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利用工业技术创新实现可持续发展:系统思维视角。

Leveraging industrial-technological innovation to achieve sustainable development: A systems thinking perspective.

机构信息

School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China.

Shandong Geological Environmental Monitoring Station, Jinan, China.

出版信息

PLoS One. 2020 Dec 21;15(12):e0242981. doi: 10.1371/journal.pone.0242981. eCollection 2020.

Abstract

Industrial-technological innovation (ITI) has become an important requirement for the sustainable development of China. ITI development requires a comprehensive understanding of the dynamic complexity associated with ITI systems. Previous research into ITI systems is based primarily on static methods that isolate system components, and ignore feedback on adjustments made. Based on systems thinking, this paper develop six archetypes ("Limit to Growth," "Success to the Successful," "Tragedy of the Commons," "Fixes that Fail," "Accidental Adversaries," and "Shifting the Burden") and an ITI system integration model. The model visualizes the ITI system as a whole and identifies bottlenecks that may affect ITI development. This conceptual model provides a more effective method of judgment, which can better explain the operational mechanism of the ITI system and improve the system's operational characteristics. Finally, we evaluate the ITI system and propose that self-organization is a key lever of a systemic intervention framework for ITI.

摘要

产业技术创新(ITI)已成为中国可持续发展的重要要求。ITI 的发展需要全面了解与 ITI 系统相关的动态复杂性。先前对 ITI 系统的研究主要基于静态方法,这些方法孤立了系统组件,忽略了对调整的反馈。基于系统思维,本文开发了六个原型(“增长的极限”、“成功的成功”、“公地悲剧”、“失败的修复”、“意外的对手”和“转移负担”)和一个 ITI 系统集成模型。该模型将 ITI 系统整体可视化,并确定可能影响 ITI 发展的瓶颈。该概念模型提供了一种更有效的判断方法,可以更好地解释 ITI 系统的运行机制,提高系统的运行特性。最后,我们对 ITI 系统进行评估,并提出自组织是 ITI 系统干预框架的关键杠杆。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/7bb71290c6e5/pone.0242981.g001.jpg

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