Electronic Commerce Research and Applications最新文献_第6页

Forgiveness catalyst or risk amplifier? The impact of AI customer service anthropomorphism on consumers’ forgiveness willingness 宽恕催化剂还是风险放大器？人工智能客服拟人化对消费者宽恕意愿的影响

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2026-01-01 Epub Date: 2026-01-10 DOI: 10.1016/j.elerap.2026.101572

Huawei Liu , Xiqing Han , Sihong Li , Xiyang Zhao , Min Zhang

{"title":"Forgiveness catalyst or risk amplifier? The impact of AI customer service anthropomorphism on consumers’ forgiveness willingness","authors":"Huawei Liu , Xiqing Han , Sihong Li , Xiyang Zhao , Min Zhang","doi":"10.1016/j.elerap.2026.101572","DOIUrl":"10.1016/j.elerap.2026.101572","url":null,"abstract":"<div><div>In the business domain, AI customer service has become increasingly prevalent, yet service failures remain inevitable. A key challenge lies in mitigating the negative emotions that arise from such failures. Given that anthropomorphism significantly shapes consumer–AI interactions, it is essential to examine its influence on service failure outcomes and consumers’ willingness to forgive. This study investigates the degree of anthropomorphism in AI customer service as the independent variable, consumers’ forgiveness willingness toward companies as the dependent variable, and aversion to AI service failures as the mediating variable. Additionally, task criticality and relational norms are introduced as moderating variables. A research model is developed and tested through one pilot and three formal scenario-based experiments, followed by data analysis using SPSS. The results reveal four key findings: (1) In service failure contexts, a higher degree of anthropomorphism in AI customer service positively influences consumers’ willingness to forgive. (2) Aversion to AI mediates the relationship between anthropomorphism and forgiveness; specifically, higher anthropomorphism leads to lower aversion and, consequently, greater forgiveness. (3) Task criticality moderates this effect: under high task criticality, anthropomorphic AI increases forgiveness even in the face of failure, whereas under low task criticality, anthropomorphism has no significant effect on forgiveness. (4) Relational norms also moderate the effect. In public relationships (e.g., long-term or communal exchanges), higher anthropomorphism enhances forgiveness. However, in exchange-based relationships, anthropomorphism does not alleviate negative emotions or promote forgiveness. These findings offer theoretical insights and practical implications for the anthropomorphic design of AI systems and for managing customer relationships in AI-mediated service contexts.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"75 ","pages":"Article 101572"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977633","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

Integrating customer preferences into operational decision-making for prioritizing emerging technologies in last-mile delivery 将客户偏好整合到运营决策中，以优先考虑最后一英里交付中的新兴技术

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2026-01-01 Epub Date: 2026-01-09 DOI: 10.1016/j.elerap.2026.101573

Ahmet Çalık , Esra Boz , Sinan Çizmecioğlu , Erfan Babaee Tirkolaee

{"title":"Integrating customer preferences into operational decision-making for prioritizing emerging technologies in last-mile delivery","authors":"Ahmet Çalık , Esra Boz , Sinan Çizmecioğlu , Erfan Babaee Tirkolaee","doi":"10.1016/j.elerap.2026.101573","DOIUrl":"10.1016/j.elerap.2026.101573","url":null,"abstract":"<div><div>The rapid expansion of e-commerce has positioned last-mile delivery as the most critical and resource-intensive stage of modern supply chains. Firms must balance multiple and often conflicting objectives: reducing costs, minimizing environmental impacts, and meeting growing customer expectations for speed, reliability, and personalization. While previous research has focused on operational efficiency and routing optimization, limited attention has been given to frameworks that integrate customer preferences with technology-enabled decision-making. This study develops a hybrid decision support model by extending the classical Simple Weight Calculation (SIWEC) method with grey numbers (G-SIWEC), capable of handling uncertainty in subjective judgments to generate robust criterion weights. These weights are incorporated into a multi-objective optimization model, solved using the Weighted Sum Scalarization Method (WSSM), to minimize delivery costs and emissions while maximizing service quality. The model explicitly considers emerging delivery technologies, including drone, Autonomous Vehicle (AV), and bicycle (e-bike), to explore innovative, sustainable, and customer-centric delivery strategies. Findings highlight technology-specific patterns: drone and bicycle excel in lightweight, eco-friendly deliveries, AV dominates mid-range logistics, and conventional truck remains indispensable for heavy loads. By linking customer preferences to technology-driven operational decisions, this work provides practical insights for managers and policymakers seeking to design efficient, sustainable, and innovative last-mile delivery systems for e-commerce. These implications should be interpreted within the context of the numerical experiment conducted in this study.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"75 ","pages":"Article 101573"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977834","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

