Enterprise Intellectual Property Research Articles

Design of IPR evaluation system based on linear regression model

Abstract This paper first defines the conceptual scope of intellectual property, and the intellectual property evaluation system analyzes the special characteristics of enterprise intellectual property evaluation and compares the differences between several intellectual property management models. Secondly, an open adaptive enterprise IPR evaluation system is constructed based on a linear regression model, and the system structure and the relationship between subsystems are analyzed in depth. Finally, based on the theory of adaptive evaluation management, the adaptive IPR evaluation system is constructed. The adaptive enterprise IPR evaluation model based on linear regression was constructed mainly from three dimensions, and the method to determine the development coordination index and early warning degree of the three dimensions was deduced. The results show that the average efficiency of the typical enterprise IPR evaluation system calculated based on the linear regression model is 0.86, which is 21.3% more efficient than the traditional model. Four of the decision units’ DEA is effective, 63% of the inputs are effective, and 37% of the input resources are wasted, which aligns with the actual enterprise. The adaptive IPR evaluation system based on the linear regression model proposed in this paper has theoretical innovation value and practical significance for enterprises to realize the transformation of IPR achievements.

Application of dynamic database based on machine learning in enterprise intellectual property management

Application of dynamic database based on machine learning in enterprise intellectual property management

ПРИНЦИПЫ ИНФОРМАЦИОННОГО ОБЕСПЕЧЕНИЯ УПРАВЛЕНИЯ ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТЬЮ ПРЕДПРИЯТИЯ В УСЛОВИЯХ ЦИФРОВИЗАЦИИ

The article reveals the features of modern information technologies, highlights the principles of information support and defines the features of using each of them. The purpose of the study is to identify current principles for improving the quality of management information support. The author analyzed six aspects of enterprise intellectual property management. The application of the principles of management information support for each analyzed aspect of intellectual property management is proposed. It is concluded that the use of new technologies makes it possible to improve the quality of management, including the intellectual property of an enterprise, through the use of new opportunities that were previously unavailable for technical and economic reasons.

Research on enterprise intellectual Property management standard system based on artificial intelligence

With the steady development of modern society and economy, the requirements for intellectual property management of relevant enterprises are getting higher and higher. According to the enterprise intellectual property management of our country put forward normative analysis shows that the state intellectual property office, state administration of market supervision and management, the national standardization management committee in the draft for examination and approval, will this standard as enterprise intellectual property management system and management methods of important basis, provide strong support for enterprise sustainable development. Therefore, on the basis of understanding the development status of artificial intelligence technology and according to the construction and application of enterprise intellectual property management standard system in recent years, this paper deeply discusses the opportunities and challenges faced by enterprise intellectual property management standard system based on artificial intelligence, so as to provide effective basis for future enterprise technology research and development and application.

Research on the Application of Network Security Defense Based on Artificial Intelligence

With the continuous close relationship between the network and all aspects of people’s life, the network security threats that people are facing are also gradually rising, such as the protection of personal privacy information, the protection of enterprise intellectual property rights and core technology, and other aspects are related to the research and utilization of network security defense. The utilization of artificial intelligence in network security defense can greatly improve the protection ability of network security, so it has high research value. Based on this, this paper first analyses the utilization process of artificial intelligence in network security research, and then studies the current situation of network security defense, as well as the specific utilization of network security defense based on artificial intelligence.

Organizational and economic mechanism of industrial enterprise intellectual property management

Organizational and economic mechanism of industrial enterprise intellectual property management

Research on SME Intellectual Property Administrative Standardization

With the rapid development of science and technology, the process of economic globalization has been acceler- ated, intellectual property competition heats up, which becomes the key to the development of enterprise management, competition and restricting factors in the modern economic environment. Enterprise must take both with international laws and regulations system, and can effectively protect the interests of the market of intellectual property strategy for long-term development. Through summing up chinese enterprise intellectual property present situation, in accordance with the national standard of enterprise intellectual property management of the specific re- quirements, this paper builds the whole process of enterprise operation and model of intellectual property standardization management, to establish a scientific processes and system for enterprise framework to provide the reference. Social informatization level continuously jumped in re- cent years. The Chinese enterprises were profoundly affected by economic globalization. In different sectors of the economic and trade activities, there were more and more friction of IPR protection between China and the rest of the world. Especially foreign multinationals make IPR for commercial competitive weapons, containing the rapid development of China's enterpris, which ot only causes serious economic losses to the enterprise development, and also have a negative impact on Chinese enterprises going out strategy of overseas. Enterprise is the main body of the implementation of the national and regional intellectual property strategy, to establish an effective intellectual property system has become a modern enterprise must abide by the rules of the game. As the domestic market and the government pay more and more attention on IPR, a batch of normative documents such as Rules of Enterprise IPR Management were formulated and promulgated in 2013(1). There are a large number of SME, which possess strong innovation ability. In the process of scale and intensive development, Enterprises must be fully prepared to deal with IPR of the non-tariff barriers. Chinese enterprises should take the intellectual property standardization construction actively, lay a sound foundation for long-term stable development, economic transformation and upgrading.

An AHP-GA-BP Algorithm for Evaluation of Enterprise Collaborative Innovation Management of Intellectual Property Rights

Based on the theory of BP neural network, we use AHP method to construct the index system and standard of enterprise collaborative management of intellectual property rights under the view of innovation, and the specific evaluation indexes are given from five aspects. In this paper, in order to overcome the existing shortcomings of multi index system In the evaluation method, we use AHP-GA-BP neural network to comprehensive evaluation each index of enterprise intellectual property management. Our method not only displays the evaluation expert experience in learning The evaluation results show that this algorithm can effectively analyze enterprise intellectual property management problems.

The Grey Clustering Evaluation Model of Enterprises IPR Performance Management

The enterprise intellectual property rights supervisory work is acomplex system engineering, the achievements of management performance is from management process and final product. Through the semantic resolution, from the service quality and the technical quality two aspects, has constructed the enterprise intellectual property rights management achievements pessimistic cluster quality synthetic evaluation model, and unifies the example confirmation model the accuracy and the validity.

A survey on Beijing's cultural creative industries

Cultural and creative industries are one of the important aspects of modern service industry, '11th Five-Year Plan' made by Beijing puts forward high-end industrial development and clearly indicates the emphases of developing cultural and creative industries. The breakthrough driving modern service industries by mean of developing cultural and creative industries is of great significance for Beijing's economic and social development. Against this background, this study investigates the development status of Beijing's cultural and creative industries and finds Beijing's cultural and creative enterprises' business circumstance, human resource development, internationalisation status and enterprise innovation and intellectual property protection. The study also discusses Beijing's the cluster development of cultural and creative industries, aiming at discovering the development status quo and characteristics of cultural and creative industries, analysing its problems in order to make strategies and recommendations for the development of Beijing's cultural and creative industries.

Intellectual property rights and enterprise development: Some policy issues and options in ASEAN

Intellectual property (IP) is a form of knowledge or intellectual activity embodied in various ways in the production and marketing of goods and services of an industrial, scientific, literary or artistic nature. At the micro level IP has been a significant source of growth and a major driver of competitive strategies virtually across the globe. This paper analyses the divergence between enterprise development and IP creation in the ASEAN region. The paper highlights the fact that most IP assets, particularly patents, are not formally registered in the ASEAN group of countries. This is due to the complexity and high transaction costs of registering IP assets. The paper indicates the strong need for more research into the nature and characteristics of technological progress at the enterprise level and how best to adapt formal IP registration systems so that enterprises can be encouraged to register their technological innovations and derive benefit from them.