LEADER 05132nam 22006495 450 001 9911035055903321 005 20251029120411.0 010 $a9789819515950$b(electronic bk.) 010 $z9789819515943 024 7 $a10.1007/978-981-95-1595-0 035 $a(MiAaPQ)EBC32383124 035 $a(Au-PeEL)EBL32383124 035 $a(CKB)41986539400041 035 $a(DE-He213)978-981-95-1595-0 035 $a(OCoLC)1547674373 035 $a(EXLCZ)9941986539400041 100 $a20251029d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Nineteenth International Conference on Management Science and Engineering Management /$fedited by Jiuping Xu, Sophie Dabo-Niang, Noor Azina Binti Ismail, Ning Gao 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (2762 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v264 311 08$aPrint version: Xu, Jiuping The Nineteenth International Conference on Management Science and Engineering Management Singapore : Springer,c2025 9789819515943 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 $aICMSEM provides a platform for researchers and practitioners of Management Science, Engineering Management and Engineering Science, to share ideas, exchange experiences. ICMSEM encourages papers that have following five elements: (1) strong background of practical management problem found in engineering practice; (2) clear problem description, and abstract it as a class of problem in Management Science and Engineering Management, topics such as decision analysis, manufacturing management, engineering project management, knowledge management, logistics, supply chain management, service innovation and management as well as a variety of multi-class interdisciplinary research; (3) effective mathematical engineering modelling, for example, creating engineering mathematical model and conducting abstract engineering mathematical analysis by using statistical mechanics, operations research, systems science, differential equations, variational inequalities, control theory, econometrics; (4) algorithm framework design, namely designing of algorithm model for solving engineering problems successfully; (5) successful application or case study in Engineering Management to show its scientificity and effectiveness. The proceedings of the Nineteenth 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,$x2367-4520 ;$v264 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 $aDabo-Niang$b Sophie$01764348 701 $aBinti Ismail$b Noor Azina$01764347 701 $aGao$b Ning$01854174 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911035055903321 996 $aThe Nineteenth International Conference on Management Science and Engineering Management$94451261 997 $aUNINA