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This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20-21 September 2019.

 

Recent Trends in Decision Science and Management: Proceedings of ICDSM 2019

Part 1: Social Network & Decision Decision Science.- Chapter 1. Management of the Social Responsibility of the Legitimate Sports Organizations in China.- Chapter 2. Enterprise Social Media and Innovation: The Mediating effect of Competitor Orientation.- Chapter 3. Management of the Social Responsibility of the Grass-root Sports Organizations in China: An Examination of Huilongguan Football Association.- Chapter 4. The Moderating Effect of Risk Perception on the Evaluation of E-commerce Vendors' Attributes on Online Relationship Quality.- Chapter 5. Innovation and Practice of "Radar Signal Processing" Course Based on Construction Theory.- Chapter 6. Analysis of the Influence of Fashion Design on Clothing Structure and Garment Management.- Part 2: Decision Support System.- Chapter 7. Research on Risk Transfer Model of Real Estate Projects.- Chapter 8. Scientific Research Efficiency Evaluation Model Based on DEA and its Application Analysis-Take Shanghai as an example.- Chapter 9. Analysis and Preventions on the Financial Risks of Chinese Real Estate Market.- Chapter 10. Investment Risk Assessment and Control Strategy about Countries along the Belt and Road Based on the Topsis Methods.- Chapter 11. Interpretable Weighted Soft Decision Forest for Credit Scoring.- Chapter 12. Cross-test Case Design and Suggestions for CBTC System Interconnection.- Chapter 13. Analysis on the Influencing Factors and Countermeasures of Employee Satisfaction in Chain Enterprises-Take an Enterprise as an Example.- Chapter 14. L-CNN: An Improved Convolutional Neural Network to Capture Long Distance Dependencies.- Chapter 15. Research on Classification Evaluation Standards and Incentive and Constraint Method of Military School Teachers.