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161 results for “Risk Management”
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Research ArticleOpen accessPhrase in the titleOptimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk ManagementFatima Ezzahra Ettahiri, Mina El Maallam, Hicham Bensaid, Mahmoud NassarMaturity models contribute considerably to the continuous improvement of the various business processes. However, the most important challenge for these tools after assessing maturity is how to define effective and efficient improvement plans especially in the case of an organization having multiple Information Systems (IS). This study presents an algorithm for optimizing the deployment of the overall maturity improvement plan … …Journal of Computer Science, Vol. 18, Issue 3 · 20 Mar 2022 · 6,505 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleComparative Analysis of Risk Management Strategies for Additive Manufacturing Supply ChainsBandar Altubaishe, Jahlani Clarke, Christina McWilliams, Salil DesaiSupplier selection is an important strategic decision to be made in additive manufacturing supply chains. This paper presents a hybrid Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) algorithms-based Failure Mode and Effects Analysis (FMEA) for supplier selection in a risk-based environment. Our approach is contrasted with an FMEA based on a Fuzzy Analytic Hierarchy Process (FAHP) … …American Journal of Applied Sciences, Vol. 16, Issue 8 · 17 Oct 2019 · 8,581 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Algorithm To Determine The Maturity Improvement Plan For Information System Risk Management. Application On A Case StudySoumaya Amraoui, Mina Elmaallam, Hicham BensaidA good and relevant Risk Management process is a key issue when Information System effective governance is concerned. Therefore, several paradigms have been devised to help achieving such goal. Among these paradigms, maturity models are quite popular. The main aim of a maturity model is to help users improve their activities capability. However, one of the major challenges encountered when … …Journal of Computer Science, Vol. 15, Issue 8 · 1 Aug 2019 · 7,636 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleGlobal Supply Chain Risk ManagementMouad Ben-Faress, Abdelmajid Elouadi, Driss GreteteToday’s global supply chain structure and organizations are characterized by high physical volume variation, information and financial flow exchanges with several amount of data from supplier to the final customer, as a consequence of Market changes and customer behavior impacting the supply chain and its different actors. As part of a systematic approach we will start our research by studying … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 8 Apr 2019 · 7,649 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleExploring the Inadequacy of Pertinent Capacities for Urban Flood Risk Management in the Developing CountriesNkwunonwo Ugonna Chimnonyerem, Chiemelu Emmanuel Ndukwe, Nkwunonwo Ugochi AdannayaOf all the widespread natural hazards with large scale human, economic and environmental impacts, flooding surpasses. In the urban areas, the threats of this hazard are substantial and call for ever more attention, which, within the contexts of sustainable human and urban development, is increasingly an important problem in social science research. Urban flooding is a relatively new hazard phenomenon, … …Journal of Social Sciences, Vol. 12, Issue 3 · 18 Aug 2016 · 7,828 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOptimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into AccountAzmi Saleh, Takao Tsuji, Tsutomu OyamaProblem statement: In a competitive electricity market with limited number of producers, Generation Companies (Gencos) is facing an oligopoly market rather than a perfect competition. Under oligopoly market environment, each Genco may increase its own profit through a favorable bidding strategy. The objective of a Genco is to maximize its profit and minimize the associated risk. In order to achieve … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,233 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEarthquake Risk Management Strategy Plan Using Nonparametric Estimation of Hazard RateAflaton Amiri, Ramin TabatabaeiEarthquake risk is defined as the product of hazard and vulnerability studies. The main aims of earthquake risk management are to make plans and apply those for reducing human losses and protect properties from earthquake hazards. Natural risk managers are studying to identify and manage the risk from an earthquake for highly populated urban areas. They want to put some … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,744 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStochastically Simulating Low Morale - A Risk Factor Effect on Risk ManagementP. K.A. Suri, Rachna SoniOne of the proposed purposes for software process simulation is the management of software development risks, usually discussed within the category of project planning and management. However, modeling and simulation primarily for the purpose of software development risk management has not been explored and is quite limited. This study describes an approach to simulate Low Morale - a risk factor, … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,950 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,130 accessesView PDFCite