Artificial intelligence technologies in the management of higher education institutions: a scoping review

Tutko, Marta Maria

doi:10.21008/j.0239-9415.2025.091.11

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Artificial intelligence technologies in the management of higher education institutions: a scoping review

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Tutko Marta Maria

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DOI

10.21008/j.0239-9415.2025.091.11

Warianty tytułu

Technologie sztucznej inteligencji w zarządzaniu instytucjami szkolnictwa wyższego: przegląd zakresu literatury

Języki publikacji

Abstrakty

The development of artificial intelligence (AI) technologies has brought unprecedented challenges and opportunities for higher education institutions (HEI). The possibilities of using AI technologies in specific areas of HEIs management need to be explored to keep up with the ongoing dynamic changes. For this reason, the objective of this study is to identify management levels and management subdisciplines in HEIs at which AI technologies are used. To achieve this aim, the scoping review method was chosen. Web of Science and Scopus databases were used to identify documents published 1992-2025, from which 11 publications were considered eligible for the review. Research shows that HEIs apply diverse AI technologies (e.g. machine learning, expert systems, chatbots). HEIs also utilize AI technologies at the operational level of management in the subdisciplines of quality management, knowledge management, and managerial decision support. In the case of functional level of management, human resources management and financial management and managerial accounting subdisciplines are mentioned in the sources. However, the findings also reveal that AI technologies are implemented in less than half of the identified subdisciplines. This suggests a limited and uneven adoption of AI technologies. Strikingly, the strategic level of management remains entirely absent from the reviewed literature. This gap might suggest that AI technologies are often deployed in a compartmentalized manner, rather than as part of an integrated institutional strategy. To fully harness AI’s transformative potential, HEIs should adopt a holistic approach that embeds AI technologies across all levels of management, namely strategic, operational, and functional.

Rozwój technologii sztucznej inteligencji (SI) niesie ze sobą bezprecedensowe wyzwania, ale i liczne możliwości dla instytucji szkolnictwa wyższego (ISW). Aby nadążyć za dynamicznymi zmianami, konieczne jest systematyczne badanie potencjału zastosowania SI w różnych obszarach zarządzania uczelniami. Celem niniejszego badania jest identyfikacja poziomów oraz subdyscyplin zarządzania, w których technologie SI znajdują zastosowanie w szkołach wyższych. W celu realizacji tego założenia przyjęto metodę przeglądu zakresu literatury. Analizie poddano publikacje dostępne w bazach danych Web of Science i Scopus obejmujące lata 1992-2025. Do ostatecznego przeglądu zakwalifikowano 11 artykułów. Wyniki badania pokazują, że uczelnie stosują różnorodne technologie SI – takie jak uczenie maszynowe, systemy eksperckie czy chatboty – przede wszystkim na operacyjnym poziomie zarządzania, w subdyscyplinach takich jak zarządzanie jakością, zarządzanie wiedzą oraz wspomaganie decyzji kierowniczych. Na funkcjonalnym poziomie zarządzania najczęściej wykorzystywane są w subdyscyplinach zarządzania zasobami ludzkimi, zarządzania finansami i rachunkowości menedżerskiej. Wyniki wskazują, że technologie SI są stosowane w mniej niż połowie zidentyfikowanych subdyscyplin zarządzania. Świadczy to o ograniczonym i nierównomiernym wdrażaniu tych rozwiązań, a wiele potencjalnych obszarów nadal pozostaje niedostatecznie zbadanych. Co istotne, strategiczny poziom zarządzania nie pojawia się w żadnym z analizowanych dokumentów. Może to sugerować, że wdrożenia SI są często incydentalne i nieskoordynowane, zamiast stanowić element spójnej strategii instytucjonalnej. Aby w pełni wykorzystać transformacyjny potencjał sztucznej inteligencji, uczelnie wyższe powinny przyjąć holistyczne podejście obejmujące wszystkie poziomy zarządzania – strategiczny, operacyjny i funkcjonalny.

Słowa kluczowe

management scoping review higher education institution AI artificial intelligence AI technologies

zarządzanie uczelnia sztuczna inteligencja AI instytucja szkolnictwa wyższego przegląd zakresu literatury technologie AI

Wydawca

Wydawnictwo Politechniki Poznańskiej

Czasopismo

Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie

Rocznik

2025

Tom

Nr 91

Strony

205--222

Opis fizyczny

Bibliogr. 43 poz., rys., tab.

Twórcy

autor

Tutko Marta Maria

Jagiellonian University, Faculty of Management and Social Communication

https://orcid.org/0000-0002-8359-8081

Bibliografia

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28. Peters, M.D.J., Marnie, C., Colquhoun, H., Garritty, C.M., Hempel, S., Horsley, T., Langlois, E.V., Lillie, K., O’Brien, K.K., Tunçalp, Ӧ., Wilson, M.G., Zarin, W., Tricco, A.C. (2021). Scoping reviews: reinforcing and advancing the methodology and application. Systematic Reviews, 10(263).
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Bibliografia

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