Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems
Abstract The symbiotic evolution of stakeholders within digital innovation ecosystems (DIES) is crucial for achieving ecological sustainability. Thus, we integrate the Lotka-Volterra symbiotic evolution model into digital DIES research by constructing both three-actor and four-actor dynamic interact...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-09027-6 |
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| author | Yinyin Gong Yongqing Zhang Lijie Dong |
| author_facet | Yinyin Gong Yongqing Zhang Lijie Dong |
| author_sort | Yinyin Gong |
| collection | DOAJ |
| description | Abstract The symbiotic evolution of stakeholders within digital innovation ecosystems (DIES) is crucial for achieving ecological sustainability. Thus, we integrate the Lotka-Volterra symbiotic evolution model into digital DIES research by constructing both three-actor and four-actor dynamic interaction frameworks and simulating multiple symbiotic evolution scenarios. This study indicates that: (1) The principal actors in DIES are core digital enterprises, innovation partners, digital product users, and digital platforms, with their interdependencies governed by symbiotic coefficients. (2) Introducing the digital platform into the four-actor symbiotic model significantly increases the system’s maximum carrying capacity and equilibrium scale. Parasitic symbiosis and commensal symbiosis may temporarily enhance individual actors’ competitiveness, but they undermine the overall stability of cooperation, whereas mutually beneficial symbiosis provides the optimal pattern for system evolution. (3) Building on these insights, we propose a governance framework centered on resource balancing, value sharing, and trust cooperation, and demonstrate its practical applicability through an Alibaba Cloud case study. This work not only broadens the scope of symbiosis theory within a digital-economy context but also provides actionable guidance for designing efficient, resilient DIES. |
| format | Article |
| id | doaj-art-e0b3f0a8bd1d406d8e9d374194e515aa |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e0b3f0a8bd1d406d8e9d374194e515aa2025-08-20T03:03:25ZengNature PortfolioScientific Reports2045-23222025-07-0115112010.1038/s41598-025-09027-6Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystemsYinyin Gong0Yongqing Zhang1Lijie Dong2Business School, University of Shanghai for Science and TechnologyBusiness School, University of Shanghai for Science and TechnologyBusiness School, University of Shanghai for Science and TechnologyAbstract The symbiotic evolution of stakeholders within digital innovation ecosystems (DIES) is crucial for achieving ecological sustainability. Thus, we integrate the Lotka-Volterra symbiotic evolution model into digital DIES research by constructing both three-actor and four-actor dynamic interaction frameworks and simulating multiple symbiotic evolution scenarios. This study indicates that: (1) The principal actors in DIES are core digital enterprises, innovation partners, digital product users, and digital platforms, with their interdependencies governed by symbiotic coefficients. (2) Introducing the digital platform into the four-actor symbiotic model significantly increases the system’s maximum carrying capacity and equilibrium scale. Parasitic symbiosis and commensal symbiosis may temporarily enhance individual actors’ competitiveness, but they undermine the overall stability of cooperation, whereas mutually beneficial symbiosis provides the optimal pattern for system evolution. (3) Building on these insights, we propose a governance framework centered on resource balancing, value sharing, and trust cooperation, and demonstrate its practical applicability through an Alibaba Cloud case study. This work not only broadens the scope of symbiosis theory within a digital-economy context but also provides actionable guidance for designing efficient, resilient DIES.https://doi.org/10.1038/s41598-025-09027-6Digital innovation ecosystemLotka–Volterra modelSymbiotic evolutionGovernance mechanism |
| spellingShingle | Yinyin Gong Yongqing Zhang Lijie Dong Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems Scientific Reports Digital innovation ecosystem Lotka–Volterra model Symbiotic evolution Governance mechanism |
| title | Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| title_full | Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| title_fullStr | Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| title_full_unstemmed | Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| title_short | Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| title_sort | numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems |
| topic | Digital innovation ecosystem Lotka–Volterra model Symbiotic evolution Governance mechanism |
| url | https://doi.org/10.1038/s41598-025-09027-6 |
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