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082 0 4 _a001.422
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245 1 4 _aThe Eighteenth International Conference on Management Science and Engineering Management
_h[electronic resource] /
_cedited by Jiuping Xu, Noor Azina Binti Ismail, Sophie Dabo-Niang, Mohamed Hag Ali Hassan, Asaf Hajiyev.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXXIV, 1691 p. 352 illus., 250 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v215
505 0 _aAn 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.
520 _aThe 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.
541 _fUABC ;
_cPerpetuidad
650 0 _aQuantitative research.
650 0 _aBusiness.
650 0 _aManagement science.
650 0 _aIndustrial Management.
650 1 4 _aData Analysis and Big Data.
650 2 4 _aBusiness and Management.
650 2 4 _aIndustrial Management.
700 1 _aXu, Jiuping.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBinti Ismail, Noor Azina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDabo-Niang, Sophie.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAli Hassan, Mohamed Hag.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHajiyev, Asaf.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819750979
776 0 8 _iPrinted edition:
_z9789819750993
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v215
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-5098-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
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