Abstract
Facing the pressure of low-cost competition brought by the homogenization of commodities, the manufacturing industry seeks to survive by providing services. By providing outsourcing of value-added services to date, we are focusing on innovation in our business model. With the advancement of science and technology, manufacturing innovation is facing higher challenges, especially the popularization of the Internet, which makes the manufacturing industry have to move closer to new industries. Based on cloud computing, this paper conducts a multiagent simulation on the evolution factors of the innovation network of advanced manufacturing. This article takes three types of simulation subjects: evolutionary network, manufacturing (cluster), and innovation evolution system as the research objects. The factors affecting the evolution of the research are innovation resources, innovation opportunities, innovation desire, innovation pressure, relationship strength, network scale, and network scope. Network differences carry over variable indicators and analyze quantitative regression indicators and then build a research model. The research results show that the average conversion efficiency of the manufacturing industry (0.523) is significantly lower than the average R&D innovation efficiency (0.725), which to a certain extent indicates that the manufacturing industry still has weak links in the export conversion stage at the back end of the innovation value chain. Some of the companies may have problems such as low ability to transform scientific and technological achievements and insufficient export competitiveness of high-tech products, which to a large extent affects and restricts the improvement of manufacturing export transformation efficiency.
Highlights
With the in-depth implementation of the national innovation-driven development strategy, R&D innovation and industrial transformation and upgrading activities have received increasing attention from government departments at all levels. e construction of the national manufacturing industry aims to support a large number of high-tech enterprises in the park to carry out R&D and innovation activities to form a high-quality growth pole driven by knowledge and innovation and to promote regional industrial upgrading and economic transformation
The current national manufacturing industry has become the main force in promoting the implementation of the national innovation-driven development strategy
Bui N begins the research on organizational innovation, the organizational structure shifts from a purely hierarchical system to a functional system, the business division is formed as the main form of organizational innovation, and the organizational structure evolves into a super business division, and the organization, it layers the foundation for the evolution of the structure [1]
Summary
With the in-depth implementation of the national innovation-driven development strategy, R&D innovation and industrial transformation and upgrading activities have received increasing attention from government departments at all levels. e construction of the national manufacturing industry aims to support a large number of high-tech enterprises in the park to carry out R&D and innovation activities to form a high-quality growth pole driven by knowledge and innovation and to promote regional industrial upgrading and economic transformation. From the perspective of cloud computing technology and cross-organizational communication, Mohammadi explores the development of innovative activities of enterprises in different organizational configurations At this stage, it studies the changes in organizational innovation forms and influencing factors from the perspective of technical knowledge [4]. Most of the current research on the influencing factors of organizational innovation tends to be scattered, and there is a lack of research on the influencing factors and mechanisms of organizational innovation in the era of big data For this reason, this paper uses the combination weighting method and the ISM system to analyze the main influencing factors and influencing mechanism, and taking red-collar enterprises as an example, expounds the feasibility of the influencing mechanism [9]. In order to better explore the internal development and evolution of knowledge topics and make up for the lack of traditional prediction methods in the prediction of knowledge topics, this article focuses on two major issues in the evolution of knowledge manufacturing innovation network prediction research: multiagent influence factors and sensitivity to network evolution
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