Invitation to Submit
제출 안내
The International Conference on Big Data Analytics for Supply Chain Management , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Big Data Analytics for Supply Chain Management , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Big Data Analytics For Supply Chain Efficiency
Predictive Analytics In Inventory Management
Data-driven Logistics Optimization Strategies
Supply Chain Risk Management Using Data
Real-time Tracking And Data Integration
Data Visualization For Supply Chain Insights
Machine Learning In Demand Forecasting
Blockchain Applications In Supply Chain
Sustainable Supply Chain Practices With Data
Data Ethics In Supply Chain Management
Collaborative Supply Chain Networks And Data
Data-driven Supplier Performance Evaluation
Iot Applications In Supply Chain Logistics
Big Data Challenges In Supply Chain
Data-driven Customer Demand Analysis
Supply Chain Transparency Through Data
Data Integration Across Supply Chain Partners
Future Trends In Supply Chain Analytics
Data-driven Decision Making In Procurement
Impact Of Ai On Supply Chain Efficiency
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.