Recent Trends in Decision Science and Management: Proceedings of Icdsm 2019: 1142 - Brossura

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ISBN 10: 9811535876 ISBN 13: 9789811535871

Casa editrice: Springer Nature, 2020

Riassunto

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.

 

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Informazioni sull?autore

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.

Dalla quarta di copertina

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.

 

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 9811535876
• ISBN 13: 9789811535871
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 804
• Redattore: Wang Tao-sheng, Ip. Andrew W. H., Tavana Madjid, Jain Vipul
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania