turanВестник университета «Туран»Bulletin of "Turan" University1562-29592959-1236Университет «Туран»10.46914/1562-2959-2026-1-2-502-519turan-5607Research ArticleТРИБУНА МОЛОДОГО ИССЛЕДОВАТЕЛЯPLATFORM OF YOUNG RESEARCHERИскусственный интеллект и управление инновационным развитием предприятий: теоретико-методологический обзорArtificial intelligence and management of innovative development of enterprises: theoretical and methodological reviewhttps://orcid.org/0009-0000-3809-4661ТолеубаеваА. К.ToleubayevaA. K.

докторант 

г. Алматы

PhD student 

Almaty

a.toleubayeva@turan-edu.kzhttps://orcid.org/0000-0001-9360-8960СпыхальскиБ.BaitenovaL. M.

PhD, профессор 

г. Калиш

PhD, рrofessor

Kalisz

b.spychalski@uniwersytetkaliski.edu.plhttps://orcid.org/0009-0007-9178-2915АхметоваМ. Т.AkhmetovaM. T.

к.э.н., доцент

г. Астана

c.е.s., associate professop

Astana

magira.1968@mail.ruУниверситет «Туран»КазахстанTuran UniversityKazakhstanИнститут управления и исследований качества университета КалишПольшаInstitute of Management and Quality Studies University of KaliszPolandЕвразийский гуманитарный институт им. А.К. КусаиноваКазахстанA.K. Kussayinov Eurasian Humanities InstituteKazakhstan20261507202602502519Copyright © Толеубаева А.К., Спыхальски Б.M., Ахметова М.Т., 20262026Толеубаева А.К., Спыхальски Б., Ахметова М.Т.Toleubayeva A.K., Baitenova L.M., Akhmetova M.T.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.turan-edu.kz/jour/article/view/5607

Искусственный интеллект (ИИ) в нынешних реалиях перестает быть просто технологическим инструментом, а становится центром современных моделей управления инновациями. В Казахстане 2026 г. официально объявлен годом цифровизации и искусственного интеллекта, тем самым тема приобретает особую стратегическую значимость. Между тем существующие теоретические модели создавались для развитых рынков и не учитывают специфику переходных экономик. Цель настоящей работы – провести систематический теоретико-методологический обзор международной научной литературы на пересечении ИИ и управления инновационным развитием предприятий с фокусом на применимости глобальных подходов к контексту Казахстана. В работе анализируются шесть теоретических линз: ресурсный подход, динамические способности, теория диффузии инноваций, фреймворк TOE, институциональная перспектива и модели цифровой зрелости. Обзор охватывает публикации 1983–2026 гг. из баз Scopus, Web of Science и региональных изданий. Выявлен теоретический разрыв между постулатами глобальных моделей о децентрализующем эффекте ИИ и феноменом «цифрового централизма» в Казахстане. На основе критического анализа предложена исследовательская рамка «Ресурсы ИИ – динамические способности – институциональный фильтр – результаты инновационной деятельности», впервые напрямую учитывающая институциональный контекст переходной экономики. Сформулированы шесть проверяемых гипотез для последующих эмпирических исследований на выборке казахстанских предприятий. Результаты представляют интерес для исследователей инновационного менеджмента, разработчиков политики в сфере цифровой трансформации и менеджмента предприятий Казахстана.

Artificial intelligence (AI) in today’s reality is no longer merely a technological tool – it is becoming the centerpiece of modern innovation management models. In Kazakhstan, 2026 has been officially declared the Year of Digitalization and Artificial Intelligence, lending the topic particular strategic significance. Meanwhile, existing theoretical models were developed for advanced markets and do not account for the specificities of transition economies. The purpose of this study is to conduct a systematic theoretical and methodological review of the international scholarly literature at the intersection of AI and enterprise innovation management, with a focus on the applicability of global approaches to the Kazakhstani context. The paper analyzes six theoretical lenses: the resource-based view, dynamic capabilities, diffusion of innovations theory, the TOE framework, the institutional perspective, and digital maturity models. The review covers publications from 1983 to 2026 retrieved from Scopus, Web of Science, and regional journals. A theoretical gap is identified between global models’ postulates about the decentralizing effect of AI and the phenomenon of “digital centralism” in Kazakhstan. Based on critical analysis, a research framework – “AI Resources – Dynamic Capabilities – Institutional Filter – Innovation Outcomes” – is proposed, which for the first time directly incorporates the institutional context of a transition economy. Six testable hypotheses are formulated for subsequent empirical research on a sample of Kazakhstani enterprises. The findings are of interest to innovation management researchers, digital transformation policymakers, and enterprise management in Kazakhstan.

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