Highlights

Please wait a minute...


For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails

Select

Research on Human-machine Integration Complex Social System WANG Hong-wei, LI Jue, LIU Jian-guo, FAN Ying, MA Liang, HUO Hong, LIU Zuo-yi, DING Lie-yun Chinese Journal of Management Science    2023, 31 (7): 1-21.   DOI: 10.16381/j.cnki.issn1003-207x.2023.07.001 Abstract （1643）      PDF （1642KB）（1529）       Knowledge map    The deepening of the new round of scientific-technological revolution is profoundly affecting and transforming the way of social living and production. The social system is evolving into a complex system coupled with human social space, information systems, and the physical environment. In the social system, actors, social relations, social structure, and social functions are profoundly changing. Human beings are entering a new social form characterized by the integration of human and machine. Such changes have brought significant challenges to the understanding, research, and governance of social systems. The definition of the human-machine integration social system is expounded from the perspective of the social system theory. It analyzes the unique connotation of human-machine integration complex social system from the aspects of social constituent subjects and structures, communication and media, and social differentiation and evolution. On this basis, the basic problems that need to be solved urgently in the research of human-machine integration complex social systems are proposed: (1) Human-machine collaboration in human-machine integration complex social systems; (2) Social networks in the environment of human-machine integration; (3) Emergence mechanism and evolution law of human-machine integration complex social system. Finally, aiming at the difficulties faced by previous social science research methods in solving the integrity problem of complex social systems, a research paradigm of complex social systems based on the system theory is proposed. Reference | Related Articles | Metrics

Select

Artificial Intelligence and Management Transformation YANG Shan-lin, LI Xiao-jian, ZHANG Qiang, JIAO Jian-ling, YANG Chang-hui Chinese Journal of Management Science    2023, 31 (6): 1-11.   DOI: 10.16381/j.cnki.issn1003-207x.2023.06.001 Abstract （1389）      PDF （2837KB）（1380）       Knowledge map    Since the advent of deep learning, artificial intelligence has made tremendous progress, gradually moving from pure academic research to large-scale deployment. In particular, a series of application-level AI content generation algorithms such as text generation, image generation, and 3D model generation emerged in 2022, indicating that AI has first acquired the ability to produce digital content and is gradually breaking through many barriers, such as logical reasoning and common sense cognition, moving towards general AI. Based on a review of the development history and recent trends in AI, it focuses on exploring the impact of AI technology on the research paradigms of the natural and social sciences in this paper, analyzing the development laws of AI technology itself and its integration with domain-specific sciences. Finally, the transformative impact of AI on the management is analyzed. Reference | Related Articles | Metrics

Select

Characteristics and Development Pathway of the Discipline of Management Science and Engineering within the Funding System of National Natural Science Foundation of China HUO Hong Chinese Journal of Management Science    2023, 31 (1): 1-8.   DOI: 10.16381/j.cnki.issn1003-207x.2023.01.001 Abstract （1021）      PDF （3843KB）（1142）       Knowledge map    Reference | Related Articles | Metrics

Select

Supply Chain Resilience: Adapting to Complexity—Based on the Perspective of Complex System Thinking SHENG Zhao-han, WANG Hai-yan, HU Zhi-hua Chinese Journal of Management Science    2022, 30 (11): 1-7.   DOI: 10.16381/j.cnki.issn1003-207x.2022.11.001 Abstract （2138）      PDF （1038KB）（2396）       Knowledge map    Building a resilient supply chain has risen from a concern at the enterprise level to a strategy at the industry, regional and national levels, and has become an important means to cope with the complex situation of current social and economic development. It is also an important means to improve the national security and competitiveness. On the basis of expounding that supply chain is a complex adaptive system of social multi center sharing and co-governance, it is pointed out that supply chain resilience is a sign of the ability of the behavior and function of the supply chain system to adapt to the complex changes of the environment as a whole. The complex integrity attribute of supply chain resilience requires us to form new research paradigms and methodologies through the paradigm shift of complex system thinking. The academic value of supply chain resilience theory is not mainly aimed at conventional problems, but depends on whether it is effective and efficient in dealing with supply chain instability, risk, emergency, functional degradation and other resilience crises. Supply chain resilience has a specific real world. To explain, analyze and reveal the complex phenomena and objective laws of supply chain resilience, it is pointed to pay full attention to the uniqueness and discourse context of the supply chain. No two realistic supply chain resilience mechanisms are identical. Supply chain resilience is a big and difficult problem in the field of supply chain research today, which has important academic frontiers, reality and challenges. It should be oriented and rooted in the rich practical soil of supply chain management in China, and consolidate the research foundation from the basic academic system, theoretical system and discourse system, rather than being too tied by the “disruption” and “no disruption” in the initial definition of supply chain resilience. Reference | Related Articles | Metrics

Select

Hua Luogeng System Engineering of Management Science and Industrial Big Data Analysis LIU Xiang-guan, GAO Chuan-hou, LUO Shi-hua, WANG Yi-kang, WU Wu-lin Chinese Journal of Management Science    2022, 30 (11): 8-19.   DOI: 10.16381/j.cnki.issn1003-207x.2021.1655 Abstract （482）      PDF （2159KB）（546）       Knowledge map    The achievements of the national key research project in the comprehensive utilization of vanadium and titanium resources in Panzhihua are briefly introduced under the personal guidance of Professor Hua Luogeng, a consultant of Pangang. Taking the typical big data analysis case in the “first prize of national scientific and technological progress” as an example, the guiding role of the management science theory created by Professor Hua Luogeng in big data analysis, intelligent optimization algorithm and process intelligent manufacturing of iron and steel industry is discussed. Through the introduction of specific cases and algorithms, it can help us more deeply understand the rich connotation of Hua Luogeng’s 36 word policy of management science. Especially in today’s digital economy era, how to apply Hua Luogeng’s scientific management theory to guide the research and development of intelligent manufacturing technology of industrial production line has universal guiding significance. Reference | Related Articles | Metrics