The Eighteenth International Conference on Management Science and Engineering Management / edited by Jiuping Xu, Noor Azina Binti Ismail, Sophie Dabo-Niang, Mohamed Hag Ali Hassan, Asaf Hajiyev

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes on Data Engineering and Communications Technologies ; 215Verlag: Singapore : Springer Nature Singapore, 2024Verlag: Singapore : Imprint: Springer, 2024Auflage: 1st ed. 2024Beschreibung: 1 Online-Ressource(XXIV, 1691 p. 352 illus., 250 illus. in color.)ISBN:

9789819750986

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Andere physische Formen: 9789819750979 | 9789819750993 | Erscheint auch als: 9789819750979 Druck-Ausgabe | Erscheint auch als: 9789819750993 Druck-AusgabeDOI: DOI: 10.1007/978-981-97-5098-6Online-Ressourcen:

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Zusammenfassung: An Evolutionary Game Theory Model for Chinese Laggard Firms’ Technology Catching Up -- Accelerating the Digitalization of Automobile Retailing in China: A Multi-Level Perspective on Impacts of COVID-19 on The Sector -- Research on the Low-carbon Transformation of Building Supply Chain Driven by Digital Technology -- Non-state Shareholders’ Governance and Tunneling in SOEs.Zusammenfassung: The proceedings of the Eighteenth ICMSEM cover a wide range of areas including hot management issues in Engineering Science. It provides newest and frontier ideas and research achievements in the area of Management Science and Engineering Management to researchers and practitioners. The work contains both theoretical and practical studies of Management Science in the Computing Methodology, showing the advanced management concepts, computing technologies for decision making problems with large, uncertain and unstructured data. Research in this proceeding will show the new changes and challenges in the decision-making procedure as we have entered the big data era. Theoretical studies of this proceedings will present the new technologies of analysis, capture, search, sharing, storage, transfer, visualization, and privacy violations, as well as advances in integration of optimization, statistics and data mining. This proceeding also contains practical studies in the real decision-making scenarios when facing large, uncertain or unstructured data. The readers who are interested in related fields of can benefit from the proceedings for the new ideas and research direction.PPN: PPN: 189790410XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-ENG | ZDB-2-SXE

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