Consumer purchase intention during brand crisis: A study on intangible cultural heritage brands in the context of e-commerce live streaming 品牌危机下的消费者购买意愿：电商直播背景下的非遗品牌研究

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-11-19 DOI: 10.1016/j.elerap.2025.101560

Wei Zhang, Hao Ran, Yuan Gong, Xiaohui Zhou

{"title":"Consumer purchase intention during brand crisis: A study on intangible cultural heritage brands in the context of e-commerce live streaming","authors":"Wei Zhang, Hao Ran, Yuan Gong, Xiaohui Zhou","doi":"10.1016/j.elerap.2025.101560","DOIUrl":"10.1016/j.elerap.2025.101560","url":null,"abstract":"<div><div>Live-stream commerce—marked by real-time interactivity, immersive visuals, and embedded social cues—has become mainstream. While it expands exposure, its speed and reach can also amplify negative sentiment, posing acute risks for intangible cultural heritage (ICH) brands that bear commercial and cultural responsibilities. Using the Stimulus–Organism–Response framework, we examine how live-shopping experience and brand-crisis perception shape purchase intention via parallel mediators: brand trust (cognitive) and ICH-preservation awareness (affective). Focusing on Pien Tze Huang—an ICH-listed, time-honoured Chinese brand—we triangulate literature review, field investigation, and a survey (N = 432). Structural-equation modelling with multiple mediation yields three findings. (i) Engaging live-shopping elevates professional trust and deepens cultural identification, jointly increasing purchase intention. (ii) Crisis perception erodes trust yet heightens awareness of cultural scarcity; under certain conditions the latter dominates, paradoxically raising purchase intention. (iii) Trust and ICH-preservation awareness transmit these influences in parallel, underscoring intertwined cognition and emotion. Managerially, ICH brands should pair interactive, evidence-first livestreams with transparent, multi-platform communication; explain pricing while demonstrating craft and provenance; and ensure compliant, traceable supply chains that reconcile commercial logic with heritage stewardship. These conclusions are analytical generalisations from a high-salience ICH setting; portability depends on heritage depth and verifiable transparency. Future research should adopt longitudinal or cross-case designs across ICH categories and cultural contexts, incorporating behavioural traces to test boundary conditions and strengthen external validity.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101560"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571235","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

Accommodative or defensive? Understanding impacts of differentiated managerial response strategies on online review helpfulness 包容还是防御？了解差异化管理应对策略对在线评论帮助性的影响

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-10-12 DOI: 10.1016/j.elerap.2025.101555

