Implementation of Artificial Intelligence, Automation and Robotization in Financial Business Centers

Background: Artificial intelligence (AI), automation, and robotization are transforming financial business centers globally, but research on their implementation in Slovakia remains limited. Aim: This study investigates how AI, automation, and robotization are implemented in Slovak financial business centers and evaluates their impact on competitiveness. Methods: A qualitative multiple case study was conducted, including interviews with representatives from four Slovak financial business centers and detailed case analyses. Results: All centers have integrated AI, automation, and robotization into various business processes, with differing levels of maturity. These technologies enhance operational efficiency and competitive performance. Recommendations: Organizations should accelerate technology adoption, invest in employee upskilling, and strengthen collaboration with academic institutions to address implementation challenges. Further research could expand the study to additional centers in the CEE region. Practical relevance/Social implications: Findings support strategic decision-making in Slovak and Central European financial centers, promoting competitiveness, efficiency, and sustainable development. Originality/Value: This is the first in-depth study of AI, automation, and robotization implementation in Slovak financial business centers, filling a regional research gap and providing actionable guidance for managers and policymakers.

Authors

Publication Details

Journal
ACTA VŠFS
Published
2025-12-30
DOI
https://doi.org/10.37355/acta-2025/2-03
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Implementation of Artificial Intelligence, Automation and Robotization in Financial Business Centers

Sonia Ferenčíková, Dagmar Váleková
ACTA VŠFS
Robotic Process Automation Applications
article

Implementation of Artificial Intelligence, Automation and Robotization in Financial Business Centers

Sonia Ferenčíková, Dagmar Váleková
article en

Abstract

Background: Artificial intelligence (AI), automation, and robotization are transforming financial business centers globally, but research on their implementation in Slovakia remains limited. Aim: This study investigates how AI, automation, and robotization are implemented in Slovak financial business centers and evaluates their impact on competitiveness. Methods: A qualitative multiple case study was conducted, including interviews with representatives from four Slovak financial business centers and detailed case analyses. Results: All centers have integrated AI, automation, and robotization into various business processes, with differing levels of maturity. These technologies enhance operational efficiency and competitive performance. Recommendations: Organizations should accelerate technology adoption, invest in employee upskilling, and strengthen collaboration with academic institutions to address implementation challenges. Further research could expand the study to additional centers in the CEE region. Practical relevance/Social implications: Findings support strategic decision-making in Slovak and Central European financial centers, promoting competitiveness, efficiency, and sustainable development. Originality/Value: This is the first in-depth study of AI, automation, and robotization implementation in Slovak financial business centers, filling a regional research gap and providing actionable guidance for managers and policymakers.

ACTA VŠFSVol. 19(2)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 29%
Robotic Process Automation Applications
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Implementation of Artificial Intelligence, Automation and Robotization in Financial Business Centers — Sonia Ferenčíková, Dagmar Váleková · ACTA VŠFS (2025) | TGRS Research Map | TGRS