li , Weizhong Wang

{"title":"The coherent two-phased process from sold online to redemption offline on an online daily-deal platform","authors":"Yingxin Song , Yezheng Liu , Xiayu Chen , Muhammet Deveci , Carol Xiaojuan Ou , Lingfei Li , Weizhong Wang","doi":"10.1016/j.elerap.2025.101523","DOIUrl":"10.1016/j.elerap.2025.101523","url":null,"abstract":"<div><div>Daily-deal platforms closely cooperate with local retailers when issuing daily-deal coupons to profit from selling coupons online and redeeming them offline. However, most research on daily-deal business has only focused on online sales or the offline redemption process. We investigate the coherent two-phased process from selling coupons online to redeeming them offline, grounded in the lens of social judgment theory, to capture the full picture of the daily-deal business. By tracking the sales and redemption of 11,290 deals over a 13-month period on an online daily-deal platform and conducting various data analyses, we find that reputation and price curvilinearly affect the sold online of daily-deal coupons, which consequently positively affects coupon redemption offline. More specifically, the <em>U</em> test empirically indicates that the extreme point of the inverted U-shaped effect of reputation score is 86.0035 within the range [49.7353, 92.7551]. And the extreme point to price demonstrates a U-shaped effect is 399.6082 within the range [4.7060, 829.3651]. We further classify retailers’ daily deals into consumption on a group or individual level. Empirical data demonstrate that the inverted U-shaped effects of reputation and the U-shaped effects of price are weakened by group consumption. Furthermore, we investigate the moderating role of agglomeration on the relationship between daily-deal coupons sold online and redemption offline of daily-deal coupons. We also discussed the theoretical and practical implications.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"73 ","pages":"Article 101523"},"PeriodicalIF":5.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306573","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

The influence of virtual streamer on purchase intention: The moderated mediating effect of message strategy and live-streaming environment 虚拟主播对购买意愿的影响：消息策略和直播环境的调节中介作用

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-06-12 DOI: 10.1016/j.elerap.2025.101520

Xueying Wang, Yuexian Zhang

{"title":"The influence of virtual streamer on purchase intention: The moderated mediating effect of message strategy and live-streaming environment","authors":"Xueying Wang, Yuexian Zhang","doi":"10.1016/j.elerap.2025.101520","DOIUrl":"10.1016/j.elerap.2025.101520","url":null,"abstract":"<div><div>In the realm of live-streaming, virtual streamers represent a significant area of industry expansion. Despite the widespread adoption of both human-backed and AI-backed virtual streamers in marketing campaigns, the differential effects of these two types remain underexplored. Through three experimental studies, this research systematically examines how virtual streamer types (AI-backed vs. human-backed) influence purchase intention, while elucidating the underlying mechanisms and boundary conditions. The findings demonstrate three key insights: First, human-backed virtual streamers exert significantly stronger impacts on purchase intention compared to their AI counterparts, with perceived usefulness serving as the critical mediator. Second, a two-sided message strategy outperforms positive unilateral messaging in amplifying virtual streamers’ effectiveness via enhanced perceived usefulness. Third, the live-streaming environment moderates this mechanism differentially: human-backed streamers prove more effective in real-life environments, whereas AI-backed streamers show superior performance in virtual environments. Both effects operate through the pathway of perceived usefulness. This study advances theoretical understanding of virtual streamer efficacy while providing actionable guidelines for businesses to optimize streamer selection strategies.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"73 ","pages":"Article 101520"},"PeriodicalIF":5.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306605","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

Large language model meets chaos: A new deep learning model for fake review detection 大语言模型遇上混沌：一种新的虚假评论检测深度学习模型

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-06-10 DOI: 10.1016/j.elerap.2025.101521

Yu Fan , Haizhou Fan , Fuqian Zhang , Zhenhua Wang

{"title":"Large language model meets chaos: A new deep learning model for fake review detection","authors":"Yu Fan , Haizhou Fan , Fuqian Zhang , Zhenhua Wang","doi":"10.1016/j.elerap.2025.101521","DOIUrl":"10.1016/j.elerap.2025.101521","url":null,"abstract":"<div><div>Detecting fake online reviews is crucial for the e-commerce ecosystem. However, existing studies often fail to mine the intrinsic attributes of reviews, which limits detection performance. In this paper, we introduce a novel fake review detection model, LLMChaos, which investigates reviews from the perspectives of large language models (LLMs) and chaos theory. Specifically, we first propose a method that blends energy selection with LLMs to generate review time series. Second, we construct a space mapping mechanism with multiple chaotic attributes, embracing the intrinsic attributes of reviews. Finally, we design a hierarchical learning network that trains in deep contrastive learning across LLM layers, chaotic attribute layers, and Transformer layers. Extensive experiments demonstrate that LLMChaos is robust and state-of-the-art. For instance, on the Hotel dataset, LLMChaos achieves 94.78% F1, outperforming recent models by 1.42%-19.78%; on the Amazon dataset, LLMChaos achieves 93.15% F1, surpassing recent models by 1.45%-18.39%. Moreover, we contribute novel discoveries, for example, chaotic behaviors of reviews generally exhibit bounded ranges: Lyapunov exponent (0–0.0125), Correlation dimension (0.25–0.5), Kolmogorov entropy (0.75–0.85), Fractal spectrum (0–1.5), and Recurrence rate (0.005–0.015); real and fake reviews display distinct chaotic distributions.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"73 ","pages":"Article 101521"},"PeriodicalIF":5.9,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270313","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

