Electronic Commerce Research and Applications最新文献_第7页

Super app on demand: Exploring the impact of service synergy on willingness to use a new service 超级按需应用程序：探索服务协同效应对使用新服务意愿的影响

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-27 DOI: 10.1016/j.elerap.2024.101430

Yu-Hui Fang , Chien-Hsiang Liao , Chia-Ying Li

{"title":"Super app on demand: Exploring the impact of service synergy on willingness to use a new service","authors":"Yu-Hui Fang , Chien-Hsiang Liao , Chia-Ying Li","doi":"10.1016/j.elerap.2024.101430","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101430","url":null,"abstract":"<div><p>People prefer managing diverse activities within a “Super App,” driving the need for additional services to monopolize users’ time continually. In advancing this emerging theme, we present a model integrating synergy and brand extension theories to deepen the understanding, from the user’s perspective, of how an established super app (LINE) influences the launch of a new service (LINE Shopping). Focusing on their unique synergy, a phenomenon absent in single-purpose apps, we introduce the novel concept of expected service synergy. We establish five enabler-synergy linkages and one synergy-use linkage, empirically supporting all the hypotheses with survey data from 814 LINE users. Finally, enablers associated with LINE (perceived external prestige and brand competence), LINE Shopping (complementarity and compatibility), and their relationship (perceived fit) significantly contribute to expected service synergy. This synergy is crucial in motivating users’ willingness to utilize LINE Shopping. Our findings offer actionable guidelines for super app practitioners and researchers.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101430"},"PeriodicalIF":5.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1567422324000759/pdfft?md5=111b0ebe39053bc16c9d5a63db401d68&pid=1-s2.0-S1567422324000759-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486090","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

Predicting and interpreting digital platform survival: An interpretable machine learning approach 预测和解释数字平台的生存状况：一种可解释的机器学习方法

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-22 DOI: 10.1016/j.elerap.2024.101423

Xinyu Zhu , Qiang Zhang , Baojun Ma

{"title":"Predicting and interpreting digital platform survival: An interpretable machine learning approach","authors":"Xinyu Zhu , Qiang Zhang , Baojun Ma","doi":"10.1016/j.elerap.2024.101423","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101423","url":null,"abstract":"<div><p>Despite the substantial economic impact of digital platforms, research on platform risk evaluation has been sparse. In this study, we investigate whether online content can serve as leading indicators of digital platform survival. We employ machine learning techniques to extract features from three types of online content, that is, user generated content, platform generated content, and third party generated content and examine their utilities in predicting platform survival. Using a predictive XGBoost algorithm and data crawled from a leading web portals of digital platforms for online lending in China, we find online content are strong predictors of platform survival. Furthermore, we use casual forest models to reveal the differences among the three type of online content in terms of predictive utility. Interestingly, we find the presence of third-party generated content indicates lower probability of platform survival while the platform with more user generated content has higher chance to survive. The relationship between platform generated contents and platform failure is not significant. Based on the results, we provide practical implications for market managers and platform owners.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101423"},"PeriodicalIF":5.9,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on value creation path of logistics platform under the background of digital ecosystem: Based on SEM and fsQCA methods 数字生态系统背景下物流平台价值创造路径研究：基于 SEM 和 fsQCA 方法

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-22 DOI: 10.1016/j.elerap.2024.101424

Zongyuan Liu , Qiaohong Pan

{"title":"Research on value creation path of logistics platform under the background of digital ecosystem: Based on SEM and fsQCA methods","authors":"Zongyuan Liu , Qiaohong Pan","doi":"10.1016/j.elerap.2024.101424","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101424","url":null,"abstract":"<div><p>Digitalization and platform ecosystem have subverted the value creation mode between traditional logistics actors and brought new value additions. Few studies have been done to investigate the influencing factors prompting such value creation of digital platform ecological cooperation in the Chinese logistics industry. The study bridges the gap by using structural equation modeling and fuzzy-set qualitative comparative analysis methods to investigate data from 347 Chinese logistics firms cooperating under the logistics platform. Findings:(1) identification of customer value proposition, complementary cooperation, and multi-party interaction had an indirect influence on logistics service value realization. While transaction cost reduction and digital innovation had a direct influence. (2) Digital capabilities have a positive moderating effect on the relationship between transaction cost reduction and value realization. (3) Comparing the configurations of value realization and ～value realization, it is found that enterprises cannot create value if they only save costs without operation, and should improve digital capabilities to reduce transaction costs. At the same time, the identification of customer value proposition is the source of value creation.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101424"},"PeriodicalIF":5.9,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486088","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

Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending 对利润敏感的机器学习分类与信用风险解释：同行借贷中的小企业案例

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-19 DOI: 10.1016/j.elerap.2024.101428

