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Sustainability
Article . 2022 . Peer-reviewed
License: CC BY
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Sustainability
Article . 2022
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How Does Successful Catch-Up Occur in Complex Products and Systems from the Innovation Ecosystem Perspective? A Case of China’s High-Speed Railway

Authors: Zhongji Yang; Liangqun Qi; Xin Li; Tianxi Wang;

How Does Successful Catch-Up Occur in Complex Products and Systems from the Innovation Ecosystem Perspective? A Case of China’s High-Speed Railway

Abstract

Successful catch-up is an important channel to achieve sustainable development for emerging economies; however, it is a great challenge to catch up in complex products and systems (CoPS). Studies show limited evidence on how successful catch-up occurred in CoPS for emerging economies. This study holds the view that CoPS catch-up means a narrower gap in the innovation ecosystem between latecomers and leaders. This study disentangles the CoPS innovation ecosystem and uses China’s high-speed railway (HSR) as a longitudinal case with abundant data to explore how successful catch-up in CoPS is achieved. The results show that the CoPS innovation ecosystem presents a dynamic evolution in the technology innovation subsystem, the value creation subsystem, and the habitat. Four types of forces from the innovation ecosystem mix together to drive CoPS catch-up. Finally, this study proposes a CoPS catch-up process model following the basic logic of start point, activities, and performance, and CoPS industrial standards are used to measure CoPS catch-up performance. The study on CoPS catch-up from an innovation ecosystem perspective provides new insights and useful implications for governments and entities in CoPS of emerging economies.

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Keywords

catch-up, China, Environmental effects of industries and plants, TJ807-830, high-speed railway, TD194-195, innovation ecosystem, Renewable energy sources, Environmental sciences, GE1-350, complex products and systems, emerging economies

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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.
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    influence
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citations
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!
2
Average
Average
Average
gold