| Title: | Digital transformation of anti-money laundering business processes : a capability-oriented perspective on analytics-driven AML |
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| Authors: | ID Lutar, Ajša (Author)
ID Sternad Zabukovšek, Simona (Author) |
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| Files: |  https://journals.um.si/index.php/oe/sl/article/view/6389
Description: Prost dostop
 RAZ_Lutar_Ajsa_2026.pdf (370,32 KB)
MD5: DD9C2FC87C02FDE506B5E11E1352F9D2
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | EPF - Faculty of Business and Economics
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| Abstract: | Anti-money laundering (AML) is becoming an increasingly information-intensive business process requiring advanced analytical support for effective organisational decision-making. Although previous research has extensively investigated machine learning, graph analytics, and other analytical methods, existing studies largely examine these approaches as isolated technological solutions. This conceptual study adopts a business process perspective. It develops a capability-oriented framework for analytics-driven AML by synthesizing digital transformation, business process management, business analytics, and AML literature. This perspective conceptualises the digital transformation of AML as the coordinated development of interconnected organisational analytical capabilities embedded within business processes. The study contributes by integrating previously fragmented research streams into a coherent, management-oriented perspective. It provides a conceptual foundation for future empirical research and practical guidance for financial institutions pursuing analytics-driven AML transformation. |
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| Keywords: | anti-money laundering (AML), digital transformation, business process management (BPM), business analytics, organisational analytical capabilities, analytics-driven AML |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 28.09.2026 |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 113-136 |
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| Numbering: | Vol. 72, no. 3 |
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| PID: | 20.500.12556/DKUM-100610  |
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| UDC: | 336.7:004.9 |
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| ISSN on article: | 2385-8052 |
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| COBISS.SI-ID: | 292758531 |
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| DOI: | 10.2478/ngoe-2026-0018 |
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| Publication date in DKUM: | 28.09.2026 |
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| Views: | 8 |
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| Downloads: | 0 |
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| Categories: | Document is not linked to any category. |
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