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Systems
Other literature type . 2023
License: CC BY
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Systems
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Systems
Article . 2023
Data sources: DOAJ
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Article . 2023
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Evolution Analysis of Green Innovation in Small and Medium-Sized Manufacturing Enterprises

Authors: Zhiting Song; Jianhua Zhu; Jianfeng Shi;

Evolution Analysis of Green Innovation in Small and Medium-Sized Manufacturing Enterprises

Abstract

In recent years, green innovation has gained substantial attention and popularity from the manufacturing industry around the world. As an essential part of the manufacturing industry, small and medium-sized manufacturing enterprises (SMMEs) are vital participants that promote green innovation to realize sustainable development. However, how green innovation evolves in SMMEs is unclear, which hinders SMMEs from implementing or even adopting green innovation. This study attempted to essentially reveal the evolution of green innovation in SMMEs based on complex systems theory. First, this study divided green innovation into green product innovation and green process innovation, defined the state variables of the two components, and dissected the symbiotic interactions between them. This study then designed a nonlinear dynamic model followed by extensive simulations to theoretically and visually describe how green innovation evolves. This study found that green innovation with non-zero levels in both dimensions is desired and determines the evolutionary paths with corresponding measures that can guide SMMEs to realize green innovation at desired stable states. Besides, symmetric mutualism is discovered to be the optimal symbiotic interaction. Based on these findings, regulatory subjects and SMMEs can duly adjust the inputs on green innovation and the symbiotic interactions within green innovation to better manage green innovation practices.

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Keywords

evolutionary paths, complex systems theory, Systems engineering, evolutionary stability, TA168, green innovation, T1-995, SMMEs, Technology (General)

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
gold