| 摘要: |
| 作为数字创新生态系统全新的生产要素，数据资源全面参与并影响主体竞合行为与过程。如何建立多主体间竞合关系以促进数据资源流通、提升数据资源价值，已成为数字创新生态系统高效运行的关键问题。基于数字创新生态系统下数据资源对竞合关系的解构与重组作用，依据“多主体特征—竞合维度—关系分类—竞合关系重塑策略”理论逻辑，本文构建了数字创新生态系统下多主体竞合关系分析框架，根据改进的Logistic模型和Lotka-Volterra模型，以三主体智能驾驶数字创新生态系统为背景，建立数字创新生态系统无竞合关系重塑策略和有竞合关系重塑策略下数据资源收益演化模型，以检验其对数据资源收益演化的理论逻辑。研究结果表明：当合作式主体、嵌入式主体均维持与主导式主体之间的友好型竞合关系时，协同型竞合关系能有效促进合作式主体与嵌入式主体的数据资源收益产出；当主导式主体采用激励共享型竞合关系重塑策略时，各主体易形成互惠型竞合共生状态，数字创新生态系统数据资源的综合效益实现最优。研究结论拓展了数据资源在数字创新生态系统领域的应用情境，为主体制订竞合战略、消除资源隔阂、开拓价值空地提供了新思路。 |
| 关键词: 数字创新生态系统 数据资源 竞合关系 重塑策略 |
| DOI：10.13581/j.cnki.rdm.20220454 |
| 分类号:F273.1 |
| 基金项目:国家自然科学基金项目“开放式知识网络与高技术服务模式创新——影响机理、动态耦合及路径选择”（71402041）；黑龙江省哲学社会科学研究规划项目“数字经济驱动黑龙江省产业转型升级的机理与路径研究”（21JLB085）；山东省重点研发计划（软科学）项目“突变情境下服务型制造网络数字化融合机理及动态路径研究”（2021RKY02022）。 |
|
| How Data Resources Reshape Multi-agent Co-opetition Relationships in Digital Innovation Ecosystem?—Deconstruction and Reorganization of Intelligent Driving Digital Innovation Ecosystem |
|
SHAN Zi-dan1,2, ZENG Yan-hong1, LI Hui-min1, WANG Ya-qi1
|
|
1.School of Economics and Management， Harbin University of Science and Technology， Harbin 150040， China;2.Research Center of High Tech Industry Development， Harbin University of Science and Technology， Harbin 150040， China
|
| Abstract: |
| As a new production factor of the digital innovation ecosystem， data resources are fully participating in and influencing the co-opetition behavior and process. To promote the circulation of data resources and increase the value of data resources， establishing the multi-agent co-opetition relationship has become a key issue in the efficient operation of the digital innovation ecosystem. According to the deconstruction and reorganization of data resources， it constructed an analytical framework of multi-agent co-opetition relationships on the theoretical logic of “multi-agent characteristics-co-opetition dimensions-relationship classification-remodeling strategy of co-opetition relationships”. And then， based on the improved Logistic model and Lotka-Volterra model， it established the evolution models of three-agent intelligent driving digital innovation ecosystem without and with the impact of remodeling strategies， in order to test the theoretical logic of strategies on the evolution of data resource revenues. The results show that when both cooperative agents and embedded agents maintain a friendly co-opetition relationship with dominant actors， collaborative co-opetition relationship can effectively promote data resource revenue output of cooperative agents and embedded agents； when dominant agents adopt incentive-sharing remodeling strategy， all agents are prone to form a reciprocal co-opetitive symbiosis state， and the comprehensive revenues of data resources in the digital innovation ecosystem achieve optimality. The conclusions expand the application scenarios of data resources in the field of digital innovation ecosystem and provide a new idea for entities to formulate co-opetition strategies， eliminate resource barriers， and open up value space. |
| Key words: digital innovation ecosystem data resource co-opetition relationship remodeling strategy |