Chuanmei Zhou , Jingyi Zheng , Wangyue Zhou , Miao Zhang , Shuiqing Yang

{"title":"Accommodative or defensive? Understanding impacts of differentiated managerial response strategies on online review helpfulness","authors":"Chuanmei Zhou , Jingyi Zheng , Wangyue Zhou , Miao Zhang , Shuiqing Yang","doi":"10.1016/j.elerap.2025.101555","DOIUrl":"10.1016/j.elerap.2025.101555","url":null,"abstract":"<div><div>E-commerce businesses nowadays frequently employ managerial responses to online reviews as a strategy to cultivate relationships with consumers. However, the specific mechanism underlying how different motivational managerial response strategies affect the perceived review helpfulness remains unclear. This study develops a research model to reflect the influences of two managerial response strategies (accommodative vs. defensive response) on the perceived review helpfulness under different conditions of service failure severity (ordinary negative vs. core failure reviews) and review format (text-only vs. hybrid format reviews). Through a between-group experiment, the study found that employing a defensive response strategy to text-only ordinary negative reviews and core failure reviews is effective in reducing the perceived helpfulness of such negative reviews. In addition, an accommodative response strategy is more appropriate for hybrid core service failure reviews, while for hybrid ordinary negative reviews, both defensive and accommodative response strategies are more effective than no response strategy. These findings provide important insights for managers to respond to negative reviews and help them to develop effective intervention strategies to meet the interests of the business.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101555"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325264","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 clicks to context: A heterogeneous graph framework for diagnosing consumer shopping goals and personalizing retail strategy 从点击到上下文：用于诊断消费者购物目标和个性化零售策略的异构图形框架

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 DOI: 10.1016/j.elerap.2025.101557

Yongjie Yan , Hui Xie

{"title":"From clicks to context: A heterogeneous graph framework for diagnosing consumer shopping goals and personalizing retail strategy","authors":"Yongjie Yan , Hui Xie","doi":"10.1016/j.elerap.2025.101557","DOIUrl":"10.1016/j.elerap.2025.101557","url":null,"abstract":"<div><div>In modern e-commerce, recommender systems are vital for personalization. However, many systems exhibit “contextual blindness,” failing to distinguish between fundamental user motivations like established brand affinity and exploratory category-seeking. This limitation leads to suboptimal recommendations and missed revenue opportunities. To address this gap, we propose the Heterogeneous Graph Context-Aware Recommender (HGCAR). The framework constructs a multi-relational graph of users, items, brands, and categories. It employs a hierarchical attention mechanism to not only predict user choices but also to diagnose the underlying drivers by quantifying the influence of each context (e.g., brand vs. category) for each user. The resulting user-specific attention weights (<span><math><mi>β</mi></math></span>) function as managerially interpretable diagnostics. This allows practitioners to segment users based on their primary purchasing drivers (e.g., “Brand Loyalists” vs. “Category Explorers”), enabling the deployment of highly targeted marketing campaigns. The proposed framework is evaluated on large-scale Amazon datasets. Results show that HGCAR achieves significant improvements in recommendation accuracy over state-of-the-art baselines. Furthermore, an illustrative simulation suggests that segmenting users with our diagnostic weights has the potential for substantial increases in marketing campaign Return on Investment (ROI). This work bridges the gap between predictive accuracy and managerial actionability, transforming recommendation engines from black-box predictors into strategic decision tools for personalized marketing and inventory optimization.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101557"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465768","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

A gamified nudging method for privacy personalization in social networks and its effects on online hostility and user engagement 社交网络中隐私个性化的游戏化轻推方法及其对在线敌意和用户参与度的影响

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-10-10 DOI: 10.1016/j.elerap.2025.101554

