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

ISBN-13: 9789811535871 / Angielski / Miękka / 2020 / 786 str.

Tao-Sheng Wang; Andrew W. H. Ip; Madjid Tavana

Spis treści

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.

O autorze

Dr. Tao-Sheng Wang is a Professor of Applied Economics (International Trade Direction), Director of the Chinese Society of World Economy, Vice Chairman of the Expert Committee of the China Association of Trade in Service. He is also the Dean of the School of Business at Hunan International Economics University and Chief Expert of the provincial-level social science key research base. His main research areas are international economic and trade theory and policy, institutional innovation and international trade, and international competitive advantage and competitive strategy.   

Dr Andrew W. H. Ip is a Principal Research Fellow, Associate Director of IGDS at Hong Kong Polytechnic University (PolyU), and an Honorary Fellow of the University of Warwick, Warwick Manufacturing Group. He was previously in-charge of the RFID laboratory and an Associate Professor at Hong Kong Polytechnic University. He is a chartered engineer, senior member of IEEE,  and a member of the Hong Kong Institution of Engineers, as well as various professional bodies in mechanical and electrical engineering.

 Dr. Madjid Tavana is a Professor and Lindback Distinguished Chair of Business Analytics at La Salle University. He also holds an Honorary Professorship in Business Information Systems at the University of Paderborn in Germany.  Dr. Tavana is a Distinguished Research Fellow at the Kennedy Space Center, the Johnson Space Center, the Naval Research Laboratory at Stennis Space Center, and the Air Force Research Laboratory. He was recently honored with the prestigious Space Act Award by NASA. 

Dr. Vipul Jain is an Associate Professor of Operations and Supply Chain Management at Victoria Business School, Victoria University of Wellington, New Zealand. He is the Editor-in-Chief of the International Journal of Intelligent Enterprise and an editorial board member for seven international journals.

Blurb

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.