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    ICBBEM

    Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

    The 2nd International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2023) was successfully held on 19-21 May 2023 in Hangzhou, China. The conference aims to present the latest research results in the areas related to Big Data, Blockchain and Economic Management, and provide an opp…

    The 2nd International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2023) was successfully held on 19-21 May 2023 in Hangzhou, China. The conference aims to present the latest research results in the areas related to Big Data, Blockchain and Economic Management, and provide an opportunity for experts and scholars from various fields to meet face-to-face, exchange new ideas and practical experiences, establish business or research relationships, and seek future international cooperation. This volume contains a collection of excellent papers from the conference, presented on topics such as computer software and computer applications, blockchain in data management, e-commerce and digital commerce, and linear regression analysis. We hope that these papers will serve as a reference for young scholars in their future research.

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    Editor(s): Liu Lin (Beihang University, China), Zhang Kun (Hainan Tropical Ocean University, China) and Kannimuthu S. (Karpagam College of Engineering, India)
    Publisher
    EAI
    ISBN
    978-1-63190-416-5
    ISSN
    2593-7642
    Series
    CORE
    Conference dates
    19th–21st May 2023
    Location
    Hangzhou, People's Republic of China
    Appeared in EUDL
    2023-07-24

    Copyright © 2023–2025 EAI

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    • Analysis of Factors Influencing the Effectiveness of Online Video Communication in the Era of Big Data -- an empirical study based on bilibili

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Xinyu Ma
    • Analysis of the Factors Affecting Economic Growth by Energy Consumption and Energy Structure in Sichuan Province—Based on Grey Relation Analysis of Mathematical Model

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Xuehang Liu, Hua Zhang
    • Analysis on E-Commerce Companies’ Business Strategies Based on Shipping Data

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Yue Yu, Yingyuan Lin
    • Building a Broad Asset Class Allocation Strategy Based on RBF Neural Networks

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Wufu Chen, Peiying Ye, Lan Wei
    • Covid-19 Vaccination Hesitancy: Sentiment Analysis of Twitter Posts

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Dadian Qu, Yuming Chen, Taoyu Mao, Xinyu Dai
    • Digital Transformation and Upgrading of Elderly Care Industry

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Yuelin Yin
    • Exploration of the Influence between Network Environment and Enterprise Accounting Using Computational Model

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Chao Li
    • Historical Factors, National Distance and Cross-border M&A

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Caixing Liu, Ranran Lv
    • How NFT Digital Collectibles Platforms can Retain Gen Z Loyalty -Analyze the Topnod Platform with a Structural Equation Model

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Ruoxuan Xu, Shuo Chen, Runwei Deng, Hongyu Lin, Haonan Xu
    • Managerial Overconfidence, Industry Supporting Policy and Merger and Acquisition Performance: An Empirical Study Based on Stata Multiple Linear Regression Model

      Research Article in Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

      Qun Hong, Shuzhen Wang, Jing Peng, Yilin Hong
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