Research ArticleOpen accessIn the keywordsTHE ROLE OF FINANCIAL INSTRUMENTS ON THE GROWTH OF ITALIAN SOCIAL COOPERATIVESFrancesco Agliata, Caterina Ferrone, Danilo TuccilloThe Third Sector in Italy records a slow but constant growth due to the increase of the number of entities but not of their dimension. The difficulties in financial management, generated by a low attraction of debt and equity financial resources and a low level of managerial skills characterized the non profit organizations. Focused on the social cooperatives, the article … …American Journal of Economics and Business Administration, Vol. 6, Issue 1 · 5 May 2014 · 8,925 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBanking Efficiency in Lebanon: An Empirical InvestigationMouataz Zreika, Nasser ElkanjProblem statement: The main goal behind this study is to identify whether banks are working at full efficiency or not and spot the changes in efficiency for banks operating in Lebanon after 2007 financial crisis. Approach: This study was conducted to examine the technical efficiency of 40 banks operating in Lebanon over the two sub-periods 2002-2006 and 2006-2009 using Data … …Journal of Social Sciences, Vol. 7, Issue 2 · 12 Feb 2011 · 8,297 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Foreign Ownership on Firm Performance, Evidence from an Emerging Market: TurkeyAli Osman Gurbuz, Asli AybarsProblem statement: The inflows of foreign direct investment are important sources of finance for developing countries. Due to the increase in the amount of the international flows of capital over the last three decades, the issue of the possible impact of foreign direct investment on the performance of corporations and thus the economy has gained increased attention. The purpose of … …American Journal of Economics and Business Administration, Vol. 2, Issue 4 · 28 Nov 2010 · 15,819 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTOMATO PROCESSING FIRMS’ MANAGEMENT: A COMPARATIVE APPLICATION OF ECONOMIC AND FINANCIAL ANALYSESMattia Iotti, Giuseppe BonazziIn Italy, the territory that includes the Emilia-Romagna region, the southern areas of Lombardia and some of Piemonte’s territory is a center of national importance for tomato production and transformation. The processing firms operating in this area are characterized by significant investments in fixed assets and working capital. The article analyzes the annual account data of a sample of firms, … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 28 Apr 2014 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDairy Heifer Rearing in Hot Arid Zone: An Economic AssessmentM. A. Razzaque, S. A. Mohammed, T. Al-MutawaProblem statement: Economic losses due to high mortality in young calves born in hot arid zone including Kuwait and a high cost of rearing are the main constraints to this region. Therefore, dairy producers have to depend on importation of pregnant heifers for herd replacement. Research data on cost of heifer rearing from their weaning to first lactation were lacking. … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting 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
Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component AnalysisKittipol Wisaeng, Benchalak MuangmeesriThis study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determining whether to pursue a Master of Business Administration (MBA). Utilizing a well structured, hypothesized framework, we examine several key variables directly influencing this critical decision-making process. The examined variables include, but are not limited to, demographic information, academic … …Journal of Computer Science, Vol. 21, Issue 9 · 13 Oct 2025 · 2,242 accessesView PDFCite