Información de la conferencia

ICEME 2026: International Conference on E-business, Management and Economics

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ICEME
Día de Entrega:
2026-05-30 Extended
Fecha de Notificación:
2026-06-10
Fecha de conferencia:
2026-07-10
Ubicación:
Beijing, China
Ediciones:
17
Vistas: 18291   Seguidores: 6   Asistentes: 2

Solicitud de Artículos

ICEME 2026 (International Conference on E-business, Management and Economics) is an academic conference held in Beijing, China on 2026-07-10. The paper submission deadline is 2026-05-30 (extended). Acceptance notifications are sent on 2026-06-10.

The topics of interest include, but are not limited to: 1. AI in Consumer Behavior Analysis and Personalization Understanding Consumer Preferences with AI Personalized Marketing Strategies using Machine Learning AI for Dynamic Pricing Models in E-Commerce Behavioral Segmentation Using AI Tools 2. AI for Optimizing E-Commerce Supply Chain and Inventory Management Demand Forecasting using AI and Big Data AI for Inventory Optimization and Stock Replenishment Smart Logistics: AI and Automation in E-Commerce Shipping AI-Driven Supply Chain Resilience 3. AI in E-Commerce Fraud Detection and Cybersecurity Machine Learning for Fraud Detection in Digital Transactions AI for Cybersecurity: Protecting Data and Consumer Trust AI-Enhanced Identity Verification Systems Predictive Risk Analysis for E-Commerce 4. AI-Enhanced Smart Commerce Systems Generative AI for Cross-Border Supply Chain Optimization Intelligent Pricing Algorithms and Dynamic Market Forecasting Blockchain-AI Synergy in Transparent Trade Systems Smart Decision Models for Sustainable Energy Economics 5. Secure AI-Driven Transactions Privacy-Preserving User Analytics via Federated Learning Cryptographic Solutions for Cross-Border Payments and Smart Contracts AI-Powered Fraud Detection and Digital Identity Verification E-Commerce Security Architectures in the Quantum Computing Era 6. Cognitive Technologies in Business Intelligence Multimodal Cognitive Computing for Consumer Behavior Prediction Large Language Models (LLMs) in Intelligent Customer Service Systems Neuroeconomics and Brain-Computer Interface Integration Explainable AI (XAI) for Financial Auditing and Decision Support 7. Intelligent Automation in Business Process Management AI-Driven Workflow Automation for Supply Chain Resilience Robotic Process Automation (RPA) in Financial Auditing and Compliance Natural Language Processing (NLP) for Contract Analysis and Risk Mitigation Ethical AI Governance in Automated Decision-Making Systems 8. Computational Intelligence for Sustainable E-Commerce AI-Optimized Carbon Footprint Tracking in Global Trade Reinforcement Learning for Energy-Efficient Logistics Networks Predictive Analytics in Circular Economy Business Models Bias Mitigation in AI-Driven Consumer Demand Forecasting 9. Industry-Specific Empirical Studies: Implementation Cases of Intelligence-Driven Business and Economic Value Manufacturing industry: Practical pathways of "production data-efficiency improvement-cost optimization" in smart factories (including industrial internet and predictive maintenance) Financial industry: Data-driven balance between risk and return: Empirical research on intelligent risk control, algorithmic wealth management, and digital payment Retail industry: Omnichannel data collaboration: Case analysis of precision marketing, inventory optimization, and customer Lifetime Value (LTV) enhancement Healthcare and agriculture: Intelligent conversion of health data (personalized diagnosis and treatment) and value realization of agricultural data (yield prediction, pest and disease monitoring) Other related issues
Última actualización por Dunn Carl el

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