Integrating Financial Management with Intelligent Technologies: Financial Services Companies Case Study

Mariya Khmelyarchuk and Raghad Abohamdan

European Research Studies Journal, 2025, vol. XXVIII, issue 4, 808-827

Abstract: Purpose: The goal of the research is to investigate the role of intelligent technologies, including Artificial Intelligence, Machine Learning, and Big Data analytics, in enhancing financial management practices within banking and non-banking institutions. The study aims to identify how technology adoption influences operational and economic efficiency, financial stability and resilience, competitiveness, and strategic decision-making, while also addressing the challenges of digital transformation in the financial services sector. Design/Methodology/Approach: The research methodology is based on a case study approach that analyzes the integration of intelligent technologies into financial management practices in digital-only, traditional, and hybrid financial institutions. The case study integrates qualitative insights from interviews and structured questionnaires with quantitative assessments of financial performance indicators. To evaluate the research results and to provide a comprehensive perspective on the impact of intelligent technologies on the effectiveness of financial management practices, SWOT analysis and weighted evaluation models were applied. Findings: The findings suggest that intelligent technologies enhance financial management through optimized operational efficiency, economic performance and financial stability, increased customer base and competitiveness, improved risk management, inclusivity and institutional resilience. Digital-only financial institutions demonstrate rapid innovation and strong customer engagement, while traditional maintain stability through a focus on customer satisfaction with comprehensive service offerings and their trust, but with relatively slower technology adoption. Hybrid models leverage the combination of physical and digital channels to strengthen service delivery and expand presence on regional financial markets. Challenges related to cybersecurity and regulatory changes, increasing competition from agile fintech companies, investment requirements in innovative technologies and workforce training, highlight the importance of adaptive strategies to digitally driven global financial market. Practical Implications: The research results demonstrate that strategic integration of intelligent technologies can improve operational efficiency, financial resilience, customer satisfaction,, while also supporting financial inclusion. Financial institutions that effectively adopt AI and analytics are better equipped to respond to market dynamics, enhance competitiveness, and sustain long-term growth. Key enablers include investment in technology and talent, regulatory monitoring, and fostering an innovation-driven culture. Originality/Value: The study demonstrates that intelligent technologies are critical for modern financial management and competitive positioning. By comparing digital, traditional, and hybrid institutions, the research provides practical and theoretical insights into how technology adoption reshapes financial performance, strategic decision-making, and customer engagement, offering guidance for institutions navigating digital transformation.

Keywords: Financial management; financial companies; financial stability; competitiveness; Artificial Intelligence; Intelligent Technologies; Fintech; Machine Learning; Chatbots. (search for similar items in EconPapers)
JEL-codes: C83 G21 G32 O33 (search for similar items in EconPapers)
Date: 2025
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