001448387 000__ 03191cam\a2200505\i\4500
001448387 001__ 1448387
001448387 003__ OCoLC
001448387 005__ 20230310004236.0
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001448387 008__ 220726s2022\\\\sz\a\\\\o\\\\\000\0\eng\d
001448387 019__ $$a1336536461$$a1336991109
001448387 020__ $$a9783031075087$$q(electronic bk.)
001448387 020__ $$a3031075080$$q(electronic bk.)
001448387 020__ $$z9783031075070
001448387 020__ $$z3031075072
001448387 0247_ $$a10.1007/978-3-031-07508-7$$2doi
001448387 035__ $$aSP(OCoLC)1337160832
001448387 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dN$T$$dOCLCQ
001448387 049__ $$aISEA
001448387 050_4 $$aHV6768
001448387 08204 $$a364.16/8$$223/eng/20220726
001448387 1001_ $$aBearpark, Noémi També,$$eauthor.
001448387 24510 $$aDeconstructing money laundering risk :$$bde-risking, the risk-based approach and risk communication /$$cNoémi També Bearpark.
001448387 264_1 $$aCham :$$bSpringer,$$c2022.
001448387 300__ $$a1 online resource :$$billustrations (black and white, and color).
001448387 336__ $$atext$$btxt$$2rdacontent
001448387 337__ $$acomputer$$bc$$2rdamedia
001448387 338__ $$aonline resource$$bcr$$2rdacarrier
001448387 4901_ $$aCSR, sustainability, ethics & governance
001448387 5050_ $$aChapter 1. Introduction to Anti-Money Laundering -- Chapter 2. Risk and Luhmanns Systems Theory -- Chapter 3. Case Studies and Empirical Findings -- Chapter 4. Analysis and Discussion -- Chapter 5. Conclusion.
001448387 506__ $$aAccess limited to authorized users.
001448387 520__ $$aThis book examines the interpretation of the risk-based approach (RBA) and its application across the banking industry. It explores the ways conflicting risk interpretation and deconstruction of money laundering risk have unintended consequences across the banking industry. Furthermore, it offers a theoretical framework that can be adopted and implemented by risk practitioners to address money laundering (ML) risks. The interpretation and application of the RBA influences the way money laundering risk is perceived, presented, and managed, often resulting in misalignment among stakeholders. Moreover, AML practitioners interpret money laundering (ML) risk as an entity that can be contained, largely in ignorance of the fact that ML risk is self-referential. The book therefore addresses complex inter-system feedback phenomena that lead to de-risking and re-risking, and offers a new ML risk communication framework on this basis. It will be of value to researchers and also to stakeholders within financial institutions, financial intelligence units and regulators in the fight against money laundering.
001448387 588__ $$aDescription based on print version record.
001448387 650_0 $$aMoney laundering$$xPrevention.
001448387 650_0 $$aRisk management.
001448387 655_0 $$aElectronic books.
001448387 77608 $$iPrint version:$$aBearpark, Noémi També.$$tDeconstructing money laundering risk.$$dCham : Springer, 2022$$z9783031075070$$w(OCoLC)1334130849
001448387 830_0 $$aCSR, sustainability, ethics & governance.
001448387 852__ $$bebk
001448387 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07508-7$$zOnline Access$$91397441.1
001448387 909CO $$ooai:library.usi.edu:1448387$$pGLOBAL_SET
001448387 980__ $$aBIB
001448387 980__ $$aEBOOK
001448387 982__ $$aEbook
001448387 983__ $$aOnline
001448387 994__ $$a92$$bISE