Mohammad Hajarian , Paloma Diaz , Ignacio Aedo , Behrouz Minaei-Bidgoli

{"title":"A gamified nudging method for privacy personalization in social networks and its effects on online hostility and user engagement","authors":"Mohammad Hajarian , Paloma Diaz , Ignacio Aedo , Behrouz Minaei-Bidgoli","doi":"10.1016/j.elerap.2025.101554","DOIUrl":"10.1016/j.elerap.2025.101554","url":null,"abstract":"<div><div>This study introduces a novel gamified nudging method to encourage social network users to personalize their privacy settings. Analyzing behavioral data from 19,123 active users, we found that 60 % of users exposed to the gamified nudge used it to adjust their privacy settings. In total, 16,035 users (84 %) personalized their settings via the gamified nudge or the options menu. Users who personalized their privacy settings exhibited significantly higher engagement, viewing more pages and sending more messages, likes, and friend requests compared to those who did not respond to the nudge, while non-personalizing users showed baseline engagement levels. Statistical analyses confirmed these differences across all interaction metrics (p < 0.001). Notably, 84.24 % of privacy-personalizing users chose to remain open for communication while selectively restricting more sensitive information, supporting that privacy personalization does not hinder social interaction. Survey data (n = 60) further revealed that users who personalized their privacy settings reported significantly lower experiences of online hostility and more satisfaction (p = 0.002). Demographic analysis showed that the gamified nudge was more effective among men and middle-aged users, while education showed mixed effects. A chi-square analysis confirmed that users applied different privacy preferences based on content type, such as being open to messages but limiting who can see personal or sensitive information. These findings suggest that while nudging users to personalize their privacy settings may seem to limit communication and engagement between them, it conversely increases user engagement and satisfaction.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101554"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325265","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

Understanding the knowledge sharing behaviors in social Commerce: Affordances, coactive vicarious Learning, and need for cognitive closure 理解社交商务中的知识共享行为：支持、协同替代学习和认知封闭需求

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-11-30 DOI: 10.1016/j.elerap.2025.101565

Zhiyuan Nong, Jing Wu

{"title":"Understanding the knowledge sharing behaviors in social Commerce: Affordances, coactive vicarious Learning, and need for cognitive closure","authors":"Zhiyuan Nong, Jing Wu","doi":"10.1016/j.elerap.2025.101565","DOIUrl":"10.1016/j.elerap.2025.101565","url":null,"abstract":"<div><div>This research investigates how social media affordances (SMA) influence social commerce customers’ knowledge sharing through their engagement in coactive vicarious learning (CVL). We extend the theory of SMA by incorporating the privacy-controlling ability afforded by social media. Five complementary forms of SMA then drive CVL, with knowledge sharing as the learning outcome. Specifically, this study examines the dual-stage moderating role of the need for cognitive closure (NCC), revealing how the extended SMA affects users with different psychological states. A quantitative survey was conducted on several leading Chinese social commerce platforms to test the research model. Data from 867 respondents were analyzed using the PLS-SEM method. The results confirm that: (1) SMA has a positive effect on CVL, and CVL positively affects knowledge sharing; (2) CVL partially mediates the relationship between the extended SMA and knowledge sharing; (3) NCC acts as a dual-stage positive moderator in the indirect effect of SMA on knowledge sharing through CVL. This research contributes to the literature on knowledge sharing and social commerce, deepens the understanding of consumer learning, and advances the application of cognitive psychology in the study of digital learning and consumer behavior.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101565"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684779","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

Understanding social commerce adoption in agriculture: a systematic literature review 理解社会商业在农业中的应用：系统的文献综述

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-09-12 DOI: 10.1016/j.elerap.2025.101543

Noli B. Lucila Jr. , Michelle Renee D. Ching

{"title":"Understanding social commerce adoption in agriculture: a systematic literature review","authors":"Noli B. Lucila Jr. , Michelle Renee D. Ching","doi":"10.1016/j.elerap.2025.101543","DOIUrl":"10.1016/j.elerap.2025.101543","url":null,"abstract":"<div><div>Social commerce, the integration of social media into e-commerce, has resulted in significant transformations for both businesses and consumers. Several research have been conducted to understand social commerce, and numerous systematic literature reviews have produced insights from the current literature on social commerce. However, given the tremendous growth of social commerce in recent years, it is crucial to investigate new insights in this domain. This study presents a comprehensive, systematic analysis of social commerce adoption in agriculture by employing the SALSA framework. The review encompasses 1,125 research publications on social commerce published between 2014 and 2023 to gain an understanding of the related theoretical foundations, as well as the methods used in this area, and the benefits, issues and challenges. The findings indicate that the studies cover several topics, with a predominant focus on consumers’ purchase behavior and decisions, and consumers’ trust, engagement and satisfaction. In addition, this study demonstrates the potential of social commerce as a promising field of research, particularly in the agricultural sector. It also provides a clear direction for future studies by identifying gaps in existing research literature through a systematic review and examining papers over the past ten years, and opportunities for future research.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101543"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096738","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

Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model 利用生成对抗网络模型缓解跨域推荐系统中的域适应和冷启动挑战

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-11-26 DOI: 10.1016/j.elerap.2025.101564

Matthew O. Ayemowa , Roliana Ibrahim , Noor Hidayah Zakaria

{"title":"Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model","authors":"Matthew O. Ayemowa , Roliana Ibrahim , Noor Hidayah Zakaria","doi":"10.1016/j.elerap.2025.101564","DOIUrl":"10.1016/j.elerap.2025.101564","url":null,"abstract":"<div><div>Recommender systems often face challenges of cold start, specifically when expanding into new domains. The current research has shown the successful impact of Generative Adversarial Networks (GANs) on domain adaptation problems. However, the underutilization of GAN-based model needs more attention for more personalized recommendations. Domain adaptation helps to mitigate these issues by transferring knowledge from a source domain to a target domain. This paper proposes a novel approach that leverages Generative Adversarial Networks (GANs) to enhance domain adaptation in Cross-domain recommender systems (CDRS). The proposed model, Domain Adaptation Cross-domain Generative Adversarial Networks (DAC-GAN) with the incorporation of auxiliary information utilized the generator to produce synthetic user-item interactions in the target domain and a discriminator to distinguish between real and generated interactions, thereby improving the performance of the recommendation. By integrating auxiliary information into GANs model, the framework bridges the domain gap, and this enables accurate predictions in the target domain. Comprehensive experiments on benchmark datasets: Amazon, Movielens, Yelp and Book-crossing demonstrate the effectiveness of the proposed technique, by achieving significant improvements in the evaluation metrics: Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) compared to existing techniques. Experiments conducted on benchmark datasets demonstrate that DAC-GAN outperforms the existing methods in terms of recommendation accuracy and adaptability.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101564"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618095","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

Privacy protection investment decisions of e-commerce platforms under mean-variance preferences 均值方差偏好下电子商务平台的隐私保护投资决策

IF 6.3 3区管理学

Electronic Commerce Research and Applications Pub Date : 2025-11-01 Epub Date: 2025-11-26 DOI: 10.1016/j.elerap.2025.101563

JianHua Wang, Bin Zhao

{"title":"Privacy protection investment decisions of e-commerce platforms under mean-variance preferences","authors":"JianHua Wang, Bin Zhao","doi":"10.1016/j.elerap.2025.101563","DOIUrl":"10.1016/j.elerap.2025.101563","url":null,"abstract":"<div><div>As data privacy issues become increasingly prominent in the digital economy, differences in privacy protection investment and risk preferences among supply chain members frequently lead to decision-making conflicts. This study considers a two-tier supply chain consisting of a supplier and an e-commerce platform, where the platform may unintentionally cause consumer privacy breaches and faces a certain probability of being held accountable and compensating consumers. The objective is to explore the decision-making mechanisms of supply chain members under different risk preferences and privacy protection investment modes, and to analyze the impact of privacy protection investment and risk preferences on supply chain members by considering the compensation cost associated with privacy breaches. We derive the following main conclusions: regardless of whether the platform invests in privacy protection, an increase in the probability of privacy breaches <span><math><msub><mi>f</mi><mn>1</mn></msub></math></span> suppresses market demand, lowers the wholesale price, and reduces the profits of both the supplier and the platform. Given a certain level of protection capability and technological efficiency, the e-commerce platform should actively invest in privacy protection. The platform’s risk attitude affects its pricing strategy and profit distribution structure; although a risk-averse platform tends to set a lower price to expand market demand, its subjective utility is generally lower than that of a risk-neutral platform.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"74 ","pages":"Article 101563"},"PeriodicalIF":6.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684777","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