LEADER 03736nam 22004815 450 001 9910350241303321 005 20240724132723.0 010 $a9789811301766 010 $a981130176X 024 7 $a10.1007/978-981-13-0176-6 035 $a(CKB)4100000004974942 035 $a(MiAaPQ)EBC5438661 035 $a(DE-He213)978-981-13-0176-6 035 $a(EXLCZ)994100000004974942 100 $a20180627d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChina's State Enterprises $eChanging Role in a Rapidly Transforming Economy /$fby Ran Li, Kee Cheok Cheong 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Palgrave Macmillan,$d2019. 215 $a1 online resource (232 pages) 311 08$a9789811301759 311 08$a9811301751 327 $a1. Introduction -- 2. China's State Enterprises - Theories and Evidence -- 3. State Enterprises, Economic Growth and Distribution -- 4. The State's Role in a Strategic Industry - China's Banking Sector -- 5. China's "Commercial" State Enterprises - a Case Study of ZTE Corporation -- 6. "Going Out", Going Global and the Belt and Road -- 7. Conclusion. 330 $aFinally, an insightful analysis of China's different types of state-owned enterprises. Grounded in deep and thoughtful empirical research, China's State Enterprises also contributes immensely to debate about the value of state intervention in an economy to drive growth. To understand how China is emerging as the world's largest economy, guided by the strong hand of a highly interventionist state through enterprises it owns and controls, this is a must-read. -Edmund Terence Gomez, Professor of Political Economy, University of Malaya This study of China's state owned and controlled enterprises challenges many of the easy assumptions about such enterprises made by high income country economists and business people. Through careful research and rigorous analysis the two authors argue that these enterprises have been transformed into effective vehicles for carrying out the government's overall development strategy. The study is an important contribution to our understanding of the nature of China's "socialist market economy". -Dwight H. Perkins, Professor of Political Economy, Harvard University This book focuses on the nature and significance of China's state enterprises which have undergone substantial changes since China's economic liberalization in 1978. It argues that much of the criticism is based on mistaken premises, where even the term 'state-owned enterprises' is a misnomer given that the emphasis is much less on ownership than on control. Using numerous case studies, this book highlights the extent to which these enterprises have evolved in response to reforms, and provides an in-depth analysis of their role in China's outward investment strategy in the "Belt and Road" initiative. This role speaks to their growing influence as China expands her global footprint. 606 $aInternational economic relations 606 $aAsia$xEconomic conditions 606 $aInternational Political Economy' 606 $aAsian Economics 615 0$aInternational economic relations. 615 0$aAsia$xEconomic conditions. 615 14$aInternational Political Economy'. 615 24$aAsian Economics. 676 $a338.620951 700 $aLi$b Ran$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058028 702 $aCheong$b Kee Cheok$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910350241303321 996 $aChina?s State Enterprises$92496616 997 $aUNINA LEADER 05709nam 22006375 450 001 9910555236103321 005 20251225212229.0 010 $a3-030-98581-4 024 7 $a10.1007/978-3-030-98581-3 035 $a(CKB)5860000000038033 035 $a(MiAaPQ)EBC6938742 035 $a(Au-PeEL)EBL6938742 035 $a(OCoLC)1308508232 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81321 035 $a(DE-He213)978-3-030-98581-3 035 $a(PPN)261519433 035 $a(oapen)doab81321 035 $a(EXLCZ)995860000000038033 100 $a20220323d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProcess Mining Workshops $eICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 ? November 4, 2021, Revised Selected Papers /$fedited by Jorge Munoz-Gama, Xixi Lu 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (xiv, 410 pages) $cillustrations (chiefly color) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v433 300 $aIncludes author index. 311 08$a3-030-98580-6 327 $aRethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- Probability Estimation of Uncertain Process Trace Realizations -- Visualizing Trace Variants From Partially Ordered Event Data -- Analyzing Multi-level BOM-structured Event Data -- Linac: A Smart Environment Simulator of Human Activities -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- xPM: A Framework for Process Mining with Exogenous Data -- A Bridging Model for Process Mining and IoT -- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction -- Can deep neural networks learn process modelstructure? An assessment framework and analysis -- Remaining Time Prediction for Processes with Inter-Case Dynamics -- Event Log Sampling for Predictive Monitoring -- Active Anomaly Detection for Key Item Selection in Process Auditing -- Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach -- Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring -- Online Prediction of Aggregated Retailer Consumer Behaviour -- PErrCas: Process Error Cascade Mining in Trace Streams -- Continuous performance evaluation for business process outcome monitoring -- An Event Data Extraction Approach from SAP ERP for Process Mining -- Towards a Natural Language Conversational Interface for Process Mining -- On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization -- Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study -- Patient Discharge Classification based on the Hospital Treatment Process -- Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes -- Interactive Process Mining Applied in a Cardiology Outpatient Department -- Discovering care pathways for multi-morbid patients using event graphs -- Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis -- Quantifying the Re-identification Risk in Published Process Models -- Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. 330 $aThis open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31?November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented DataScience for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included. 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v433 606 $aData mining 606 $aInformation technology$xManagement 606 $aData Mining and Knowledge Discovery 606 $aBusiness Process Management 606 $aComputer Application in Administrative Data Processing 615 0$aData mining. 615 0$aInformation technology$xManagement. 615 14$aData Mining and Knowledge Discovery. 615 24$aBusiness Process Management. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.312 700 $aMunoz-Gama$b Jorge$4edt$0976581 701 $aMunoz-Gama$b Jorge$0976581 701 $aLu$b Xixi$01224408 712 12$aInternational Conference on Process Mining. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555236103321 996 $aProcess Mining Workshops$92841988 997 $aUNINA