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数字创新生态系统的多群体共生演化机制:数值模拟与案例研究。

Multi-group symbiotic evolutionary mechanisms of a digital innovation ecosystem: Numerical simulation and case study.

机构信息

School of Economics Management and Law, University of South China, Hengyang, P. R. China.

出版信息

PLoS One. 2024 Apr 4;19(4):e0300218. doi: 10.1371/journal.pone.0300218. eCollection 2024.

DOI:10.1371/journal.pone.0300218
PMID:38574064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10994354/
Abstract

In the digital innovation ecosystem, the symbiosis mode formed between ecosystem members not only relates to their survival and development but also affects the ecosystem's symbiosis evolution mechanism. Based on symbiosis theory, this study first explores the evolutionary equilibrium strategy and its stability for three types of populations-core enterprises, digital platforms, and university research institutes-and then uses numerical simulation and a case study to explore the symbiotic evolution mechanism of the digital innovation ecosystem. The results show that: First, the digital innovation ecosystem is a complex adaptive system in which the three types of populations form different symbiotic relationships under different symbiotic modes and conduct symbiotic activities, such as value co-creation, to characterize the unique symbiotic evolutionary structure. Second, in this ecosystem, the symbiotic relationship formed by the combined values of different symbiotic coefficients between populations determines the outcome of symbiotic evolution. Third, the ideal direction of the evolution of the digital innovation ecosystem is a mutually beneficial symbiotic relationship. Thus, the symbiotic relationship between populations should be transformed into a mutually beneficial symbiotic relationships as much as possible. This study makes theoretical contributions by shedding light on the symbiotic evolution mechanism of the digital innovation ecosystem. It also offers countermeasures for the digital innovation cooperation of various stakeholders in China's digital innovation ecosystem.

摘要

在数字创新生态系统中,生态系统成员之间形成的共生模式不仅关系到它们的生存和发展,还影响着生态系统的共生演化机制。本研究基于共生理论,首先探讨了核心企业、数字平台和大学研究所这三类群体的进化均衡策略及其稳定性,然后利用数值模拟和案例研究来探讨数字创新生态系统的共生演化机制。研究结果表明:首先,数字创新生态系统是一个复杂适应系统,三类群体在不同的共生模式下形成不同的共生关系,并进行共生活动,如价值共创,以表征独特的共生演化结构。其次,在这个生态系统中,群体之间不同共生系数的组合价值所形成的共生关系决定了共生演化的结果。第三,数字创新生态系统演化的理想方向是互利共生关系。因此,应尽可能将群体之间的共生关系转变为互利共生关系。本研究通过揭示数字创新生态系统的共生演化机制,做出了理论贡献。它还为中国数字创新生态系统中各利益相关者的数字创新合作提供了对策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/2edf7c0d8b33/pone.0300218.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/2edf7c0d8b33/pone.0300218.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/7ef6e8d4f306/pone.0300218.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/a31955a32fec/pone.0300218.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/ae554a285a07/pone.0300218.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/dfcb1c6f2bf6/pone.0300218.g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20f4/10994354/2edf7c0d8b33/pone.0300218.g006.jpg

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本文引用的文献

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PLoS One. 2023 Jul 21;18(7):e0289011. doi: 10.1371/journal.pone.0289011. eCollection 2023.
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Front Psychol. 2022 Nov 25;13:1055932. doi: 10.3389/fpsyg.2022.1055932. eCollection 2022.
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