IMMS 2026 (International Conference on Information Management and Management Sciences) is an academic conference held in Kunming, China on 2026-10-24. The paper submission deadline is 2026-06-30 (extended). Acceptance notifications are sent on 2026-07-30.
The submissions need to be related to Electronic Technology, Artificial Intelligence and Financial Technology.
The papers purely related to Business Administration CAN NOT be acceptable:
Track 1: E-commerce
Decision Support and Business Intelligence
Intelligent Recommendation Systems and Personalization
E-commerce and E-retail
AI-driven Retail Solutions
Big Data Analysis and Consumer Behavior
Co-creation in E-commerce
Track 2: Information System
IT/IS Strategy and Management
Information System Development Methods and Practices
Knowledge Management and System Integration
human-computer Interaction
Web-based New Technologies
Cross-platform Information System Design
Track 3: Information Management
Data Management and Knowledge Engineering
Artificial Intelligence Information Management
Preparing Data for Artificial Intelligence
Information Tech. Security and Risk Mitigation
Content Management and Digital Assets
IT Operations and Service Management
Track 4: AI in Supply Chain Management
Supply Chain Operations and Process Optimization
Supply Chain Technology and Blockchain Applications
Application of IoT Devices in Supply Chain
AI in Supply Chain Security
AI in Supply Chain Finance
Supply Chain Resilience and Intelligent Response System
Track 5: Digital Economy and FinTech
AI in Financial Markets and Trading
Blockchain and Cryptocurrency Applications
Digital Banking and Payment Systems
Financial Fraud Detection and Prevention
Big Data Analytics in Financial Decision Making
Digital Currency and Central Bank Digital Currencies (CBDC)
Track 6: Science & Technology Innovation and Digital Governance
Chair: Assoc. Prof. Christian Kahl, Beijing Jiaotong University, China
Digital Construction and Management of National Science and Technology Innovation Hubs
Artificial Intelligence Empowering Science and Technology Innovation Systems
Data-Driven Innovation Policy Formulation and Evaluation
Integration of Science and Digital Learning
Innovative Talent Training Technology
Information Management for Innovation Ecosystems
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