Artificial intelligence and business development: bibliometric analysis of scientific trends

2026

Полный текст Открытый доступ: Gold Метаданные (CSL-JSON)
DOI 10.46914/1562-2959-2026-1-2-161-172
Достоверность данных 70 средняя
Как считается эта оценка

Складывается из проверяемых признаков самой записи: есть ли у статьи DOI, сколько независимых источников подтвердили её данные, заполнены ли обязательные поля и насколько свежо последнее подтверждение. Снижают оценку расхождения между источниками и отсутствие идентификатора. Значение от 80 означает, что запись опубликована без дополнительной проверки; от 60 до 79 — что она опубликована с пониженной достоверностью и ручная проверка желательна. Запись, выверенную редактором вручную, пересчёт не опускает ниже 90. Это оценка наших данных о статье, а не оценка самой статьи.

Аннотация

In the era of digitalization, business development is taking on a new form, where the involvement of artificial intelligence is inevitable. This article explores the relationship between artificial intelligence and business development. The purpose of the article is to conduct a bibliometric analysis of the interaction between artificial intelligence and business development. The research methodology is based on a bibliometric analysis of the Scopus database for the period from 2008 to January 2026 to identify trends in business development in artificial intelligence. The results show that the number of publications during the analyzed period increased from 8 to 1026, and the coverage by branches of science is multidisciplinary. In addition, it was shown that the popularity of the topic is characterized not only by an increase in the number of publications, but also by a high level of citations and the high activity of authors in the field of research. As a result of the analysis, four scientific trends were identified (AI and the industrial sector, Digital business platforms, chatbots and e-commerce, Strategic Business Management), which will serve as the basis for conceptualizing business development in the era of digitalization. The theoretical significance of the study lies in identifying major research trends and documenting the evolution of scientific interest in the relationship between artificial intelligence and business. The practical significance of this study lies in its conclusions and results, which can be helpful to business owners and government agencies developing programs to advance digitalization and business development.