Intersection between Information Technology and Quantitative Management

Background

Recent advancements in information technology, particularly the emergence of artificial intelligence (AI) tools such as machine learning, deep learning, and large language models, have significantly impacted the field of management science. Leveraging their powerful capabilities to analyze unstructured data including text, images, and videos rich in information, these advanced IT techniques have enabled numerous tasks to be performed with greater efficiency and effectiveness.

Goal/Rationale

This special session aims to provide a dynamic platform for researchers and practitioners to discuss and explore the integration of cutting-edge IT advancements with quantitative management methodologies. Participants will have the opportunity to publish their research findings, ensuring that innovative work in this domain reaches a global audience.

Scope

This special session will focus on a range of interdisciplinary topics, including but not limited to:

• Big Data Mining Theories and Tools
• Quantitative Analysis and Quantitative Management
• IT-supported Decision Support System
• Optimization Techniques in Data Mining
• Business Intelligence & Analytics
• Statistical Techniques in Quantitative Management
• Machine Learning and Deep Learning