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Research on the niche evolution game of ecological community innovation of corporate venture capital based on logistic extended complexity model

Research on the niche evolution game of ecological community innovation of corporate venture capital based on logistic extended complexity model

Meng, Fanglin, Tian, Zengrui, Chang, Beiquan, Yu, Hongxin and Zhang, Shuai ORCID: 0000-0002-9796-058X (2020) Research on the niche evolution game of ecological community innovation of corporate venture capital based on logistic extended complexity model. Complexity, 2020:6327218. ISSN 1076-2787 (Print), 1099-0526 (Online) (doi:https://doi.org/10.1155/2020/6327218)

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Abstract

With the gestation and development of new technologies, new products, new formats, and new models, venture capital in- vestment, as one of the most important forms of open innovation in large companies, plays an increasingly important role in the innovation of mature large companies and entrepreneurial enterprises. To deal with the complex and dynamic environment, the niche of Corporate Venture Capital (CVC) ecological community is investigated from the perspective of the innovation eco- system. By analyzing the innovation of CVC ecological community with the use of the logistic expansion model, this paper analyzes the stability of evolution game through the replicator dynamic equation and discusses ten parameters of niche state. In the end, we conclude that there are four optimization strategies in the coevolution of major corporations and entrepreneurial rms, namely, niche separation, niche expansion, niche K-R, and niche alliance.

Item Type: Article
Additional Information: Copyright © 2020 Fanglin Meng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: Niche Evolution Game, Ecological Community Innovation, Corporate Venture Capital
Subjects: H Social Sciences > HB Economic Theory
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 03 Dec 2020 20:53
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 1
URI: http://gala.gre.ac.uk/id/eprint/28605

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