Improving supply chain efficiency with geometric progression export policy and carbon emission mitigation: A comparative analysis of VMI-CS and conventional models 利用几何级数出口政策和碳排放减缓提高供应链效率：VMI-CS与传统模型的比较分析

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-06-04 DOI: 10.1016/j.elerap.2025.101508

B. Karthick

{"title":"Improving supply chain efficiency with geometric progression export policy and carbon emission mitigation: A comparative analysis of VMI-CS and conventional models","authors":"B. Karthick","doi":"10.1016/j.elerap.2025.101508","DOIUrl":"10.1016/j.elerap.2025.101508","url":null,"abstract":"<div><div>In today’s competitive marketplace, improving supply chain efficiency while balancing sustainability constraints has become a critical challenge. This study investigates the geometric progression-based export policy to improve supply chain performance in an integrated inventory model. Despite extensive investigation on inventory control, regular approaches usually fail to account for the combined effect of export techniques, sustainability constraints, and uncertainty on supply chain costs. This study examines two inventory control strategies: vendor managed inventory-consignment stock and the conventional approach, which aims to maximize profitability and manage demand variability and inventory cost uncertainties. It also integrates carbon emissions into sustainable supply chain practices. The demand rate is assumed to be an exponential function of the selling price and employs hexagonal fuzzy numbers to address uncertainty in inventory costs. Also, this work provides a significant and comprehensive integration of pessimistic and optimistic fuzzy numerical analysis on the stated geometric export policy approaches to manage uncertainties in the supply chain. A pattern search optimization technique is incorporated to assess the efficacy of the proposed non-linear dynamic export strategies. The study provides valuable insights for decision-makers by demonstrating how flexible inventory policies, coordinated shipments, and sustainable logistics strategies can improve overall profitability.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"73 ","pages":"Article 101508"},"PeriodicalIF":5.9,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291380","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

Time is money: The role of explicit and implicit timelines on crowdfunding performance 时间就是金钱：明确和隐含的时间表在众筹绩效中的作用

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-30 DOI: 10.1016/j.elerap.2025.101516

Yinghuan Wang , Yan Yan , Yongzhen Guo

引用次数: 0

Learning unknown private valuation in Generalized Second Price position auction 广义第二价格头寸拍卖中未知私人估值的研究

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-28 DOI: 10.1016/j.elerap.2025.101507

Wei Yang , Baichun Xiao , Lifang Wu

{"title":"Learning unknown private valuation in Generalized Second Price position auction","authors":"Wei Yang , Baichun Xiao , Lifang Wu","doi":"10.1016/j.elerap.2025.101507","DOIUrl":"10.1016/j.elerap.2025.101507","url":null,"abstract":"<div><div>Classical equilibrium analysis of the Generalized Second Price (GSP) auction assumes that all players have complete information—a fundamental premise for theoretical development but one that may not align with real-world scenarios. This discrepancy raises concerns about the applicability of such analyses and has motivated researchers to explore equilibrium behavior under incomplete information. Over the past decade, increasing attention has been given to GSP auctions under uncertainty, particularly in areas such as unknown private valuations, Bayesian-Nash equilibrium, social welfare loss, and reserve pricing. However, the learning dynamics of players in the GSP auction remain largely unexplored.</div><div>In this paper, we propose a comprehensive cognitive framework to illustrate how players form and update their beliefs through collective learning. We show that, as a sequential and repeated auction involving numerous participants, the GSP auction’s uncertainty-reduction process closely resembles social observational learning, where information aggregation and herding play critical roles. Furthermore, insights from mean field game theory suggest that players’ beliefs converge to their expected values over time. Our quantitative analysis confirms that this learning process drives belief convergence, while simulation experiments validate the effectiveness of our proposed framework.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"72 ","pages":"Article 101507"},"PeriodicalIF":5.9,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190386","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

Drivers of podcast usage other than use & gratification: A task–technology fit perspective 播客使用的驱动因素，而不是使用和满足：一个任务-技术契合的视角

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-22 DOI: 10.1016/j.elerap.2025.101515

