Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

Conference Name: 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Date: 9-11 January 2026
Location: Guangzhou, China (Hybrid)
Website: https://www.bdedm.net/

The 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026) was held in Guangzhou, China, from January 9 to 11, 2026. Building on the successes of its four prior editions, the conference served as a focused academic exchange platform, gathering scholars, data scientists, and industry leaders to share cutting-edge research and insights. Centered on the convergence of big data with ethical governance, privacy preservation, and sustainable innovation, it also explored interdisciplinary intersections between big data analytics, environmental sustainability, and green digital transformation. Aligned with its core academic themes, such as big data in economic statistics, business model innovation, digital management, and enterprise technology innovation, the event fostered in-depth academic dialogue. By balancing technological advancement with responsible data practices, BDEDM 2026 advanced the integration of academic research and practical applications, contributing significantly to the development of a balanced and forward-looking big data economy and digital management field.

Prof. Hui An from Dalian University of Technology shared insights rooted in her expertise in financial risk management and green finance, offering valuable perspectives on big data-driven economic sustainability aligned with the conference's core themes. Assoc. Prof. Yahua Xu of Central University of Finance and Economics presented "Is Social Media Information Noise or Fundamentals? Evidence from the Crude Oil Market", exploring social media sentiment's predictive role in crude oil returns by distinguishing fundamental information from noise, which resonates with the focus on big data in economic and market analysis. Prof. Yanling Zhang from Tianjin University of Finance and Economics delivered "Big Data-Based Price Discrimination: A Technological Blessing or a Pricing Trap?", using the "Hu vs. Ctrip case" to examine legal and ethical issues of big data-driven price discrimination, reflecting the conference's emphasis on responsible data governance. These speeches, spanning financial analytics, market data applications, and data ethics, enriched academic dialogue on big data's intersection with economics and management, providing perspectives that advanced the integration of technological progress with sustainable, ethical practices.

We extend sincere gratitude to all participants whose valuable research contributions enriched the academic exchanges of BDEDM 2026. Heartfelt thanks go to the keynote speakers for their profound insights that deepened discussions on core themes of big data and digital management. We also acknowledge the organizing committee, hosts, and volunteers for their meticulous planning, dedicated coordination, and thoughtful support, which ensured the conference's smooth operation. As this successful event draws to a close, we look forward to sustaining this collaborative spirit, continuing to drive progress in the field, and advancing balanced, responsible development of the big data economy collectively.

The proceedings of BDEDM 2026 focus on the intersection of big data, economic development and digital management. They emphasize ethical governance, sustainable innovation and practical applications. Core themes include big data-driven economic statistics, enterprise transformation, business model innovation, digital and intelligent management, financial data analytics and data ethics. These align with the keynote speakers' cutting-edge research areas. The collection gathers original, high-quality studies that link academic inquiry with real-world needs. It offers valuable insights for scholars and practitioners. By integrating interdisciplinary perspectives, it advances responsible and inclusive development in the big data economy. It serves as a meaningful academic resource to foster ongoing research and collaboration in the field.

BDEDM 2026 Conference Committee