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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Policy
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Organizing business ecosystems in emerging electric vehicle industry: Structure, mechanism, and integrated configuration

Authors: Tianjiao Shang; Yantai Chen; Han Hao; Ke Rong; Yongjiang Shi;

Organizing business ecosystems in emerging electric vehicle industry: Structure, mechanism, and integrated configuration

Abstract

The paper develops the structure of business ecosystems, operating mechanisms and integrated configuration models by examining multiple case studies of electric vehicle (EV) producers in China and the EU (Germany, France and Denmark). The EV ecosystem can be categorized into four paradigms using a target market (mainstream or niche innovation) and growth context (advanced economies or emerging economies). These four paradigms are advanced mainstream, advanced niche, emerging mainstream and emerging niche. This research also explores three key operating mechanisms with which to organize EV business ecosystems, namely vision developing, platform organizing and institution re-configuring. As a latecomer,compared with western paradigms, the development of Chinese EV industry is more openly engaged with vision development, platform organization and institution reconfiguration, such as government regulation.

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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
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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!
46
Top 10%
Top 10%
Top 10%