The PRISM method is a risk assessment approach that focuses on hidden-risk identification and ranking. The combined AHP-PRISM method was created for strategic assessments based on pairwise comparisons. The PRISM and AHP-PRISM methods have remarkable visual decision support and control functions that make them useful in practical problem solving. However, the methods can be successfully applied with the same factor weights. To eliminate this significant disadvantage and enable an in-depth analysis of the alternatives based on the ideal best and ideal worst solutions, AHP-PRISM was integrated with TOPSIS in this study. As a result, the novel AHP-TOPSIS-based PRISM method can be configured more extensively for practical decision-making problems than the previous PRISM approaches. In addition, the novel method supports the ideal best and worst analysis of the alternatives without losing its ability to focus on identifying hidden risk. The method was tested on data related to strategic incident groups of incoming logistics business processes at a nuclear power plant.
Assessing and reducing compliance risks can now be considered one of the core criteria for business success. While failure mode and effect analysis (FMEA) is widely used in engineering, its application in the financial sector is quite novel, primarily related to compliance risk assessment. This paper presents the results of exploratory research based on the potential application of FMEA in a focus group of compliance experts at one of the largest Central and Eastern European commercial banks. This study aims to establish a process for assessing compliance risks that builds on the strengths of both the qualitative and quantitative assessment methods. Applying FMEA based on a nominal group technique and further statistical analysis provides an opportunity to compare expert assessments and the consensus level of the participants. As a result, the similarity or difference of the assessment patterns can be quantified, providing objective feedback on the evaluation. Finally, this paper proposes lifting the detectability of failures as an evaluation dimension to the same level of importance as the probability and impact of non-compliance and using agreement testing statistical methods.
Risk assessment methods are a continuously developing field in research and practice. Multi-Criteria Decision-Making (MCDM) methods, like AHP (Analytic Hierarchy Process), have a significant role in traditional risk assessment development. The PRISM (Partial Risk Map) methodology is a novel risk assessment method aiming at safety and reliability-sensitive operational fields. Since the PRISM method initially applies deterministic evaluation scales just like many traditional risk assessment techniques, this research focuses on developing the PRISM method by combining it with AHP. Thus, the new AHP-PRISM method can create more sensitive rankings than the original method, and the consistency of the expert group can also be tested after the assessment. By applying the consistency test, the reliability of the assessment can be described, which is necessary for a safety culture environment. Based on a real-life case study in a nuclear power plant (NPP), the new AHP-PRISM method is tested.
A befektetők, szabályozó hatóságok, a közvélemény és egyéb külső érdekelt feleknek az átlátható működéshez kapcsolódó igényeire, elvárásaira adott újszerű válasz a compliance menedzsment, melynek célja a szabálytalan működésből eredő kockázatok csökkentése. Az írás központi kérdése, hogy miként értékelhető a compliance menedzsment tervezése, megvalósítása, mi tekinthető elért eredménynek, és a megfelelés fejlesztése hogyan járul hozzá a vállalatok gazdasági hatékonyságához. A compliance menedzsment definícióját követően az FSGO-iránymutatások, a SOX-törvény és a COSO-keretrendszer rövid ismertetése is olvasható. A vállalati önszabályozás három szakaszát lehet elkülöníteni, ezek mentén a compliance értékelés fókuszában a tervezési hatékonyság, a működési hatékonyság és az eredmények mérése áll.
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