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Showing 3 results for Ibrahim
Estimation of Parameters of the Power-Law-Non-Homogenous Poisson Process in the Case of Exact Failures Data
Mahdi Karbasian, Zoubi Ibrahim,
Volume 21, Issue 2 (IJIEPR 2010)
Abstract

  This expository article shows how the maximum likelihood estimation method and the Newton-Raphson algorithm can be used to estimate the parameters of the power-law Poisson process model used to analyze data from repairable systems .


Pollution Haven in Goods and Services Trade: Evidence from ECOWAS Member Countries
Kabiru Hannafi Ibrahim, Rossanto Dwi Handoyo, Abdul-Azeez Sani Baraya, Nur Istifadah,
Volume 36, Issue 4 (IJIEPR- Special Issue 2025)
Abstract
Studies on trade and environmental pollution have explored the issue of pollution haven in goods and aggregate trade, but not in services. This study is therefore imperative, as it aims to examine the phenomenon of pollution haven in goods and services trade within the ECOWAS trading bloc from 2000 to 2023. The study examined whether developed countries have gained an advantage from open trade and transferred their polluting activities to ECOWAS member states. The study utilised panel data that comprised 15 member countries. Static and dynamic techniques of analysis were applied. Based on the theories underlying the analytical model, the results indicate that a rise in goods trade increases emissions. At the same time, services trade reduces emissions. The premise that trade shifts industry composition toward dirtier production is also supported. However, ECOWAS countries are exploring comparative advantages in labour-intensive industries that reduce pollution. Energy consumption exacerbates emissions, and trade in goods and services may bring energy-efficient technologies that lower pollution. ECOWAS countries are pollution haven in goods trade but not in services; that is, advanced economies use goods trade openness and transfer their pollution to the sub-region. These findings are further validated using other measures of pollution (GHG and PM2.5), enhancing the credibility and reliability of the research. Based on the study results, we provided policy implications to guide policymakers.

Integrated Multi-Criteria Decision Making Methods in Risk Management: A Systematic Literature Review and Framework Development
Muhammad Faisal Ibrahim, Imam Santoso, Siti Asmaul Mustaniroh, Retno Astuti,
Volume 37, Issue 1 (IJIEPR 2026)
Abstract
This study systematically reviews the application of Multi-Criteria Decision-Making (MCDM) methods in risk management, aiming to map their use to the ISO 31000:2018 framework and consolidate fragmented literature into a structured synthesis. More than 3,000 studies were screened using a PRISMA-based methodology, and 104 were analyzed in depth to examine how MCDM methods support different stages of the risk management process. The findings reveal hybrid MCDM approaches significantly enhance decision-making effectiveness across multiple stages. The most frequently applied methods are the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), often combined for risk prioritization and mitigation strategy selection. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) also effectively analyzes interdependencies between risk factors and mitigation strategies. Nonetheless, challenges such as expert judgment subjectivity and the complexity of integrating multiple techniques remain critical issues. Building on these insights, the study proposes a six-stage conceptual framework that integrates MCDM techniques across risk identification, analysis, evaluation, and treatment. The key contribution lies in providing a unified, adaptive, and data-driven framework that enhances comparative understanding and strengthens structured risk management practices across industries.

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