TY  - GEN
N2  - 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 International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.
DO  - 10.1007/978-981-13-9330-3
DO  - doi
AB  - 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 International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.
T1  - New paradigm in decision science and management :proceedings of ICDSM 2018 /
AU  - Patnaik, Srikanta,
AU  - Ip, Andrew W. H.
AU  - Tavana, Madjid,
AU  - Jain, Vipul,
VL  - volume 1030
CN  - HD30.23
N1  - Includes author index.
ID  - 922761
KW  - Decision making
KW  - Management
SN  - 9789811393303
SN  - 9811393303
TI  - New paradigm in decision science and management :proceedings of ICDSM 2018 /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9330-3
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-9330-3
ER  -