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作 者:慕静[1] 刘孟凯 郝丽君 MU Jing;LIU Meng-kai;HAO Li-jun(School of Economics and Management,Tianjin University of Science and Technology,Tianjin 300457,China;School of Management,China University of Mining and Technology-Beijing,Beijing 100083,China)
机构地区:[1]天津科技大学经济与管理学院,天津300457 [2]中国矿业大学(北京)管理学院,北京100083
出 处:《系统科学学报》2022年第4期96-101,共6页Chinese Journal of Systems Science
基 金:国家教育部首批新文科研究与改革实践项目“面向行业需求的物流类专业政产学研协同育人机制创新与实践”(2021090013)。
摘 要:基于复杂适应系统(CAS)理论,将智慧物流企业发展创新系统看作一个开放的、动态演化的复杂适应性系统。从个体微观视角出发,构建了个体行为的刺激-反应模型,指出影响智慧物流企业发展创新因素和创新规则,揭示了智慧物流企业个体的创新行为;从整体宏观视角出发,建立了系统整体行为的回声模型,揭示了智慧物流企业发展创新系统内多主体之间的交互合作机制,并创新性地提出了四种企业个体创新行为模式和四种系统整体创新行为模式。希望通过研究为智慧物流企业发展创新行为模式选择以及先进智慧物流体系构建提供一定的理论和实践指导。Based on complex adaptive system(CAS) theory, the development and innovation system of intelligent logistics enterprises is regarded as an open and dynamically evolving complex adaptive system. From the perspective of individual micro, the stimulus-response model of individual behavior is constructed, the factors and rules affecting the development and innovation of intelligent logistics enterprises are pointed out, and the individual innovation behavior of intelligent logistics enterprise is revealed. From the overall macro perspective, the echo model of the overall behavior of the system is constructed, the interaction and cooperation mechanism among the multi-agent in the development and innovation system of intelligent logistics enterprises is revealed, and four individual innovation behavior patterns and four systematic overall innovation behavior patterns are proposed innovatively. It is hoped that the research can provide some theoretical and practical guidance for the development and innovation behavior mode selection of intelligent logistics enterprises and the construction of advanced intelligent logistics system.
关 键 词:智慧物流 CAS理论 刺激-反应模型 回声模型 创新行为
分 类 号:N949[自然科学总论—系统科学]
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