Research on Green Collaborative Innovation Mechanism of Cloud Manufacturing Enterprises under Government Supervision

Zhai, Jiaqi; Xu, Xinliang; Xu, Jianzhong; Lyu, Xichen

doi:10.1155/2021/8820791

Cited by 13 publications

(15 citation statements)

References 41 publications

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“…e model system of knowledge sharing platform based on Web is usually composed of following layers: interface layer, access and authentication layer, collaborative filtering and intelligence layer, application layer, transport layer, middleware and legacy integration layer, and accumulation layer (2). Applying web technology to the construction of knowledge sharing platform can effectively share, integrate, and reuse heterogeneous knowledge resources distributed on the web, facilitate the construction of web-based knowledge sharing platform, and realize knowledge sharing and reuse on the web [17,18]. e knowledge management system is a platform for knowledge sharing and an application system or information communication platform for managing explicit and tacit knowledge according to local conditions [19].…”

Section: Knowledge Sharing Platform Modelmentioning

confidence: 99%

Health Education Knowledge Service Information System Model Based on Virtual Reality

Chen

2022

Mobile Information Systems

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In order to solve the problem of more and more vicious events caused by college students“ mental ill-health, a research method of health education knowledge service information system model based on virtual reality is proposed. The platform development approach is based on virtual reality to provide technical support to the process of acquiring, maintaining, pushing, applying, and updating the knowledge of mental health education for college students. The system includes a knowledge base for storing college students’ mental health education knowledge, tools for supporting acquisition, classification, editing, and storage of knowledge, and tools for knowledge sharing, application, and innovation of teachers and experts engaged in college students’ mental health education. The results are as follows: after using this system, the proportion of students with excellent mental health status in a university has increased significantly, reaching 75%, and the proportion of students with poor health status has decreased from 15% to 7%. The mental health knowledge sharing platform designed in this paper has obtained satisfactory evaluation in the trial universities, accounting for 68% of the trial population. The system presented in this article demonstrates that the system can significantly improve the mental health of college students, and the system outlined in this document is important for improving the efficiency and quality of mental health education for college students and for effectively managing educational knowledge.

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Section: Knowledge Sharing Platform Modelmentioning

confidence: 99%

Health Education Knowledge Service Information System Model Based on Virtual Reality

Chen

2022

Mobile Information Systems

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“…Wang et al [24] explored the evolutionary process among three parts, including the governments, firms, and consumers, and analyzed how the participants' strategies influence the equilibrium. Chai et al [25] modeled the evolutionary process between the governments and two manufacturers and pointed out which factors affect their cooperative choices. Sun et al [26] built two evolutionary models under two mechanisms, including punishment and subsidy, discussed the evolutionary process of players, and derived the ESS of these models.…”

Section: Introductionmentioning

confidence: 99%

Security Regulation and Enterprise Innovation in Communication Industry

Gao

2021

Security and Communication Networks

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This paper conducted an evolutionary game model of the interaction between the governments and communication enterprises and analyzed the impact of the government’s communication security regulation on the innovation decision-making of communication enterprises. The results show that the behavior of the governments depends on the social benefits, rent-seeking benefits, and regulating costs in strict and de security regulations. The communication enterprises’ behavior depends on the benefits of innovation and the costs in R&D and rent-seeking. When government subsidies are relatively inadequate, the communication enterprises’ strategy under government security regulation swings from not-innovation finally to innovation. The policy implications of this study indicate that appropriate de security regulation by the government will help communication enterprises generate a good atmosphere for innovation, and the appropriate increase in subsidies will be more conducive to driving enterprise innovation.

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“…The government’s final decision and the rate at which a stable state is achieved are not affected by the revenue of cooperative innovation

. In terms of the collaborative innovation mode of green technology with government participation and cooperation between an enterprise and a university/institute, changing cooperative innovation revenue directly affects the profits of the enterprise and the university/institute, and then has an impact on their cooperation intentions [ 58 , 59 ]; however, it will not affect the government’s profit. Therefore, under the premise of the government being inclined to participate in green technology innovation, increasing cooperative innovation revenue is conductive to promoting the building of the pilot of government–industry–university–institute collaborative innovation; however, reducing this revenue hinders completion of the pilot.…”

Section: Simulation and Discussionmentioning

confidence: 99%

Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata

Zhou

2022

IJERPH

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In order to ensure stable cooperation among the government, enterprise and university/institute in the green technology innovation process and guide an increasing number of innovation agents in the region to adopt cooperation, this paper studies the mechanism of green technology innovation. A tripartite evolutionary game model is established and the strategy choices of the government, industry and university/institute are analyzed through mathematical derivation. On this basis, the cellular automata theory is used to explore strategy choices of all innovation agents in the region from the perspective of a spatial game. From the numerical tests, the following results are obtained: increasing the cooperative innovation revenue, fairness of this revenue distribution or penalties for breach of contract can consolidate the cooperative relationship among the government, enterprise and university/institute, achieving the goal of guiding all innovation agents in the region to accept the collaborative innovation mode; regulating the government subsidy or government penalty can consolidate the cooperative relationship among participants in the pilot project, but cannot guide all innovation agents in the region accept the collaboration innovation mode. This paper’s results not only enrich the theory of government–industry–university–institute collaborative innovation in green technology, but provide ideas for stable cooperation mechanisms and comprehensive promotion of this collaborative innovation mode as well.

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Research on Green Collaborative Innovation Mechanism of Cloud Manufacturing Enterprises under Government Supervision

Cited by 13 publications

References 41 publications

Health Education Knowledge Service Information System Model Based on Virtual Reality

Health Education Knowledge Service Information System Model Based on Virtual Reality

Security Regulation and Enterprise Innovation in Communication Industry

Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata

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