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ICEMBDA 2023
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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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    • A Study on the Evaluation Index System for the Operation and Development of Electricity Wholesale Markets Based on FAHP-DEMATEL: A Case Study of Henan 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

      Jianing Zhu, Yang Han, Hao Yin, Bo Sui, Mei Wang, Haibo Wu, Mingshun Ji, Xinrui Zhong
    • A study on the Impact of Environmental Regulations on the Quality of Exported Products in China's 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

      Chenxue Ren, Lingbo Tan
    • An Empirical Study on Enhancing Online Exhibition Experiences: Quantitative Analysis Based on Multiple Models

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

      Zhongyu Huang, Shuyue Zhang, Xintao Xu, Zhefan Sheng
    • E-commerce Credit Evaluation Model Based on Blockchain

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

      Wenxia Tong, Rui Zhang, Huijian Han
    • Evaluation of Investment Project Prioritization of Power Grid Based on TOPSIS 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

      Xiaofan Niu, Jia Li, Yu Cheng, Jiawei Wang, Xinpei Huang
    • Influencing Factors and Mechanism of Enterprise Technological Innovation Capability Based on Interpretative Structural 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

      Xinhui Chai
    • Research on Supplier Evaluation Method Based on Improved Fuzzy Evaluation 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

      Rui Ma, Zhong Yang, Zhuowen Li, Xiaojie Zhang, Lingyun Mao
    • Analysis of Hot Spots and Trends in China's Shopping Aging Research Based on Knowledge Mapping

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

      Yanmin Xue, Shuting Chen, Yang Liu
    • Application of EEG-based Machine Learning in Stock Trading-related Emotion Recognition

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

      Mingliang Zuo, Bingbing Yu, Li Sui
    • Based on Blockchain Technology and Genetic Algorithms Logistics and Supply Chain Optimization

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

      Rongze Gao, Tianqi Liu
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