Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal ETIKONOMI International Journal of Supply Chain Management
Islam, Ariful
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Risk, Liquidity, and Performance: Evidence from the Commercial Banks in Bangladesh Bhowmik, Probir Kumar; Islam, Ariful
ETIKONOMI Vol. 24 No. 2 (2025)
Publisher : Faculty of Economic and Business, Universitas Islam Negeri Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v24i2.39787

Abstract

Research Originality: This study examines the interplay between bank risk, liquidity, and profitability in Bangladesh's banking sector. Using a fresh approach, it shows their combined impact on stability and growth in emerging markets. It provides practical insights for banks to effectively manage these factors and achieve long-term resilience. Research Objectives: The study aims to investigate the interconnected influence of non-performing loan ratios and liquidity levels on profitability, and to analyze the effects of total asset growth, loan growth, and cost-to-income ratios on these dynamics. Research Methods: The study used a panel dataset of 31 listed commercial banks from 2012 to 2022. Ordinary Least Squares (OLS) regression was primarily employed, followed by Prais–Winsten regression with corrected standard errors (PCSEs) for correlated panels to validate the findings. Empirical Result: The research indicates that liquidity (LIQ) has a positive impact on profitability, with the net interest margin (NIM) being significantly influenced by non-performing loans. The control variable, SIZE, also showed statistical significance in performance. Implications: This study highlights the significance of asset quality, liquidity management, loan composition, and operational efficiency in determining bank profitability, providing valuable insights for bank managers and policymakers in emerging economies seeking to enhance their financial performance. JEL Classification: C33, G21, G32, C58
An Empirical Analysis of Delivery Delays in Supply Chain Management Using Business Intelligence Techniques Islam, Ariful; Rahman, Fahim; Akhir, Al; Miah, Maksud; Hossain, Md Foysal; Habibullah, S M; Arif, Md Jahedul Islam
International Journal of Supply Chain Management Vol 15, No 1 (2026): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v15i1.6380

Abstract

Delivery reliability remains a critical determinant of competitiveness in modern supply chains. Despite technological advancements, many organizations continue to experience delays caused by operational and logistics-related inefficiencies. This study investigates the key operational and transportation factors influencing delivery delays using business intelligence and data-driven analytical techniques applied to secondary supply chain data. The research integrates regression modeling, clustering analysis, and mode-based performance evaluation to examine how lead time components and transportation modes jointly affect delivery reliability. The findings demonstrate that delivery delays emerge from systemic interactions among processing, shipment, and coordination phases rather than from isolated bottlenecks. Furthermore, distinct delivery- performance profiles highlight the importance of risk- based order segmentation and mode-specific logistics strategies. The study contributes to the supply chain literature by proposing an integrated analytical framework that combines business intelligence tools with operational modeling to enhance delivery performance management. The results provide actionable insights for managers seeking to improve reliability, optimize lead-time structures, and implement data-driven decision support systems in global supply chain environments.
Co-Authors Akhir, Al Arif, Md Jahedul Islam Bhowmik, Probir Kumar Habibullah, S M Hossain, Md Foysal Miah, Maksud Rahman, Fahim