Editors:
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 414)
Conference series link(s): ICDSST: International Conference on Decision Support System Technology
Conference proceedings info: ICDSST 2021.
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Table of contents (10 papers)
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Front Matter
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Multiple Criteria Approaches
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Front Matter
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Advances in Decision Support Systems’ Technologies and Methods
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Front Matter
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Back Matter
Other Volumes
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Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management
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 aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery.
The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems’ technologies and methods.
Editors and Affiliations
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Loughborough University, Loughborough, UK
Uchitha Jayawickrama
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International Hellenic University, Kavala, Greece
Pavlos Delias
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University of Zaragoza, Zaragoza, Spain
María Teresa Escobar
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University of Macedonia, Thessaloniki, Greece
Jason Papathanasiou
Bibliographic Information
Book Title: Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management
Book Subtitle: 7th International Conference on Decision Support System Technology, ICDSST 2021, Loughborough, UK, May 26–28, 2021, Proceedings
Editors: Uchitha Jayawickrama, Pavlos Delias, María Teresa Escobar, Jason Papathanasiou
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-030-73976-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-73975-1Published: 10 April 2021
eBook ISBN: 978-3-030-73976-8Published: 17 May 2021
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XIV, 135
Number of Illustrations: 8 b/w illustrations, 45 illustrations in colour
Topics: Computer Applications, Operations Research/Decision Theory, IT in Business, Artificial Intelligence, Machine Learning