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基于复杂适应系统理论的智慧物流创新系统及其创新行为模式

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基于复杂适应系统(CAS)理论,通过刺激—反应模型、回声模型和受限生成涌现模型,建立涵盖从微观至宏观的完整系统内主体间联系的分析框架,通过对创新主体间刺激反应过程、资源流动、策略选择、非线性反馈作用的定量化描述,专注研究智慧物流创新系统及其创新行为模式的受限生成过程.通过运用CAS理论中三模型的研究体系分析得到:智慧物流创新系统是处于动态演化中的复杂适应性系统;创新行为模式是包括智慧物流企业和政府在内的各主动适应性创新主体共同应对内外环境的"刺激",并作出有效"反应"的累积性涌现的结果,成功的创新行为模式将被分享与传播;各创新主体的"主动适应性"主导了智慧物流创新发展的"隐秩序"及其创新行为模式的不断革新.
Investigating the Intelligent Logistics Innovation System and Its Innovation Behavior Pattern within Complex Adaptive System(CAS)Theory
Based on the complex adaptive system(CAS)theory,we establish an analytical framework covering the linkage between subjects in the comprehensive micro to macro system within the stimulus-response model,the echo model and the emergent restricted generation model,and focus on the restricted generation process of the intelligent logistics innovation system and its innovation behavior patterns through the quantitative descrip-tion of the stimulus-response process,resource flow,strategy selection and nonlinear feedback among innova-tion subjects.By applying the three research models in the CAS theory,we get the following results:The inno-vation system of intelligent logistics is a complex adaptive system in dynamic evolution;The innovation behav-ior pattern is the result of the cumulative emergence of all active and adaptive innovation subjects,including in-telligent logistics enterprises and the government,both responding to the"stimulus"of internal and external environmental factors and making effective"responses",and the successful innovation behavior pattern will be shared and spread;the"active adaptation"of each innovation subject dominates the"hidden order"of the inno-vation development of intelligent logistics and the continuous innovation of its innovation behavior pattern.

Intelligent logisticsStimulus-response modelEcho modelEmerging modelInnovative behavior pattern

徐孝民、刘孟凯、黄胜忠

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中国矿业大学(北京)管理学院,北京 100083

智慧物流 刺激—反应模型 回声模型 涌现模型 创新行为模式

2024

大连理工大学学报(社会科学版)
大连理工大学

大连理工大学学报(社会科学版)

CSSCICHSSCD北大核心
影响因子:0.8
ISSN:1008-407X
年,卷(期):2024.45(4)