Digital Modelling of the System of Knowledge Exchange and Building Within a Network of Industrial Enterprises
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 805, Page: 35-44
2023
- 3Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Book Chapter Description
The chapter aims to the study of the opportunities of using simulation modeling to describe the system of the knowledge exchange and building within a network of industrial enterprises. Such systems are responsible for the innovative development of companies, ensuring the development of more functional and resource-intensive products. Thus, innovative activity leads to sustainable production and consumption by ensuring high consumer value of goods. Within the framework of this work, the features of building industrial enterprise networks are considered from the point of view of possible strategies for combining companies. Based on the information received, the selection of simulation modeling tools is given. The result of the work is a conceptual hybrid model of the system of knowledge exchange and building within a network of industrial enterprises. The hybrid model being developed combines such paradigms of simulation modeling as system dynamics and agent modeling. Agent modeling tools are used to describe the dynamics of networks of industrial companies formed from independent agents–companies. System dynamics is used to describe the dynamics of knowledge flows and their economic equivalent. The results of the simulation of the agent model determine the coefficients that affect the processes of knowledge building. In turn, the choice of strategies by agents depends on the dynamics of accumulated knowledge and their financial equivalent. This work is an analytical basis for the development of a hybrid simulation model of the system of knowledge exchange and building within a network of industrial enterprises.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85180647024&origin=inward; http://dx.doi.org/10.1007/978-3-031-46594-9_3; https://link.springer.com/10.1007/978-3-031-46594-9_3; https://dx.doi.org/10.1007/978-3-031-46594-9_3; https://link.springer.com/chapter/10.1007/978-3-031-46594-9_3
Springer Science and Business Media LLC
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