Jacob Chun Cheng , Jack Shih-Chieh Hsu , Hong-Jyun Shen , Cheng-Lin Chen

{"title":"Drivers of podcast usage other than use & gratification: A task–technology fit perspective","authors":"Jacob Chun Cheng , Jack Shih-Chieh Hsu , Hong-Jyun Shen , Cheng-Lin Chen","doi":"10.1016/j.elerap.2025.101515","DOIUrl":"10.1016/j.elerap.2025.101515","url":null,"abstract":"<div><div>Multiple studies have examined the use of podcasts, and most have employed the uses and gratifications (U&G) theory to understand why individuals adopt this medium. The current study regards multitasking as a primary demand and employs the task–technology fit (TTF) theory to assess whether the focal technology of podcasts effectively fits the requirements of multitasking scenarios. We also consider person–technology fit (PTF) and explore whether the alignment between individual preferences (auditory and control needs) and technological characteristics affects individuals’ usage behavior. To investigate these aspects, we conducted an online survey in Taiwan and collected 315 responses. The path analysis results reveal that podcast usage is predominantly influenced by TTF, followed by U&G and PTF (auditory and control factors). The configuration analysis further shows that PTF-auditory and U&G may serve as substitutable drivers of podcast adoption. Interestingly, low usage intention does not necessarily imply the absence of U&G motivations. This study contributes to podcast research by highlighting the fulfillment of multitasking needs as a key advantage of podcasts. Our findings challenge the traditional dominance of U&G theory, suggesting that TTF plays a more significant role in podcast adoption than previously assumed. By integrating TTF and PTF, this study provides a more comprehensive framework for understanding digital media consumption. These insights not only refine podcast adoption research but also offer practical implications for content creators and platform developers seeking to enhance user engagement in multitasking contexts.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"72 ","pages":"Article 101515"},"PeriodicalIF":5.9,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168471","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

Information and funding decisions in peer-to-peer markets: An exploratory study 点对点市场中的信息和资金决策：一项探索性研究

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-21 DOI: 10.1016/j.elerap.2025.101504

Peng-Chu Chen, Ran Tao

{"title":"Information and funding decisions in peer-to-peer markets: An exploratory study","authors":"Peng-Chu Chen, Ran Tao","doi":"10.1016/j.elerap.2025.101504","DOIUrl":"10.1016/j.elerap.2025.101504","url":null,"abstract":"<div><div>This study examines the interaction between soft and hard information in peer-to-peer (P2P) markets, utilizing a survey of 245 participants who evaluated 199 stylized loan requests. The findings reveal that providing both soft and hard information significantly improves funding decisions compared to relying solely on hard information. Soft information enables lenders to identify and support promising borrowers with strong, though marginally insufficient, hard information, while poor hard information effectively mitigates the risk of misinformation. We observe that ambiguity diminishes the influence of soft information, whereas hard information reflecting loan popularity amplifies it through confirmation bias. Consequently, the absence of soft information may impede lenders’ ability to recognize potentially successful borrowers. To ensure the reliability of soft information, P2P platforms should actively monitor its quality and dynamically adjust its prominence. In markets where soft information is generally aligned with borrower quality, platforms may consider de-emphasizing hard data or reducing ambiguity. Conversely, in markets with misaligned soft information, incorporating free-form text and prioritizing hard information can enhance decision-making. These insights offer actionable recommendations for P2P platforms to optimize information presentation and improve loan assessment.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"72 ","pages":"Article 101504"},"PeriodicalIF":5.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139406","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

Posterior price guarantee strategy with randomized pricing in electronic commerce 电子商务随机定价的后验价格保证策略

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-19 DOI: 10.1016/j.elerap.2025.101511

Chenchen Zhao , Jianghua Wu , Yuhong He

引用次数: 0

Impact of logistics delivery performance on consumers’ future purchase behavior: Evidence from an e-commerce platform in China 物流配送绩效对消费者未来购买行为的影响：来自中国某电子商务平台的证据

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-05-16 DOI: 10.1016/j.elerap.2025.101509

Xin Tian , Bochao Yan , Xiaohui Zhou , Yinyun Yan

{"title":"Impact of logistics delivery performance on consumers’ future purchase behavior: Evidence from an e-commerce platform in China","authors":"Xin Tian , Bochao Yan , Xiaohui Zhou , Yinyun Yan","doi":"10.1016/j.elerap.2025.101509","DOIUrl":"10.1016/j.elerap.2025.101509","url":null,"abstract":"<div><div>Logistics plays a crucial role in the operations of e-commerce platforms, but few studies have directly investigated its influence on consumer purchase frequency. While some research indicates a significant positive relationship between logistics performance and consumer satisfaction, relying solely on satisfaction scores to predict future purchasing behavior may lead to the “customer satisfaction trap.” This study empirically examines the impact of logistics performance on consumer purchase frequency using data from e-commerce platforms specializing in cross-border luxury goods. Leveraging detailed consumer purchase data, we circumvent the pitfalls of the “customer satisfaction trap.” Our analysis reveals surprising insights into how cross-border shipping times affect future purchasing behavior and how the rigorous quality inspection processes for luxury goods influence consumer decisions. By linking consumer order records with logistics completion and merchant processing efficiency, we uncover the nuanced effects of logistics performance on consumer behavior. Our findings suggest that delivery delays and extended transit times negatively impact purchase frequency, particularly when coupled with increased shipping costs, although this negative effect is somewhat attenuated in the context of cross-border shipping. Intriguingly, we observe a positive relationship between increased order processing time and consumer purchase frequency, indicating that consumers prioritize quality assurance, even if it entails longer wait times for product inspection.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"72 ","pages":"Article 101509"},"PeriodicalIF":5.9,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089584","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