• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

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.

DOI:10.1371/journal.pone.0242981
PMID:33347480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7751881/
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/20d3/7751881/63468f7d4e69/pone.0242981.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/7bb71290c6e5/pone.0242981.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/e8483c1e0455/pone.0242981.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/1600ade0bd8b/pone.0242981.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/4114028d7bac/pone.0242981.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/4accdb63761e/pone.0242981.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/7febac59a371/pone.0242981.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/905f9f63b3e7/pone.0242981.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/6b1c27c1cc39/pone.0242981.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/bc22877ff8fd/pone.0242981.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/63468f7d4e69/pone.0242981.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/7bb71290c6e5/pone.0242981.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/e8483c1e0455/pone.0242981.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/1600ade0bd8b/pone.0242981.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/4114028d7bac/pone.0242981.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/4accdb63761e/pone.0242981.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/7febac59a371/pone.0242981.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/905f9f63b3e7/pone.0242981.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/6b1c27c1cc39/pone.0242981.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/bc22877ff8fd/pone.0242981.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20d3/7751881/63468f7d4e69/pone.0242981.g010.jpg

相似文献

1
Leveraging industrial-technological innovation to achieve sustainable development: A systems thinking perspective.利用工业技术创新实现可持续发展：系统思维视角。
PLoS One. 2020 Dec 21;15(12):e0242981. doi: 10.1371/journal.pone.0242981. eCollection 2020.
2
The driving effect of technological innovation on green development: dynamic efficiency spatial variation.技术创新对绿色发展的驱动作用：动态效率的空间变化。
Environ Sci Pollut Res Int. 2022 Dec;29(56):84562-84580. doi: 10.1007/s11356-022-21431-3. Epub 2022 Jul 4.
3
Analysis of technological innovation on provincial green development levels of logistics industry in China.中国物流产业省级绿色发展水平的技术创新分析。
Environ Sci Pollut Res Int. 2023 Apr;30(18):53020-53036. doi: 10.1007/s11356-023-26054-w. Epub 2023 Feb 27.
4
Impact of environmental regulation on technological innovation of thermal power industry in China: the mediating role of industrial transfer.环境规制对中国火力发电技术创新的影响：产业转移的中介作用。
Environ Sci Pollut Res Int. 2022 May;29(23):34092-34104. doi: 10.1007/s11356-021-17178-y. Epub 2022 Jan 16.
5
Research on the influence of technological innovation on carbon productivity and countermeasures in China.中国技术创新对碳生产力的影响研究及对策。
Environ Sci Pollut Res Int. 2021 Apr;28(13):16880-16894. doi: 10.1007/s11356-020-11890-x. Epub 2021 Jan 4.
6
Is technological innovation the effective way to achieve the "double dividend" of environmental protection and industrial upgrading?技术创新是否是实现环境保护和产业升级“双重红利”的有效途径？
Environ Sci Pollut Res Int. 2020 May;27(15):18541-18556. doi: 10.1007/s11356-020-08399-8. Epub 2020 Mar 20.
7
Have carbon emissions been reduced due to the upgrading of industrial structure? Analysis of the mediating effect based on technological innovation.由于产业结构升级，碳排放是否减少了？基于技术创新的中介效应分析。
Environ Sci Pollut Res Int. 2022 Aug;29(36):54890-54901. doi: 10.1007/s11356-022-19722-w. Epub 2022 Mar 21.
8
Energy consumption, environmental pollution, and technological innovation efficiency: taking industrial enterprises in China as empirical analysis object.能源消耗、环境污染和技术创新效率：以中国工业企业为实证分析对象。
Environ Sci Pollut Res Int. 2020 Sep;27(27):34147-34157. doi: 10.1007/s11356-020-09537-y. Epub 2020 Jun 16.
9
Technological innovation, human capital and social change for sustainability. Lessons learnt from the industrial technologies theme of the EU's Research Framework Programme.技术创新、人力资本和可持续性的社会变革。从欧盟研究框架计划的工业技术主题中吸取的经验教训。
Sci Total Environ. 2014 May 15;481:668-73. doi: 10.1016/j.scitotenv.2013.09.082. Epub 2013 Oct 19.
10
Impact of technological innovation and industrial-structure upgrades on ecological efficiency in China in terms of spatial spillover and the threshold effect.从空间溢出和门槛效应看技术创新和产业结构升级对中国生态效率的影响。
Integr Environ Assess Manag. 2021 Jul;17(4):852-865. doi: 10.1002/ieam.4381. Epub 2021 Feb 12.

引用本文的文献

1
Towards a 'wide' role for venture capital in OECD countries' industry 4.0.论风险投资在经合组织国家工业4.0中的“广泛”作用。
Heliyon. 2022 Jan 3;8(1):e08700. doi: 10.1016/j.heliyon.2021.e08700. eCollection 2022 Jan.

本文引用的文献

1
Stimulating post-COVID-19 green recovery by investing in ecological restoration.通过投资生态修复促进新冠疫情后的绿色复苏。
Restor Ecol. 2020 Nov;28(6):1343-1347. doi: 10.1111/rec.13296. Epub 2020 Nov 5.
2
Foreign investment and air pollution: Do good governance and technological innovation matter?外商投资与空气污染：良好治理和技术创新是否重要？
Environ Res. 2020 Jun;185:109469. doi: 10.1016/j.envres.2020.109469. Epub 2020 Apr 5.
3
Climatic shocks associate with innovation in science and technology.气候冲击与科技创新相关联。
PLoS One. 2018 Jan 24;13(1):e0190122. doi: 10.1371/journal.pone.0190122. eCollection 2018.
4
Technological Innovation: On the Origins and Development of an Inclusive Concept.
Technol Cult. 2016;57(3):527-556. doi: 10.1353/tech.2016.0070.
5
What Is a Complex Innovation System?什么是复杂创新系统？
PLoS One. 2016 Jun 3;11(6):e0156150. doi: 10.1371/journal.pone.0156150. eCollection 2016.
6
The role of the organization structure in the diffusion of innovations.组织结构在创新传播中的作用。
PLoS One. 2015 May 15;10(5):e0126076. doi: 10.1371/journal.pone.0126076. eCollection 2015.
7
The PDZ domain as a complex adaptive system.作为复杂自适应系统的PDZ结构域。
PLoS One. 2007 Sep 26;2(9):e953. doi: 10.1371/journal.pone.0000953.
8
Nonlinear system theory: another look at dependence.非线性系统理论：对依赖性的另一种审视。
Proc Natl Acad Sci U S A. 2005 Oct 4;102(40):14150-4. doi: 10.1073/pnas.0506715102. Epub 2005 Sep 22.
9
Integrated approach to the assessment of long range correlation in time series data.时间序列数据中长程相关性评估的综合方法。
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 May;61(5A):4991-5001. doi: 10.1103/physreve.61.4991.