Adoption and integration of AI in organizations: a systematic review of challenges and drivers towards future directions of research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F25%3AN0000017" target="_blank" >RIV/04130081:_____/25:N0000017 - isvavai.cz</a>
Result on the web
<a href="https://www.emerald.com/k/article/55/3/1286/1259501/Adoption-and-integration-of-AI-in-organizations-a" target="_blank" >https://www.emerald.com/k/article/55/3/1286/1259501/Adoption-and-integration-of-AI-in-organizations-a</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1108/K-07-2024-2002" target="_blank" >10.1108/K-07-2024-2002</a>
Alternative languages
Result language
angličtina
Original language name
Adoption and integration of AI in organizations: a systematic review of challenges and drivers towards future directions of research
Original language description
Purpose: This study aims to detail the current enablers and challenges of AI applications in organizations and highlight ways to overcome these challenges to realize the potential of this emerging technology. Design/methodology/approach: The paper provides a brief history of AI. Then it maps the state of the art, consolidates the heterogeneous corpus of knowledge, investigates the current impacts of AI technology on organizations and provides insights into possible challenges associated with this technology through a systematic review of the literature conducted with the PRISMA method and thematic analysis. Findings: The research findings offer an overview of the most popular AI techniques within organizations, outlining their value-creation mechanisms. The results shed light on different topics related to enablers and challenges, emphasizing the potential implications of AI within organizations. Research limitations/implications: The analysis proposes a research agenda to guide future AI research, considering identified trends and challenges. Originality/value: This study highlights the need for multidisciplinary research, collaboration and ongoing assessment to ensure that AI applications align with organizational values and goals. It provides a meaningful framework for researchers and practitioners to understand and exploit AI as an effective enabler of value creation within organizations.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
KYBERNETES
ISSN
0368-492X
e-ISSN
1758-7883
Volume of the periodical
55
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
1286-1307
UT code for WoS article
001469130900001
EID of the result in the Scopus database
2-s2.0-105002706351