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China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”

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  1. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
  2. Margherita, Emanuele Gabriel & Braccini, Alessio Maria, 2021. "Managing industry 4.0 automation for fair ethical business development: A single case study," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  3. Wan, Yinglin & Gao, Yuchen & Hu, Yimei, 2022. "Blockchain application and collaborative innovation in the manufacturing industry: Based on the perspective of social trust," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  4. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  5. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
  6. Na Yu & Chunfeng Zhao, 2021. "Chain Innovation Mechanism of the Manufacturing Industry in the Yangtze River Delta of China Based on Evolutionary Game," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
  7. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
  8. Hu, Xi & Pant, Raghav & Hall, Jim W. & Surminski, Swenja & Huang, Jiashun, 2019. "Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector," LSE Research Online Documents on Economics 100534, London School of Economics and Political Science, LSE Library.
  9. Xuemin Liu & Guozhong Huang & Shengnan Ou & Xingyu Xiao & Xuehong Gao & Zhangzhou Meng & Youqiang Pan & Ibrahim M. Hezam, 2023. "Biobjective Optimization Model Considering Risk and Profit for the Multienterprise Layout Design in Village-Level Industrial Parks in China," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
  10. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  11. Jinxuan Song & Xu Yan, 2023. "Impact of Government Subsidies, Competition, and Blockchain on Green Supply Chain Decisions," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
  12. Ferreira, João J. & Fernandes, Cristina I. & Guo, Ying & Rammal, Hussain G., 2022. "Knowledge worker mobility and knowledge management in MNEs: A bibliometric analysis and research agenda," Journal of Business Research, Elsevier, vol. 142(C), pages 464-475.
  13. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  14. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
  15. Wang, Rui & Guo, Li-ming & Cao, Chao & Chen, Yan-sheng, 2023. "The key success factors of the AI industry entrepreneurial process in China Great Bay Area: A systematic approach study," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  16. Băzăvan, Adrian, 2019. "Chinese government's shifting role in the national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  17. Tamvada, Jagannadha Pawan & Narula, Sanjiv & Audretsch, David & Puppala, Harish & Kumar, Anil, 2022. "Adopting new technology is a distant dream? The risks of implementing Industry 4.0 in emerging economy SMEs," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
  18. Xun Liu & Xiaobo Li, 2022. "Exploring the Formation Mechanism of Unsafe Construction Behavior and Testing Efficient Occupational Health and Safety (OHS) Programs," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
  19. Jonathan Gumz & Diego Castro Fettermann & Enzo Morosini Frazzon & Mirko Kück, 2022. "Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions," Sustainability, MDPI, vol. 14(20), pages 1-34, October.
  20. Chen, Zan & Jin, Jun & Li, Meng, 2022. "Does media coverage influence firm green innovation? The moderating role of regional environment," Technology in Society, Elsevier, vol. 70(C).
  21. Lei Song & Qi Xin & Huilin Chen & Lutao Liao & Zheyi Chen, 2023. "Optimal Decision-Making of Retailer-Led Dual-Channel Green Supply Chain with Fairness Concerns under Government Subsidies," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
  22. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  23. Lei Shen & Cong Sun & Muhammad Ali, 2021. "Role of Servitization, Digitalization, and Innovation Performance in Manufacturing Enterprises," Sustainability, MDPI, vol. 13(17), pages 1-17, September.
  24. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  25. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  26. Chen, Xiaojiao & Huang, Liansheng & Liu, Junbo & Song, Dongran & Yang, Sheng, 2022. "Peak shaving benefit assessment considering the joint operation of nuclear and battery energy storage power stations: Hainan case study," Energy, Elsevier, vol. 239(PA).
  27. Alkaraan, Fadi & Albitar, Khaldoon & Hussainey, Khaled & Venkatesh, VG, 2022. "Corporate transformation toward Industry 4.0 and financial performance: The influence of environmental, social, and governance (ESG)," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  28. Wei Sun & Yufei Hou & Lanjiang Guo, 2018. "Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries," Sustainability, MDPI, vol. 11(1), pages 1-26, December.
  29. Tortorella, Guilherme Luz & Fogliatto, Flávio Sanson & Espôsto, Kleber Francisco & Vergara, Alejandro Mac Cawley & Vassolo, Roberto & Mendoza, Diego Tlapa & Narayanamurthy, Gopalakrishnan, 2020. "Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
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