04110nam a22006015i 4500 978-981-97-5098-6 DE-He213 20251030112838.0 cr nn 008mamaa 240804s2024 si | s |||| 0|eng d 9789819750986 978-981-97-5098-6 10.1007/978-981-97-5098-6 doi QA76.9.Q36 UN bicssc COM021000 bisacsh UN thema The Eighteenth International Conference on Management Science and Engineering Management [electronic resource] / edited by Jiuping Xu, Noor Azina Binti Ismail, Sophie Dabo-Niang, Mohamed Hag Ali Hassan, Asaf Hajiyev. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XXIV, 1691 p. 352 illus., 250 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 ; 215 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. 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. Quantitative research. Business. 58353 Management science. 57941 Industrial Management. 58197 Data Analysis and Big Data. Business and Management. Industrial Management. 58197 Xu, Jiuping. editor. edt http://id.loc.gov/vocabulary/relators/edt 81922 Binti Ismail, Noor Azina. editor. edt http://id.loc.gov/vocabulary/relators/edt 81923 Dabo-Niang, Sophie. editor. edt http://id.loc.gov/vocabulary/relators/edt 81924 Ali Hassan, Mohamed Hag. editor. edt http://id.loc.gov/vocabulary/relators/edt 81925 Hajiyev, Asaf. editor. edt http://id.loc.gov/vocabulary/relators/edt 81926 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819750979 Printed edition: 9789819750993 Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 215 https://doi.org/10.1007/978-981-97-5098-6 ZDB-2-ENG ZDB-2-SXE 62245 62245