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

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

The impact of online medical team participation on physicians’ individual online service 在线医疗团队的参与对医生个人在线服务的影响

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101468

Wenchao Du , Xitong Guo , Tianshi Wu , Wu Liu , Doug Vogel

引用次数: 0

Consumer private data collection strategies for AI-enabled products 针对人工智能产品的消费者私人数据收集策略

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101460

Zhaojun Yang , Yinmeng Li , Jun Sun , Xu Hu , Yali Zhang

{"title":"Consumer private data collection strategies for AI-enabled products","authors":"Zhaojun Yang , Yinmeng Li , Jun Sun , Xu Hu , Yali Zhang","doi":"10.1016/j.elerap.2024.101460","DOIUrl":"10.1016/j.elerap.2024.101460","url":null,"abstract":"<div><div>The increasing use of artificial intelligence (AI) to enhance products and services has enabled personalized offerings and smarter functionalities through the analysis of consumer data. However, privacy concerns present significant challenges to the effective utilization and commercialization of AI-enabled products. To address these concerns, firms must carefully navigate consumer data privacy and develop appropriate data collection strategies to support future product intelligence, particularly with AI technologies like ChatGPT. This study examines two primary data collection approaches: the uniform policy strategy and the option menu strategy. A mathematical model is constructed to assess these strategies, considering factors such as information externalities and heterogeneous consumer privacy concerns. By comparing firm profits, consumer surplus, and social welfare under both strategies, the study finds that the option menu strategy becomes optimal when there are considerable differences in privacy concerns across consumer groups or when even smaller differences exist, but consumers place a high value on personalized services. These insights offer guidance to firms and policymakers in formulating appropriate data collection strategies for AI-enabled products.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101460"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656589","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

Digitally-enabled antecedents of trust, repurchase intention and the impact of blockchain traceability labels 区块链溯源标签的信任、回购意向和影响的数字化先决条件

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101469

Lin Zhang , Zhen Shao , Tuo Zhao , Xiaotong Li , Jianfeng Zhang

{"title":"Digitally-enabled antecedents of trust, repurchase intention and the impact of blockchain traceability labels","authors":"Lin Zhang , Zhen Shao , Tuo Zhao , Xiaotong Li , Jianfeng Zhang","doi":"10.1016/j.elerap.2024.101469","DOIUrl":"10.1016/j.elerap.2024.101469","url":null,"abstract":"<div><div>Despite the growing literature focusing on digitalization in e-commerce, there remains a scarcity of studies exploring innovative ways to enhance online consumers’ trust. Our study investigates the digitally-enabled antecedents of diverse trust targets and the moderating effect of blockchain traceability labels on trust-related behaviors. The data was collected from 346 consumers through the between-subject quasi-experiment in a Chinese digital commerce platform, and structural equation modeling was used to analyze the research model and hypotheses. Our findings reveal that digitally-enabled product informativeness and product quality are important antecedents contributing to trust in products, while digitally-enabled platform reputation and platform assurance serve as significant precursors for trust in platform. Furthermore, a multi-group analysis discloses that the roles of trust targets’ effects on repurchase intention are dependent upon the adoption of blockchain traceability labels. Expanding the trust-building framework by exploring digitally-enabled antecedents towards two distinct trust targets, our study delivers valuable insights into the digital transformation process of e-commerce.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101469"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723177","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 effects of physician’s brand positioning on diagnostic dispensing continuity and cross-provincial healthcare flow: Evidence from an online traditional Chinese medicine community 医生品牌定位对诊断配药连续性和跨省医疗流动的影响：来自在线中医社区的证据

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101462

Weiyi Qin, Hong Wu, Sihan Wan

{"title":"The effects of physician’s brand positioning on diagnostic dispensing continuity and cross-provincial healthcare flow: Evidence from an online traditional Chinese medicine community","authors":"Weiyi Qin, Hong Wu, Sihan Wan","doi":"10.1016/j.elerap.2024.101462","DOIUrl":"10.1016/j.elerap.2024.101462","url":null,"abstract":"<div><div>Given the dilemma of inheriting and protecting Traditional Chinese Medicine (TCM), online personal branding can be an effective solution for TCM physicians to promote themselves and provide patients with better choices. However, there is a lack of understanding of the antecedents and consequences of TCM physicians’ brand value on online traditional Chinese medicine community (OTCMC). This paper empirically investigates the influences of physician brand positioning on brand value and added value, and examines the moderating effects of service quality and TCM regional disparity. Our results show that physicians on OTCMC could increase their brand value and added value by improving professional level, service price, and integration degree of four diagnostic methods. Moreover, service quality and TCM regional disparity positively moderate these effects. Our research contributes to the OTCMC literature and provides practical implications for TCM physicians to create brand value in online environment.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101462"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577843","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

Who should provide a trade-in service under the online agency-selling mode? 谁应在网上代理销售模式下提供以旧换新服务？

