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    ICEMBDA

    Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

    The 4th International Conference on Economic Management and Big Data Applications was successfully held in Tianjin, China from October 27th to 29th, 2023. This conference served as a platform for researchers, scholars, and industry professionals to exchange knowledge and insights in the field of ec…

    The 4th International Conference on Economic Management and Big Data Applications was successfully held in Tianjin, China from October 27th to 29th, 2023. This conference served as a platform for researchers, scholars, and industry professionals to exchange knowledge and insights in the field of economic management and the application of big data. The conference held great significance in advancing the understanding and application of economic management and big data. By bringing together experts from around the globe, the conference facilitated the exchange of innovative ideas and research findings, contributing to the development of these fields. The topics covered during the conference showcased the latest advancements and trends in enterprise economic statistics, information evaluation, blockchain technology, industrial structure optimization, information retrieval, data regression analysis, intelligent Internet of Things platforms, and data encryption.

    The discussions and presentations during the conference allowed participants to explore new methodologies, strategies, and technologies that can enhance economic management practices and leverage the potential of big data. The conference provided a platform for scholars and practitioners to share their experiences, insights, and best practices, fostering collaboration and networking opportunities.

    Furthermore, the proceedings were published, ensuring the dissemination of valuable research findings to a wider audience. The collective knowledge and research presented at the conference will contribute to the academic community, industry professionals, and policymakers, enabling them to make informed decisions and develop effective strategies in the fields of economic management and big data applications.

    Overall, the 4th International Conference on Economic Management and Big Data Applications played a pivotal role in promoting knowledge exchange, fostering innovation, and shaping the future of economic management by harnessing the power of big data.

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    Editor(s): Jianguo Liu (Shanghai University of Finance and Economics, China), Haifeng Li (Dalian Jiaotong University, China) and Sikandar Ali Qalati (Jiangsu University, China)
    Publisher
    EAI
    ISBN
    978-1-63190-444-8
    ISSN
    2593-7642
    Series
    CORE
    Conference dates
    27th–29th Oct 2023
    Location
    Tianjin, People's Republic of China
    Appeared in EUDL
    2024-01-19

    Copyright © 2024–2025 EAI

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    • Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Zelei Jiang, Puchao Li, Huanhuan Ren, Bin Xu, Wei Peng
    • Major Shareholder Tunneling and Irrational Donations

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Yi Zhang, Jiaqi Luo
    • Proceedings Research on the Path of High-Quality Development of Big Data Industry in Shandong Province

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Yu Wang, Mingle Zhou, Chunjing Wang, Xingheng Mei, Yumei Li
    • Research on Commercial Factoring Settlement Risk Based on Blockchain Technology

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Yuping Zhou, Ruolin Hu
    • Research on Risk Assessment Model of Electricity Spot Market Considering Local Grid and Incremental Distribution Network

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Yunwang Hu, Feifei Zhou, Jianzhao Li, Hongpeng Qi, Yiwei Yu, Yining Yang
    • Research on the Path of Industrial Intelligence Promoting the Upgrading of Manufacturing Industry

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Wenhao Liu, Delong Han, Mengmeng Sun, Qianlong Liu
    • Research on the Problems and Measures of Guangxi Rural Collective Construction Land Market Circulation in the Context of New Land Management Law

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Tianyue Wang
    • Strategic Optimization of Elevator Insurance in a Risk-Managed Landscape: Insights from China

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Haozhong Wu, Wen Deng, Tiantian Zhang, Hao Zou, Chao Yu, Tingjie Zhang
    • A Case Study on the Realization Path of Digital-Real Economy Integration in Chinese Enterprises Based on Grounded Theory

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Lei Xiao, Yanyan Wu, Jiapeng Xiao
    • Analysis of Factors Influencing College Students' Entrepreneurship in Hometown based on Rural Vitalization Context

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Jing Zhang, Jin Cheng
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