A multi-perspective view on global economic and ecological system

Q3 Business, Management and Accounting International Journal of Foresight and Innovation Policy Pub Date : 2017-08-16 DOI:10.1504/IJFIP.2017.10006869
Martina Pfarrhofer
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Abstract

Interdisciplinary thinking is essential in order to find solutions to many challenges of our time and avoid a lack of foresight. This article points out the importance of thinking in multiple perspectives and shows one example of how different fields and theories can be combined. This leads to conclusions, which cannot be neglected for understanding our world and should be considered for further developments. The example brings together the global economic system and the ecological system by using basic principles of Niklas Luhmann's systems theory. Although being considered as differentiated systems they influence each other. Contrasting developments and differing fundamental characteristics lead to discrepancies, which endanger many organisms and can only be resolved if they are approached on a broad and interdisciplinary basis.
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全球经济与生态系统的多重视角
为了找到解决我们这个时代许多挑战的办法并避免缺乏远见,跨学科思维是必不可少的。本文指出了从多个角度思考的重要性,并举例说明了如何将不同的领域和理论结合起来。这导致了一些结论,这些结论对于理解我们的世界来说是不可忽视的,对于进一步的发展应该加以考虑。该例子利用Niklas Luhmann系统理论的基本原理,将全球经济系统和生态系统结合在一起。尽管被认为是有区别的系统,但它们相互影响。不同的发展和不同的基本特征会导致差异,这会危及许多生物体,只有在广泛和跨学科的基础上加以解决。
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来源期刊
International Journal of Foresight and Innovation Policy
International Journal of Foresight and Innovation Policy Business, Management and Accounting-Management of Technology and Innovation
CiteScore
2.10
自引率
0.00%
发文量
2
期刊介绍: The IJFIP has been established as a peer reviewed, international authoritative reference in the field. It publishes high calibre academic articles dealing with knowledge creation, diffusion and utilisation in innovation policy. The journal thus covers all types of Strategic Intelligence (SI). SI is defined as the set of actions that search, process, diffuse and protect information in order to make it available to the right person at the right time in order to make the right decision. Examples of SI in the domain of innovation include Foresight, Forecasting, Delphi studies, Technology Assessment, Benchmarking, R&D evaluation and Technology Roadmapping.
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