03281nam a22005535i 4500 978-3-031-41371-1 DE-He213 20251030111714.0 cr nn 008mamaa 240213s2024 sz | s |||| 0|eng d 9783031413711 978-3-031-41371-1 10.1007/978-3-031-41371-1 doi HD30.2 KJQ bicssc COM005030 bisacsh KJQ thema Computational and Strategic Business Modelling [electronic resource] : IC-BIM 2021, Athens, Greece / edited by Damianos P. Sakas, Dimitrios K. Nasiopoulos, Yulia Taratuhina. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XXII, 663 p. 149 illus., 138 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Proceedings in Business and Economics, 2198-7254 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. Information technology Management. 57223 Business Data processing. 59544 Quantitative research. Business Process Management. 66185 Business Informatics. 65949 Data Analysis and Big Data. Sakas, Damianos P. editor. (orcid)0000-0002-2253-8966 https://orcid.org/0000-0002-2253-8966 edt http://id.loc.gov/vocabulary/relators/edt 72773 Nasiopoulos, Dimitrios K. editor. (orcid)0000-0001-7386-1029 https://orcid.org/0000-0001-7386-1029 edt http://id.loc.gov/vocabulary/relators/edt 72774 Taratuhina, Yulia. editor. (orcid)0000-0002-6191-3984 https://orcid.org/0000-0002-6191-3984 edt http://id.loc.gov/vocabulary/relators/edt 72775 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031413704 Printed edition: 9783031413728 Printed edition: 9783031413735 Springer Proceedings in Business and Economics, 2198-7254 69455 https://doi.org/10.1007/978-3-031-41371-1 ZDB-2-BUM ZDB-2-SXBM 58225 58225