Advances in Decision Science and Management (eBook)

Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021)

Taosheng Wang, Srikanta Patnaik, Andrew W.H. Ip, Madjid Tavana (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2022
XXV, 707 Seiten
Springer Singapore (Verlag)
978-981-16-2502-2 (ISBN)

Infos

This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and 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 Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.

Prof. (Dr.) Tao-Sheng Wang is a professor of Applied Economics (International Trade Direction), a specialist of General Office of the State Council, a director of Chinese Society of World Economy, a vice chairman of the Expert Committee of China Association of Trade in Service, master tutor. He is the dean of School of Business of Hunan International Economics University, a chief expert of the provincial-level social science key research base. He is also a foregoer of provincial-level key construction course 'international trade,' provincial-level teaching team 'international trade,' and provincial-level characteristic specialty 'international economics and trade.'. His main research areas are international economic and trade theory and policy; institutional innovation and international trade; international competitive advantage and competitive strategy.

Dr. Srikanta Patnaik is a professor in the Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. He has received his Ph.D. (Engineering) on Computational Intelligence from Jadavpur University, India, in 1999, and supervised 18 Ph.D. theses and more than 50 M.Tech. theses in the area of machine intelligence, soft computing applications and re-engineering. He has published more than 80 research papers in international journals and conference proceedings. He is the author of 2 textbooks and edited 50 books and few invited book chapters, published by leading international publishers like Springer-Verlag, Kluwer Academic, etc.He was Principal Investigator of TAPTEC project 'Building Cognition for Intelligent Robot' sponsored by All India Council for Technical Education, New Delhi and Major Research Project 'Machine Learning and Perception using Cognition Methods' sponsored by University Grant Commission. He is the editors-in-chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and also an editors-in-chief of Book Series on 'Modeling and Optimization in Science and Technology' published from Springer, Germany. 

Dr. Andrew W. H. Ip received his Ph.D. from Loughborough University (UK), M.B.A. from Brunel University (UK), M.Sc. in Industrial Engineering from Cranfield University (UK), and LLB (Hons) from the University of Wolverhampton (UK). He was awarded in 2015 'Gold Medal with the Congratulations of Jury' and 'Thailand Award for Best International Invention' in the 43rd International Exhibition of Geneva, and he was awarded the 'Natural Science Award' in 2013 Ministry of Education Higher Education Outstanding Scientific Research Output Awards by the Ministry of Education of Mainland China. He is a visiting professor of Civil Aviation University of China, Sun Yat-Sen University, South China Normal University, University of Electronic Science and Technology of China, and Honorary Fellow of the University Warwick, Warwick Manufacturing Group. He is a principal research fellow and an associate director of IGDS, a postgraduate program joint with the Warwick University and the Hong Kong Polytechnic University. He was previously a laboratory-in-charge of the RFID laboratory and an associate professor of the Hong Kong Polytechnic University. He is a chartered engineer, a senior member of IEEE, a member of Hong Kong Institution of Engineers, and a members of 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, where he serves as a chairman of the Business Systems and Analytics Department. He also holds an honorary professorship in Business Information Systems at the University of Paderborn in Germany.  He 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. He holds M.B.A., PMIS, and Ph.D. in Management Information Systems and received his Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He has published 11 books and over 200 research papers in international scholarly academic journals.  He is the editor-in-chief of Decision Analytics, International Journal of Applied Decision Sciences, International Journal of Management and Decision Making, International Journal of Knowledge Engineering and Data Mining, International Journal of Strategic Decision Sciences, and International Journal of Enterprise Information Systems.

Produkt-Details

• Erscheint lt. Verlag: 26.7.2021
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Zusatzinfo: XXV, 707 p. 142 illus., 63 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Collaborative Decision Software Design • ICDSM 2021 • ICDSM Proceedings • Intelligent Decision Support System • Knowledge Management in Decision Science • Online Analytical Processing System
• ISBN-10: 981-16-2502-6 / 9811625026
• ISBN-13: 978-981-16-2502-2 / 9789811625022