04401nam a22005895i 4500 978-3-031-62213-7 DE-He213 20251030112841.0 cr nn 008mamaa 240807s2024 sz | s |||| 0|eng d 9783031622137 978-3-031-62213-7 10.1007/978-3-031-62213-7 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Data-Centric Business and Applications [electronic resource] : Advancements in Information and Knowledge Management, Volume 1 / edited by Peter Štarchoň, Solomiia Fedushko, Katarína Gubíniová. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 417 p. 78 illus., 63 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 213 Peculiarities of professional training of informatics and mathematics teachers at universities in Poland and Ukraine -- The Unique Selling Propositions of Small and Medium Enterprises and their Influence on the level of Covid 19 impact on these SMEs -- Improving the recruitment process in multinational organizations using Robotic Process Automation and Artificial Intelligence -- Historiographical Myth or Proven Fact? The Discourse Around the So-Called Marian Reforms in The Works of Contemporary Researchers -- “Deprivation of control” and an evolution of the institution of expatriates: A case study of changing HQ’s controls over subsidiaries in a Norwegian MNC internationalization process -- Management in Family Business in the Slovak Republic -- Technologies For Electronic Document Management In The Enterprise -- Management of Small and Medium-sized Enterprises during the COVID-19 Pandemic in the Slovak Republic. This book explores the profound impact of data on company operations, decision-making, and application development. The book delves into sophisticated information and knowledge management principles, including data governance, analytics, knowledge discovery, and artificial intelligence. The subject encompasses data-centric business models, emerging technology, and ethical considerations. Each chapter is authored by an expert in the area who offers important insights into the influence of data on the advancement of business and application development. The material herein is appropriate for a diverse audience, encompassing academics, practitioners, business professionals, and researchers. The editors sincerely appreciate the writers for their significant contributions, which have been crucial in developing an essential resource for studying and advancing data-centric businesses and applications. Engineering Data processing. Computational intelligence. 64052 Business information services. Artificial intelligence. 58441 Data Engineering. 66059 Computational Intelligence. 64052 Business Information Systems. 66184 Artificial Intelligence. 58441 Štarchoň, Peter. editor. edt http://id.loc.gov/vocabulary/relators/edt 79210 Fedushko, Solomiia. editor. (orcid)0000-0001-7548-5856 https://orcid.org/0000-0001-7548-5856 edt http://id.loc.gov/vocabulary/relators/edt 79211 Gubíniová, Katarína. editor. edt http://id.loc.gov/vocabulary/relators/edt 79212 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031622120 Printed edition: 9783031622144 Printed edition: 9783031622151 Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 213 https://doi.org/10.1007/978-3-031-62213-7 ZDB-2-INR ZDB-2-SXIT 62292 62292