economypromЭкономика промышленности / Russian Journal of Industrial EconomicsRussian Journal of Industrial Economics2072-16332413-662XMISIS10.17073/2072-1633-2024-3-1234economyprom-1234Research ArticleЭкономика знанийKnowledge economyСтратегии инновационной деятельности стран по направлению развития интеллектуальных системStrategies of the countries’ innovative activity in development of intelligent systemshttps://orcid.org/0000-0003-3257-0000СтародубоваА. А.StarodubovaA. A.

Анна Александровна Стародубова – канд. экон. наук, доцент

420015, Казань, ул. К. Маркса, д. 68

Anna A. Starodubova – PhD (Econ.), Associate Professor

68 Karl Marx Str., Kazan, 420015

upfr-nk@list.ruhttps://orcid.org/0000-0002-1131-1985ИсхаковаД. Д.IskhakovaD. D.

Динара Даниловна Исхакова – канд. пед. наук, доцент

420015, Казань, ул. К. Маркса, д. 68

Dinara D. Iskhakova – PhD (Ped.), Associate Professor

68 Karl Marx Str., Kazan, 420015

dina-iskhakova@yandex.ruКазанский национальный исследовательский технологический университетРоссияKazan National Research Technological UniversityRussian Federation202423072024173271278Copyright © Стародубова А.А., Исхакова Д.Д., 20242024Стародубова А.А., Исхакова Д.Д.Starodubova A.A., Iskhakova D.D.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ecoprom.misis.ru/jour/article/view/1234

Развитие интеллектуальных систем, в основе которых лежит искусственный интеллект в области исследований и разработок технических систем, – это новое конкурентное преимущество, драйвер роста страны. Авторами предложены показатели инновационной деятельности страны в области развития интеллектуальных систем: доля патентов страны в количестве патентов по всем странам; количество национальных стратегий в области интеллектуальных систем в стране; география внедрения разработанных странами интеллектуальных систем. Введен термин – «индекс специализации страны в сфере интеллектуальных технологий». Индекс специализации – это соотношение фактического количества видов патентов, зарегистрированных в стране в области интеллектуальных технологий, к 10 потенциально возможным видам патентов. К ним относятся патенты по передовым производственным технологиям, робототехнике, передовым материалам, искусственному интеллекту, большим данным, интернету вещей, мобильности, фотонике, безопасности, цифровым двойникам. Используя кластерный метод, сгруппированы 43 страны по уровню инновационной деятельности в области развития интеллектуальных систем, основываясь на данных Всемирной организации интеллектуальной собственности и Европейской комиссии за 2023 г. Это позволило разработать классификацию стратегий инновационной деятельности стран в области развития интеллектуальных систем (на основе скоринговой оценки). Предложенная классификация позволяет проводить бенчмаркинг в целях изучения опыта страны и оценивать инвестиционные риски проектов в области развития интеллектуальных систем.

Development of intelligent systems based on artificial intelligence in the area of research and development of technical systems is a new competitive advantage and a growth driver for a country. The authors of the article present the indicators of innovative activity of the countries in development of intelligent systems: the share of the country’s patents in the number of patents for all countries, the number of national strategies in the area of intelligent systems in the country, the geography of implementation of the intelligent systems developed by a country. The authors introduce a term of “index of a country specialization in the sphere of intelligent technology”. Index of specialization is a correlation of factual number of types of patents registered in the country in the sphere of intelligent technology to 10 potentially possible types of patents. These include the patents on advanced manufacturing technologies, robotics, advanced materials, artificial intelligence, big data, the Internet of things, mobility, photonics, security, and digital twins. Using a cluster method, the authors classify 43 countries by the level of innovative activity in the sphere of development of intelligent systems, on the basis of the data provided by the World Intellectual Property Organization and the European Commission in 2023. This allowed developing a classification of 11 strategies of innovative activity in the sphere of development of intelligent systems (based on the scoring assessment). The proposed strategy classification makes it possible to perform benchmarking to study the country’s experience and evaluate the investment risks for the projects in development of intelligent systems.

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The authors declare that there are no conflicts of interest present.