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101454

Xigang Yuan , Zujun Ma , Xiaoqing Zhang , Dalin Zhang

{"title":"Who should provide a trade-in service under the online agency-selling mode?","authors":"Xigang Yuan , Zujun Ma , Xiaoqing Zhang , Dalin Zhang","doi":"10.1016/j.elerap.2024.101454","DOIUrl":"10.1016/j.elerap.2024.101454","url":null,"abstract":"<div><div>In real world practice, trade-in programs are offered by either a manufacturer or an e-commerce platform. Parties that offer a trade-in service are faced with a trade-off between trade-in rebates and the residual income. By adopting the game theory, this paper explored the selection of trade-in provider with respect to a manufacturer and an e-commerce platform. The results show that in some cases, all trade-in models generated higher manufacturing costs than models with no trade-in program. However, in other cases, not all trade-in models can cope with manufacturing costs that are higher than those associated with models that have no trade-in program. Furthermore, both above two firms will offer the trade-ins when profits which they have obtained satisfied a certain condition. We also identified an interesting phenomenon whereby the manufacturer decided whether it wanted to delegate the trade-ins to the e-commerce platform or provide it jointly. The e-commerce platform can decide whether it wants to accept the delegation or jointly offer it. This study also obtain that trade-in models makes customers get more surplus and can produce greater environmental benefits. Moreover, both the customer surplus and the environmental benefits in delegated trade-in model is the same that in jointly trade-in model.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101454"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552724","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

Sustaining superior visibility within digital platforms through inside and outside competitive action repertoires 通过内部和外部的竞争行动，在数字平台上保持卓越的知名度

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101456

Joaquin Rodriguez , Gabriele Piccoli

{"title":"Sustaining superior visibility within digital platforms through inside and outside competitive action repertoires","authors":"Joaquin Rodriguez , Gabriele Piccoli","doi":"10.1016/j.elerap.2024.101456","DOIUrl":"10.1016/j.elerap.2024.101456","url":null,"abstract":"<div><div>Although often credited with leveling the competitive playing field, platforms pose novel challenges for millions of complementors within their ecosystems. This study explores the tactics complementors use to maintain superior visibility on these platforms. Building on competitive repertoire theory, we conceptualize two categories of competitive actions that capture the dual environmental complexity faced by complementors: <em>inside</em> and <em>outside</em> competitive moves. We assemble a unique dataset from a leading food delivery platform in Europe, providing a comprehensive view of complementors’ competitive repertoires and visibility over ten months. We find that complementors’ inside competitive repertoires with high volume and complexity are associated with sustained superior visibility. However, we also find that complementors whose competitive repertoires diverge from those of their competitors are more likely to exit the superior visibility strata. Additionally, we identify outside action repertoires as a second pathway to differentiation, built on complementors’ idiosyncratic resources and less dependent on platform architecture and rules.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101456"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572551","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

Home is best: Review source and cross-border online shopping 家是最好的：审查来源和跨境网上购物

IF 5.9 3区管理学

Electronic Commerce Research and Applications Pub Date : 2024-11-01 DOI: 10.1016/j.elerap.2024.101457

Chao Fang , Shuzhong Ma

引用次数: 0

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

IF 5.9 3区管理学

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

Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang

{"title":"A comparative study of various recommendation algorithms based on E-commerce big data","authors":"Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang","doi":"10.1016/j.elerap.2024.101461","DOIUrl":"10.1016/j.elerap.2024.101461","url":null,"abstract":"<div><div>With the rapid development of the Internet and the concomitant exponential growth of information, we have entered an era characterized by information overload. The abundance of data has rendered it increasingly arduous for users to pinpoint specific information they require. However, various forms of recommendation algorithms proffer solutions to this challenge. These algorithms predict items or products that may pique users’ interest based on their historical behavior, preferences, and interests. As one of the current hot research fields, recommendation algorithms are extensively employed across E-commerce platforms, movie streaming services, and various other contexts to cater to the diverse needs of users. In this context, a multi-recommendation algorithms comparison platform is proposed, which includes a two-fold model: online evaluation and offline evaluation. Taking the data set of the Chinese Amazon online shopping mall as the experimental data, item-based collaborative filtering (Item-CF) algorithm, content-based (TF-IDF) algorithm, item2vec model, alternating least squares (ALS) algorithm and neural network algorithm are evaluated in the offline model. In the real-time recommendation part, model-based algorithm is used to achieve the users’ rating mechanism. And the metrics used for evaluation include: precision, recall, accuracy and performance. The experimental results show that the average performance of hybrid algorithms such as ALS algorithm and neural network algorithm is higher than that of other traditional algorithms, and the real-time recommendation system achieves the purpose of improving recommendation speed. By integrating various recommender algorithms into the multi-recommendation algorithms comparison platform, this platform automatically computes and presents various performance indicators based on the user-provided dataset. It aids E-commerce platforms in making informed decisions regarding algorithm selection.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101461"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0