Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach

The article is aimed at developing a way to optimize the management of intellectual property (IP) objects by a process-functional approach based on the use of neural networks in combination with planning networks in conditions of uncertainty. When analyzing the works of various scholars, conceptual...

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Autores principales: Cherepanova Viktoriia О., Sylka Ihor V.
Formato: article
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RU
UK
Publicado: Research Centre of Industrial Problems of Development of NAS of Ukraine 2021
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Acceso en línea:https://doaj.org/article/fd61fb12ec8d42d095d665080a1919d8
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spelling oai:doaj.org-article:fd61fb12ec8d42d095d665080a1919d82021-11-04T07:50:03ZOptimizing the Intellectual Property Management in Accordance with a Process-Functional Approach10.32983/2222-4459-2021-9-41-512222-44592311-116Xhttps://doaj.org/article/fd61fb12ec8d42d095d665080a1919d82021-09-01T00:00:00Zhttps://www.business-inform.net/export_pdf/business-inform-2021-9_0-pages-41_51.pdfhttps://doaj.org/toc/2222-4459https://doaj.org/toc/2311-116XThe article is aimed at developing a way to optimize the management of intellectual property (IP) objects by a process-functional approach based on the use of neural networks in combination with planning networks in conditions of uncertainty. When analyzing the works of various scholars, conceptual approaches to the formation of IP management according to both the process and the functional approaches to management were considered. The use of artificial neural networks in intellectual property management at industrial enterprises in combination with network planning in conditions of uncertainty is systematized. Neural networks consist of different architectures, but to manage intellectual property it is advisable to use either Self-Organizing Maps (SOM) by Kohonen, or Generative Pre-trained Transformer 3 (GPT-3), or Rumelhart Multilayer Perceptron, or an combination of the above. It is proved that the proposed scientific approach (instrumentarium) in the form of neural networks and network planning allows reducing the time for implementation of works related to the management of intellectual property at industrial enterprises on the grounds of a process-functional approach. Based on the carried out study, the computation of spent time was carried out, which confirmed the efficiency of the implementation of neural networks in combination with network schedule for the management of intellectual property in industrial enterprises. Prospects for further research in this direction are the development and construction of a universal instrument using neural networks and network schedule. Further development of intellectual property management will increase production efficiency and profitability of enterprises.Cherepanova Viktoriia О.Sylka Ihor V.Research Centre of Industrial Problems of Development of NAS of Ukrainearticleintellectual propertynetwork modelneural networkmanagement of intellectual propertyscientific approaches to intellectual property managementBusinessHF5001-6182ENRUUKBìznes Inform, Vol 9, Iss 524, Pp 41-51 (2021)
institution DOAJ
collection DOAJ
language EN
RU
UK
topic intellectual property
network model
neural network
management of intellectual property
scientific approaches to intellectual property management
Business
HF5001-6182
spellingShingle intellectual property
network model
neural network
management of intellectual property
scientific approaches to intellectual property management
Business
HF5001-6182
Cherepanova Viktoriia О.
Sylka Ihor V.
Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
description The article is aimed at developing a way to optimize the management of intellectual property (IP) objects by a process-functional approach based on the use of neural networks in combination with planning networks in conditions of uncertainty. When analyzing the works of various scholars, conceptual approaches to the formation of IP management according to both the process and the functional approaches to management were considered. The use of artificial neural networks in intellectual property management at industrial enterprises in combination with network planning in conditions of uncertainty is systematized. Neural networks consist of different architectures, but to manage intellectual property it is advisable to use either Self-Organizing Maps (SOM) by Kohonen, or Generative Pre-trained Transformer 3 (GPT-3), or Rumelhart Multilayer Perceptron, or an combination of the above. It is proved that the proposed scientific approach (instrumentarium) in the form of neural networks and network planning allows reducing the time for implementation of works related to the management of intellectual property at industrial enterprises on the grounds of a process-functional approach. Based on the carried out study, the computation of spent time was carried out, which confirmed the efficiency of the implementation of neural networks in combination with network schedule for the management of intellectual property in industrial enterprises. Prospects for further research in this direction are the development and construction of a universal instrument using neural networks and network schedule. Further development of intellectual property management will increase production efficiency and profitability of enterprises.
format article
author Cherepanova Viktoriia О.
Sylka Ihor V.
author_facet Cherepanova Viktoriia О.
Sylka Ihor V.
author_sort Cherepanova Viktoriia О.
title Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
title_short Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
title_full Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
title_fullStr Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
title_full_unstemmed Optimizing the Intellectual Property Management in Accordance with a Process-Functional Approach
title_sort optimizing the intellectual property management in accordance with a process-functional approach
publisher Research Centre of Industrial Problems of Development of NAS of Ukraine
publishDate 2021
url https://doaj.org/article/fd61fb12ec8d42d095d665080a1919d8
work_keys_str_mv AT cherepanovaviktoriiao optimizingtheintellectualpropertymanagementinaccordancewithaprocessfunctionalapproach
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