322 KB0 KB2026Lutar, AjšaSternad Zabukovšek, Simonaštevilka:3letnik:72str. 113-136DOI:10.2478/ngoe-2026-0018ISSN:2385-8052COBISSID_HOST:292758531URN:URN:NBN:SI:doc-IPZCD1OFenEkonomsko-poslovna fakultetaNaše gospodarstvoanalitično podprto preprečevanje pranja denarjaanalytics-driven AMLanti-money laundering (AML)business analyticsbusiness process management (BPM)digital transformationdigitalna preobrazbaorganisational analytical capabilitiesorganizacijske analitične zmogljivostiposlovna analitikapreprečevanje pranja denarja (AML)upravljanje poslovnih procesov (BPM)zrelost kibernetskih zmogljivostiDigital transformation of anti-money laundering business processes| a capability-oriented perspective on analytics-driven AML|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 transformationTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Ekonomsko-poslovna fakulteta