03897nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001500187072002300202072001400225245022300239250001800462264007200480300006900552336002600621337002600647338003600673347002400709490008900733505038400822520119001206650002702396650002102423650003102444650003402475650003202509650002902541650003402570700008102604700009402685700008802779700009302867700008302960710003403043773002603077776003603103776003603139830008903175856004603264912001403310912001403324999001703338978-981-97-5098-6DE-He21320251030112838.0cr nn 008mamaa240804s2024    si |    s    |||| 0|eng d  a97898197509869978-981-97-5098-67 a10.1007/978-981-97-5098-62doi 4aQA76.9.Q36 7aUN2bicssc 7aCOM0210002bisacsh 7aUN2thema14aThe Eighteenth International Conference on Management Science and Engineering Managementh[electronic resource] /cedited by Jiuping Xu, Noor Azina Binti Ismail, Sophie Dabo-Niang, Mohamed Hag Ali Hassan, Asaf Hajiyev.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXXIV, 1691 p. 352 illus., 250 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes on Data Engineering and Communications Technologies,x2367-4520 ;v2150 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.  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. 0aQuantitative research. 0aBusiness.958353 0aManagement science.957941 0aIndustrial Management.95819714aData Analysis and Big Data.24aBusiness and Management.24aIndustrial Management.9581971 aXu, Jiuping.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9819221 aBinti Ismail, Noor Azina.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9819231 aDabo-Niang, Sophie.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9819241 aAli Hassan, Mohamed Hag.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9819251 aHajiyev, Asaf.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9819262 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981975097908iPrinted edition:z9789819750993 0aLecture Notes on Data Engineering and Communications Technologies,x2367-4520 ;v21540uhttps://doi.org/10.1007/978-981-97-5098-6  aZDB-2-ENG  aZDB-2-SXE  c62245d62245