UID:
almahu_9948253964302882
Format:
XX, 315 p. 117 illus., 77 illus. in color.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9783030382278
Series Statement:
Advances in Intelligent Systems and Computing, 1009
Content:
This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds) .
Note:
Calibrating Methods for Decision Making Under Uncertainty -- Coordination and Search for New Solutions: An Agent-based Study on the Tension in Boundary Systems -- Appeasement or Radicalism: A Game between Intruders and Occupiers -- Coping with bounded rationality, uncertainty, and scarcity in product development decisions: experimental research -- What Next for Experimental Economics? Searching for an Alternative Pathway Founded on Mathematical Methods -- Generating Neural Archetypes to Instruct Fast and Interpretable Decisions.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030382261
Additional Edition:
Printed edition: ISBN 9783030382285
Language:
English
DOI:
10.1007/978-3-030-38227-8
URL:
https://doi.org/10.1007/978-3-030-38227-8
