Computational and Strategic Business Modelling

IC-BIM 2021, Athens, Greece
1. Auflage 2024
ISBN: 978-3-031-41370-4
Verlag: Springer International Publishing

Buch, Englisch, 663 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1185 g

Reihe: Springer Proceedings in Business and Economics

This book presents advanced methods in business intelligence models that are applicable in research areas of business and enterprise research such as business informatics, e-business, customer behavior and agricultural business. Featuring selected contributions presented at the 2021 International Conference on Business Intelligence and Modelling (IC-BIM) held in Athens, Greece, this book analyses a series of issues and tools for business intelligence in everyday business operations.

The International Conference on Business Intelligence and Modelling (IC-BIM) started in 2011 and is an international interdisciplinary conference focusing on the theoretical approach of the contemporary issues evolved in business intelligence and modelling and the integration of theory and practice.

Zielgruppe

Research

Autoren/Hrsg.

Sakas, Damianos P.

Taratuhina, Yulia

Nasiopoulos, Dimitrios K.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Über Autor(innen)

Damianos P. Sakas is Associate Professor of the Department of Agribusiness and Supply Chain Management at the Agricultural University of Athens, Greece. His research interests are strategic negotiation, strategic marketing, business communication, business modelling and simulation, and computational methods.

Dimitrios K. Nasiopoulos is an Assistant Professor in the Department of Agribusiness and Supply Chain Management at the Agricultural University of Athens, Greece. His research interests include decision-making systems, business informatics, business modelling and simulation, dynamic simulation modelling, computational Methods, mathematical modelling and complex networks.

Yulia Taratuhina is an Associate Professor at National Research University Higher School of Economics, Moscow, Russian and a Senior Researcher at the Institute of Control Science of Russian Academy of Science, Moscow, Russia. Her research interest includes cross-cultural communication,cross-cultural didactics and smart educational systems. She has written more than 80 research papers and books.