Social Media Integration and E-Commerce Platform Performance: A Randomized Field Experiment

Huang, Ni; Sun, Tianshu; Chen, Pei-Yu; Golden, Joseph M.

doi:10.2139/ssrn.2969670

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…E-commerce is a prevalent feature of modern society, notably in countries like the United States and China, where it constitutes a significant portion of daily consumer purchases [1]. Mainstream e-commerce platforms incorporate reputation systems, which play a crucial role in guiding consumers' decision-making [2]. By enabling users to appraise and critique sellers upon their encounters, these systems provide invaluable perspectives on the quality of products and services.…”

Section: Introductionmentioning

confidence: 99%

ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms

Chen,

Feng,

Zhao

et al. 2024

Mathematics

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E-commerce platforms incorporate reputation systems that allow buyers to rate sellers after transactions. However, existing reputation systems face challenges such as privacy leakage, linkability, and multiple rating attacks. The feedback data can inadvertently expose user information privacy because they reveal the buyers’ identities and preferences, which deters a significant number of users from providing their ratings. Moreover, malicious actors can exploit data analysis and machine learning techniques to mine user privacy from the rating data, posing serious threats to user security and trust. This study introduces ARS-Chain, a pioneering and secure blockchain-driven anonymous reputation-sharing framework tailored for e-commerce platforms. The core of ARS-Chain is a dynamic ring addition mechanism with linkable ring signatures (LRS), where the number of LRS rings is dynamically added in alignment with the evolving purchase list, and LRS link tags are constructed with the LRS rings and item identifiers. Further, a consortium blockchain is introduced to store these anonymous ratings on e-commerce platforms. As a result, ARS-Chain ensures full anonymity while achieving cross-platform reputation sharing, making rating records unlinkable, and effectively countering multiple rating attacks. The experimental results confirm that ARS-Chain significantly enhances user information privacy protection while maintaining system performance, having an important impact on the construction of trust mechanisms for e-commerce platforms.

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Section: Introductionmentioning

confidence: 99%

ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms

Chen,

Feng,

Zhao

et al. 2024

Mathematics

View full text Add to dashboard Cite

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Observational Learning in the Product Configuration Process: The Effect of Information Presentation Format

Wang

2019

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Design of a User Comment Management System Based on Text Mining

Abudureheman

2023

Journal of Organizational and End User Computing

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Presently, text mining in e-commerce reviews predominantly focus on singular sentiment analysis, yet constraints persist in sentiment score computation, semantic inclination discernment, and lexicon construction. To address these limitations, this study establishes an e-commerce user comment management system based on text mining. It performs part-of-speech tagging and dependency grammar analysis on the historical corpus of e-commerce, unveiling collocations that potentially convey users' emotive predispositions. Subsequently, a dependency grammar rule table is formulated for the extraction of emotional words. The enhanced BiGRU model is employed for bidirectional extraction of textual features, which are subsequently fused with the TextCNN model. Test results evince that the system effectively accomplishes the desired objectives, with positive comments attaining accuracy and recall rates of 93.49% and 96.98%, respectively, thereby mitigating the drawbacks associated with laborious operations and inadequate precision inherent in extant e-commerce comment analysis systems.

show abstract

Social Media Integration and E-Commerce Platform Performance: A Randomized Field Experiment

Cited by 3 publications

References 36 publications

ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms

ARS-Chain: A Blockchain-Based Anonymous Reputation-Sharing Framework for E-Commerce Platforms

Observational Learning in the Product Configuration Process: The Effect of Information Presentation Format

Design of a User Comment Management System Based on Text Mining

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