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Are computerised profiling tools effective in support of AML procedures as required by MLROs and compliance officers in a banking sector context? An inquiry into determining effectiveness despite ambiguity.

机译:计算机化的分析工具是否有效支持mLRO和银行业背景下的合规官员所要求的反洗钱程序?尽管含糊不清,但要确定有效性的调查。

摘要

This dissertation aims to contribute to the emerging field of automated behavioural profiling tools/technology (AMLPT) as applied to anti-money laundering (AML) and fraud detection. We research the effectiveness of the use of profiling technology within the context of compliance Organisations located in large and mediumsized retail and commercial banks within the City of London. The phenomena of profiling and money laundering are quite complex. Subsequently, their study encompasses several academic disciplines: language use, artificial intelligence, categorisation, and the managerial domains of organisational behaviour, networking, and innovation. Using an interpretivist approach, we examine the AMLPT artefact's effectiveness through the use of Rogers' Diffusion of Innovation (Dol) theory, utilising a pluralist methodology that encompasses two case studies for contextual understanding of the domain and survey-based field work. In furthering our understanding of innovation within organisations, we utilise Organisational Effectiveness (OE) theory to provide an analytical framework for the fieldwork and measurement methodology. The proliferation of AMLPT raises a variety of issues arguably more important than market share and technical functionality, particularly such issues as data privacy and the potential for the egregious use of personal or proprietary information (Schwartau 1994; Jennings and Fena 2000; Lyon 2003). Furthermore, what was once perceived as "normal" identity management, data security and data privacy practice may no longer be acceptable in the application of next generation AMLPT in risk-aversive, highly sensitive global financial contexts. Moreover, are the cost and Organisational demands inherent in deploying AMLPT proportionate to the desired result (Bisantz and Ockerman 2002; Vavpotic and Bajec 2009). In understanding the effectiveness of AMLPT, we look beyond the traditional methods of information systems evaluation, and draw on other IS reference disciplines such as IS success and user competence, along with a variety of Organisational effectiveness measures, and their applicability in further defining effectiveness through measures of innovativeness. Critically, we look to examine innovation in an Organisational context, rather than the more traditional domain of individual innovation, the core construct of Rogers' original (1962) work on diffusion.
机译:本文旨在为自动行为分析工具/技术(AMLPT)的新兴领域做出贡献,该技术应用于反洗钱(AML)和欺诈检测。我们在合规性背景下研究使用配置文件技术的有效性。位于伦敦市内的大中型零售和商业银行中的组织。分析和洗钱现象相当复杂。随后,他们的研究涵盖了多个学科:语言使用,人工智能,分类以及组织行为,网络和创新的管理领域。我们采用解释论方法,通过使用罗杰斯的创新扩散理论(Dol)来研究AMLPT人工制品的有效性,该方法采用的多元论方法包括两个案例研究,以便对领域和基于调查的现场工作进行背景理解。在加深我们对组织内部创新的理解时,我们利用组织有效性(OE)理论为实地调查和度量方法提供了一个分析框架。 AMLPT的泛滥提出了比市场份额和技术功能更重要的各种问题,特别是诸如数据隐私和过分使用个人或专有信息的潜力等问题(Schwartau 1994; Jennings和Fena 2000; Lyon 2003)。此外,曾经被视为“常规”身份管理,数据安全和数据隐私惯例的做法在下一代AMLPT在风险分散,高度敏感的全球金融环境中的应用中可能不再被接受。此外,部署AMLPT所固有的成本和组织要求是否与期望的结果成比例(Bisantz和Ockerman,2002; Vavpotic和Bajec,2009)。在理解AMLPT的有效性时,我们超越了信息系统评估的传统方法,并借鉴了其他IS参考学科(例如IS成功和用户能力)以及各种组织有效性措施,以及它们在通过以下方式进一步定义有效性中的适用性创新措施。批判性地,我们希望在组织的背景下研究创新,而不是罗杰斯(1962)最初关于扩散的核心结构,而不是更传统的个人创新领域。

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    Wasel Jeffrey J;

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  • 年度 2010
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