Overview
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 474)
Included in the following conference series:
Conference proceedings info: ICDSST 2023.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.
The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”.
The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models,methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.
Similar content being viewed by others
Keywords
Table of contents (22 papers)
-
DSS Models, Methods and Tools
-
DSS for Business Performance and Stakeholders
-
DSS Applications for Sustainability - Health, Energy and Transportation
Other volumes
-
Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins
Editors and Affiliations
Bibliographic Information
Book Title: Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins
Book Subtitle: 9th International Conference on Decision Support System Technology, ICDSST 2023, Albi, France, May 30 – June 1, 2023, Proceedings
Editors: Shaofeng Liu, Pascale Zaraté, Daouda Kamissoko, Isabelle Linden, Jason Papathanasiou
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-031-32534-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-32533-5Published: 18 May 2023
eBook ISBN: 978-3-031-32534-2Published: 17 May 2023
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XV, 304
Number of Illustrations: 18 b/w illustrations, 72 illustrations in colour
Topics: Computer Applications, Operations Research/Decision Theory, IT in Business