Miller-Janny Ariza-Garzón , Javier Arroyo , María-Jesús Segovia-Vargas , Antonio Caparrini

{"title":"Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending","authors":"Miller-Janny Ariza-Garzón , Javier Arroyo , María-Jesús Segovia-Vargas , Antonio Caparrini","doi":"10.1016/j.elerap.2024.101428","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101428","url":null,"abstract":"<div><p>We propose a comprehensive profit-sensitive approach for credit risk modeling in P2P lending for small businesses, one of the most financially complex segments. We go beyond traditional and cost-sensitive approaches by including the financial costs and incomes through profits and introducing the profit information at three points of the modeling process: the estimation of the learning function of the classification algorithm (XGBoost in our case), the hyperparameter optimization, and the decision function. The profit-sensitive approaches achieve a higher level of profitability than the profit-insensitive approach in the small business case analyzed by granting mostly lower-risk, lower-amount loans. Explainability tools help us to discover the key features of such loans. Our proposal can be extended to other loan markets or other classification problems as long as the cells of the misclassification matrix have an economic value.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101428"},"PeriodicalIF":5.9,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1567422324000735/pdfft?md5=2483f7172b4368f1a27294cec1a02f2d&pid=1-s2.0-S1567422324000735-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486109","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

Online promotion cooling? The influence mechanism of consumer loyalty in classic large-scale online social promotions 网络促销降温？经典大型网络社交促销活动中消费者忠诚度的影响机制

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-19 DOI: 10.1016/j.elerap.2024.101429

Min Zhang , Sihong Li

{"title":"Online promotion cooling? The influence mechanism of consumer loyalty in classic large-scale online social promotions","authors":"Min Zhang , Sihong Li","doi":"10.1016/j.elerap.2024.101429","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101429","url":null,"abstract":"<div><p>Consumer loyalty plays a significant role in the sustainable marketing of classic large-scale online social promotions (CLOSPs). However, existing research mainly focuses on the single consumption behavior of consumers, overlooking the exploration of consumer CLOSPs loyalty from both cognitive and behavioral perspectives. This study aims to bridge this gap in the literature by exploring the impact mechanism of environmental factors on consumer loyalty in CLOSPs based on signaling theory and social cognitive theory. We apply a mixed-methods design containing both qualitative and quantitative stages. The research results show that perceived promotional incentives are influenced by three types of environmental signals: social-, product-, and platform-related signals. Subjective norms, relationship benefits, product involvement, and path dependence form consumer loyalty by influencing consumer cognition (including flow experience and satisfaction). Subjective norms and relationship benefits correspond to the passive and active dimensions of social-related signals, respectively. Further, three configurations can lead to high levels of consumer loyalty to CLOSPs. Our findings propose that e-commerce practitioners should leverage environmental signals to stimulate perceived promotional incentives and foster high loyalty to CLOSPs.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101429"},"PeriodicalIF":5.9,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486089","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

It’s better than nothing: The influence of service failures on user reusage intention in AI chatbot 有总比没有强：人工智能聊天机器人中服务故障对用户重用意愿的影响

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-16 DOI: 10.1016/j.elerap.2024.101421

Jinao Zhang, Xinyuan Lu, Wenqing Zheng, Xuelin Wang

{"title":"It’s better than nothing: The influence of service failures on user reusage intention in AI chatbot","authors":"Jinao Zhang, Xinyuan Lu, Wenqing Zheng, Xuelin Wang","doi":"10.1016/j.elerap.2024.101421","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101421","url":null,"abstract":"<div><p>Artificial intelligence (AI) chatbot have become increasingly popular as a tool for improving employee productivity over the last few years. In the early stages of AI chatbot development, exploring the impact of AI chatbot service failures on user reusage intention is useful for coordinating human–computer interaction and optimizing AI chatbot service mechanisms. The extant literature on AI service failures focuses on service recovery and anthropomorphism. There is less literature comparing different types of service failures and their effects. The article includes three studies. First, a randomized group experiment was conducted with 120 respondents. The results showed significant differences in the impact of different AI chatbot service failures on user reusage intentions. Second, an online questionnaire was completed by 386 respondents, the results found specific impact mechanisms of service failures on user reusage intentions. Third, an interview survey was conducted with 15 customers using AI chatbots to verify the findings of Study 1 and Study 2. Furthermore determine the boundary conditions for the unsupported hypotheses through <em>meta</em>-inference. The research enriches the literature on relationship marketing and expands the attribution theory of service failures. In addition, which provides theoretical basis and practical support for companies to reduce adverse effects of service failures.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101421"},"PeriodicalIF":6.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141423485","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

Advertising mode selection strategy under manufacturer encroachment 制造商蚕食下的广告模式选择策略

IF 6 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-15 DOI: 10.1016/j.elerap.2024.101425

