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024 7 $a10.1007/978-981-97-5098-6
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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 14$aThe Eighteenth International Conference on Management Science and Engineering Management /$fedited by Jiuping Xu, Noor Azina Binti Ismail, Sophie Dabo-Niang, Mohamed Hag Ali Hassan, Asaf Hajiyev
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (1703 pages)
225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v215
311 08$aPrint version: Xu, Jiuping The Eighteenth International Conference on Management Science and Engineering Management Singapore : Springer,c2024 9789819750979 
327   $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.
330   $aThe proceedings of the Eighteenth ICMSEM cover a wide range of areas including hot management issues in Engineering Science. It provides newest and frontier ideas and research achievements in the area of Management Science and Engineering Management to researchers and practitioners. The work contains both theoretical and practical studies of Management Science in the Computing Methodology, showing the advanced management concepts, computing technologies for decision making problems with large, uncertain and unstructured data. Research in this proceeding will show the new changes and challenges in the decision-making procedure as we have entered the big data era. Theoretical studies of this proceedings will present the new technologies of analysis, capture, search, sharing, storage, transfer, visualization, and privacy violations, as well as advances in integration of optimization, statistics and data mining. This proceeding also contains practical studies in the real decision-making scenarios when facing large, uncertain or unstructured data. The readers who are interested in related fields of can benefit from the proceedings for the new ideas and research direction.
410  0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v215
606   $aQuantitative research
606   $aBusiness
606   $aManagement science
606   $aIndustrial Management
606   $aData Analysis and Big Data
606   $aBusiness and Management
606   $aIndustrial Management
615  0$aQuantitative research.
615  0$aBusiness.
615  0$aManagement science.
615  0$aIndustrial Management.
615 14$aData Analysis and Big Data.
615 24$aBusiness and Management.
615 24$aIndustrial Management.
676   $a001.422
676   $a005.7
700   $aXu$b Jiuping$0865879
701   $aBinti Ismail$b Noor Azina$01764347
701   $aDabo-Niang$b Sophie$01764348
701   $aAli Hassan$b Mohamed Hag$01764349
701   $aHajiyev$b Asaf$01764350
801  0$bMiAaPQ
801  1$bMiAaPQ
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912   $a9910878985603321
996   $aThe Eighteenth International Conference on Management Science and Engineering Management$94205125
997   $aUNINA