Operational Research in the Era of Digital Transformation and Business Analytics

Nikolaos F. Matsatsinis

ISBN 10: 3031242963 / ISBN 13: 9783031242960

Edité par Springer Nature Switzerland Apr 2024, 2024

A propos de cet article

Neuware -This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.

N° de réf. du vendeur 9783031242960

Détails bibliographiques

• Titre: Operational Research in the Era of Digital Transformation and Business Analytics
• Éditeur: Springer Nature Switzerland Apr 2024
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 3031242963
• ISBN à 13 chiffres: 9783031242960
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics. 

À propos de l?auteur

Nikolaos Matsatsinis is a Professor of Information and Decision Systems at the School of Production Engineering & Management, Technical University of Crete, Greece. He is the Editor-in-Chief of the journals Operational Research: An International Journal (Springer) and International Journal of Decision Support Systems. His research interests include intelligent decision support systems, group decision support systems, multi-agent systems, operations research, multicriteria decision analysis, and data analysis.

Fotis C. Kitsios is a Professor of business strategy and innovation management at the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece. His research interests focus on business strategy, digital entrepreneurship, service innovation management, strategic information systems, and digital transformation.

Michael Madas is an Associate Professor on Supply Chain Management and Transport at the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece. His research interests focus on logistics and supply chain management, airport demand management and capacity analysis, terminal performance assessment, transport policy and pricing, as well as ICT applications and impacts on logistics and transport systems.

Maria Kamariotou is a researcher associate at the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece. Her scientific research interests mainly focus on Strategic Information Systems and Innovation Management.