Yuxiang Zhang, Weijun Zhong

{"title":"Advertising mode selection strategy under manufacturer encroachment","authors":"Yuxiang Zhang, Weijun Zhong","doi":"10.1016/j.elerap.2024.101425","DOIUrl":"10.1016/j.elerap.2024.101425","url":null,"abstract":"<div><p>This paper analyzes the manufacturer and retailer’s advertising and pricing strategies within three typical modes of advertising under manufacturer encroachment and derives the optimal advertising mode. We find that if the supply chain members choose to advertise, compared to the scenario without manufacturer encroachment, the manufacturer gets more profit attributed to the expanded demand and advertising efforts, but the retailer gets more profit only if the advertising effectiveness is high. Then, we summarize that when the unit advertising cost is low, the supply chain members do not advertise under manufacturer encroachment. Thirdly, we find that retailer advertising cannot be the optimal advertising mode for the manufacturer. When the unit advertising cost is high and the substitutability level is low, joint advertising is optimal; otherwise, manufacturer advertising is optimal. Finally, we delve into the cost-sharing joint advertising strategy of the supply chain members, and find that within the scenario of cost-sharing joint advertising, the manufacturer can get more profit at the retailer’s expense compared to other advertising modes.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101425"},"PeriodicalIF":6.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405762","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

HeteLFX: Heterogeneous recommendation with latent feature extraction HeteLFX：利用潜在特征提取进行异构推荐

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-06-11 DOI: 10.1016/j.elerap.2024.101419

Hoon Park, Jason J. Jung

{"title":"HeteLFX: Heterogeneous recommendation with latent feature extraction","authors":"Hoon Park, Jason J. Jung","doi":"10.1016/j.elerap.2024.101419","DOIUrl":"10.1016/j.elerap.2024.101419","url":null,"abstract":"<div><p>This study proposes a heterogeneous recommendation model that does not rely on data sharing. Previous studies have predominantly focused on nested homogeneous domains that share data. However, this approach encounters issues as it could lead to diminished recommendation performance when there is a scarcity of redundant data within these domains. To overcome these challenges, we propose the HeteLFX model, which extracts and bridges the latent features (LF) of each domain. This model resolves the problems by leveraging the metainformation of domain items to generate an LF. LF is extracted for each domain, and bridges are established based on the relevance of the latent knowledge, thereby enabling heterogeneous recommendations. The efficacy of the HeteLFX model was assessed by comparing it with four other heterogeneous recommendation systems, which are variants of X-Map and NX-Map. The results revealed that the HeteLFX model improved performance by reducing the mean absolute error (MAE) by approximately 0.3, thereby underscoring the superiority of the model. Additionally, HeteLFX reduced the MAE by up to approximately 0.45, depending on the relevance of the data within the domain.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101419"},"PeriodicalIF":5.9,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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

IF 6 3区管理学

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

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

引用次数: 0

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

IF 6 3区管理学

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

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

{"title":"Improved negative sampling method in collaborative filtering recommendation based on Generative adversarial network","authors":"Mingjie Li , Yunhan Liu , Weiwei Jiang , Yuxuan Zhu , Jiuchuan Jiang , Mingfeng Jiang , Shuqing Li","doi":"10.1016/j.elerap.2024.101412","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101412","url":null,"abstract":"<div><h3>Objective</h3><p>The problem of low model performance caused by the lack of negative samples in the recommendation method based on implicit feedback information can be solved.</p></div><div><h3>Methods</h3><p>The implicit feedback recommendation model DAEGAN is constructed based on the conditional generative adversarial network framework. The Denoising Auto-Encoder is used as a generator to capture nonlinear potential factors in the interaction and improve the robustness of model. In this paper, a strong and weak negative sampling strategy is proposed, which combines the visibility of user in time points to mine uninteresting items and acquire strong negative samples, and injects these information into the model by modifying the masking mechanism to solve the problem of missing negative samples.</p></div><div><h3>Results</h3><p>Experiments on MovieLens 100 K, Amazon Movie and TV, MovieLens 1 M datasets show that the recommendation accuracy of CFGAN based on strong and weak negative sampling and DAEGAN proposed in this paper has been improved.</p></div><div><h3>Limitations</h3><p>The generation of strong negative samples is based on user interaction records, which cannot solve effectively cold start problems in extremely sparse data.</p></div><div><h3>Conclusions</h3><p>After DAEGAN application, the strong and weak negative sampling method proposed in this paper has generally higher recommendation accuracy than those mainstream recommendation algorithms. The code is available at <span>https://github.com/nanjingzhuyuxuan/DAEGAN</span><svg><path></path></svg>.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"66 ","pages":"Article 101412"},"PeriodicalIF":6.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141250177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0