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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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    • Exploratory Study of Sustainable Automotive Supply Chain Logistics Process 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

      Ying Lan
    • Research on Consumer Behaviour Analysis and Marketing Strategy Based on Big Data

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

      Ruoxi Zhou, Yanqi Hou
    • Research on Knowledge Map of Way-finding System based on CiteSpace

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

      Shuang Sun, Mei Lyu, Yumeng Meng
    • Research on the Application of User Participation in Subway Service Design: Nudge Theory Perspective

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

      Li Zuo, Yao Feng, Mengyu Pan
    • Research on the Distribution of Asset Prices Based on the Principle of Maximum Entropy

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

      Hongying Jin, Meiyun Liu, Kuo Yang, Yong Song, Jianlin Mo, Jiayong Chen
    • Research on the Evaluation of Innovation Efficiency of Electricity Listed Enterprises Based on Three-Stage DEA

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

      Qiang Lu, Zheng Li, Nan Xu, Yuxin Xing
    • Research on the Impact of Digital Transformation on Financial Performance of Chinese Listed Companies

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

      Guangqiang Han, Shixin Tang
    • Research on the Moderating Role of Internal Controls in Supply Chain Management and Business Performance--An Empirical Analysis Based on the Data of Listed Companies of A-share Food Enterprises

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

      Xiaohong Li, Tiantian Wang
    • Research on the Practice of Wage System Reform in Typical Enterprises at Home and Abroad

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

      Lanjun Xu, Jianfei Lu, Yunfei Xu, Liyu Xia
    • Research on the Spatial Structure of the Construction Industry Chain Network Based on the Perspective of ' Region-City '

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

      Likun Zhao, Xin Zhang, Zhenjiang Liu, Xiangze Xing
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