基于区块链技术的协同创新知识共享研究

为探究区块链技术对协同创新中知识共享的影响，构建基于区块链技术的协同创新知识共享系统模型，分析区块链技术特性对协同创新知识共享过程和结果的影响。在此基础上，引入Steemit区块链网络社区，基于现实数据构建知识共享系统动力学模型，并运用Vensim PLE软件进行仿真。结果表明，区块链技术有助于构建全新的协同创新生态系统，通过营造去信任化的知识共享环境、提升协同创新伙伴异质性，推动协同创新知识共享进程，提升知识共享水平与质量。

Collaborative Innovation Knowledge Sharing Based on Blockchain Technology

Collaborative innovation is a comprehensive and in-depth cooperative innovation behavior and process with innovation as the goal and multi-agent, multi-element and multi-stage collaborative interaction as the center. From the perspective of knowledge innovation, collaborative innovation refers to the network organization that promotes knowledge flow and sharing through knowledge acquisition, transmission, application and feedback activities, and increases the knowledge reserve of each member, and finally forms knowledge advantages through knowledge collaborative creation. Among them, knowledge sharing is not only an important part of the above process, but also the main way to realize the diffusion of knowledge among collaborative subjects (enterprises and research institutions). However, collaborative innovation knowledge sharing needs to coordinate the knowledge elements and the environment, as well as the relationship between knowledge sharing subjects, in order to integrate the scattered and disordered knowledge in the system into a new orderly knowledge system, and realize collaborative innovation. Existing research believes that blockchain, as an open source underlying technology, can attract collaborative innovation partners with different knowledge structures and organizational cultures, but the impact of blockchain technology on knowledge sharing in collaborative innovation and the mechanism through which this impact plays a role are vogue. This paper aims to explore the knowledge sharing process of collaborative innovation under the influence of blockchain, and build a knowledge sharing network system for collaborative innovation based on blockchain to promote the application of blockchain technology in collaborative innovation system in practice.#br#The existing knowledge sharing theory of collaborative innovation believes that the nature of knowledge, the relationship between subjects, the level of conflict, and even the recognition of knowledge sharing results and the expectation of income distribution will affect the knowledge sharing process in collaborative innovation. From the perspective of the nature and characteristics of knowledge, with the advancement of collaborative innovation, tacit knowledge continues to increase, and the higher the complexity of knowledge, the worse the transferability of knowledge. Secondly, in the relationship between knowledge sharing subjects, trust plays a crucial role. Thirdly, from the perspective of inter-subject conflict, due to the differences in knowledge structure, organizational culture and innovation goals among the cooperating parties, conflicts among cooperative members are inevitable in the process of knowledge sharing, and this conflict will affect the process of knowledge sharing. Even in the case of the same goals, due to the bounded rationality of human beings and the complexity of knowledge, there will be coordination problems in knowledge sharing in collaborative innovation, and corresponding transaction costs will be generated. While blockchain technology can create a trustless distribution, and provides a solution to the problems of high maintenance cost, low transmission efficiency and low data security reliability existing in knowledge sharing between organizations.#br#Facing the problem of knowledge sharing in collaborative innovation, this paper introduces the case of collaborative innovation knowledge sharing in the Steemit blockchain network community and combines the characteristics of blockchain, uses VensimPLE software to build a system dynamics model for simulation analysis, and discusses the influence and mechanism of trustless partnership and high-heterogeneous partners in the process and results of collaborative innovation knowledge sharing. Among them, the experimental data adopts two parameter estimation methods: the first is to collect relevant data from literature search and white papers issued by authoritative organizations; the second is to collect real data information in the MSSQL database. The initial value of the total number of Steemit tokens is determined by collecting data information in the SteemDB browser. The experimental results show that trustless knowledge sharing partnership and high heterogeneity knowledge sharing partnership based on blockchain technology have a significant impact on improving the quality of knowledge sharing in collaborative innovation. To sum up, the process and performance of collaborative innovation knowledge sharing under the blockchain technology have been significantly improved. The trustless knowledge sharing partnership can ensure the authenticity of information in the process of collaborative innovation, promote mutual learning among collaborative innovation members, accelerate the transfer of tacit knowledge, and enhance the knowledge creation and knowledge sharing power of collaborative innovation members. High heterogeneity knowledge sharing partners can attract more collaborators, promote the formation of knowledge creation groups and knowledge sharing groups, and provide a wider range of knowledge sharing sources for collaborative innovation knowledge sharing, thus consolidating the foundation of knowledge creation.#br#