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A Hybrid Model for Appraising and Forecasting Loan Repayments (Case Study: Karafarini Omid Fund)

کلیدواژه: Clustering,Ranking,Forecasting Credit Status of Loan Applicants,Karafarini Omid Fund,ROBPCA Principal Component Analysis,K-means Algorithm

نویسندگان: Asghari Farzad, AHMADI FARID

ناشر: پژوهشنامه اقتصادی - Journal of Economic Research

The aim of this paper is to present a hybrid model to evaluate performance of loan portfolio of banking system regarding loan repayment status and to forecast credit status of loan applicants. At first stage, we have taken credit granting management approach in order to cluster and rank 100, 224 loa... ادامه

سال:2019

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Corporate Governance Quality and Stakeholder Management: The Mediating Role of the Likelihood of Fraudulent Reporting

کلیدواژه: Corporate Governance, stakeholder management, fraudulent reporting

نویسندگان: Asghari Shiveh Ali, Ghayour Farzad, Mansourfar Gholamreza

ناشر: حسابداری و منافع اجتماعی - حسابداری و منافع اجتماعی

Purpose: examining the causes and conditions of financial scandals in companies shows that the lack of effective control over managers and imperfect governance of shareholders over how to manage affairs, along with delegating unlimited authority to management, provides grounds for f... ادامه

سال:2023

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The Effect of Agency Problems on Cost Stickiness in family and Non-Family Firms Considering the Moderating Role of Corporate Governance Quality

کلیدواژه: Cost stickiness,Agency Problems,Corporate Governance Quality,Family Firms,Non-Family Firms.

نویسندگان: Farzad Ghayour Farzad Ghayour, Didar Hamzeh, Ghayour Farzad

ناشر: حسابداری ارزشی و رفتاری - IRANIAN JOURNAL OF BEHAVIORAL & VALUED ACCOUNTING

Understanding cost behavior and identifying cost stickiness is crucial for internal and external stakeholders, as it influences company profitability and decision-making. Cost stickiness arises from the asymmetry in cost responses to changes in sales and can be affected by the agency problem, which ... ادامه

سال:2024

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Designing Comprehensive Model of Corporate Governance with open innovation approach in the insurance Industry

کلیدواژه: Open Innovation,Corporate Governance,Insurance Industry

نویسندگان: ZIYAE BABAK, Kafaee Farzad

ناشر: مدیریت نوآوری در سازمان های دفاعی - INNOVATION MANAGEMENT IN DEFENSE ORGANIZATIONS

Context/Purpose: Today, corporate governance is known as an ability to obtain financial and management health. In this regard, the Open Innovation provides useful and efficient ways to achieve strong corporate governance. Given the lack of research on open innovation to deal with the ultimate goals ... ادامه

سال:2020

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Islamic human resource management (iHRM) enhancing organizational justice and employees’ commitment

کلیدواژه: Employees’ commitment ؛ iHRM ؛ Islamic human resource management ؛ Islamic management ؛ Organizational justice

نویسندگان: Fesharaki, Farzad ؛ Sehhat, Saied

ناشر: Emerald Publishing Limited

This paper aims to introduce and promote the novel concept of Islamic human resource management (iHRM) and assess its effects upon two organizational attitudes, namely, perceived justice and employees’ commitment. Design/methodology/approach – The present study is an applicable and empirical researc... ادامه

سال:2018

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Evaluating the Effect of Corporate Governance and Petroleum and Petrochemical Industry on Employee Differential and Free Cash Flow Relationship with Earnings Management

کلیدواژه: Independence of the Board,Institutional Ownership,Petroleum and Petrochemical Industry,Employee Differential,Panel Data,Earnings Management

نویسندگان: Alimoradi Abbas, ZAMANI FARZAD

ناشر: مطالعات حسابداری و حسابرسی - JOURNAL OF ACCOUNTING AND AUDITING STUDIES

In this paper, we evaluate the effect of petroleum and petrochemical industry and corporate governance on the relationship between employee differential and free cash flow with earnings management. We test the research hypotheses by applying regression and correlation techniques during 2012-2016 for... ادامه

سال:2019

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A Hybrid Data-Mining Algorithm and DataDriven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers

کلیدواژه: Supply Chain,Warehouse Location,Data Mining,Warehouse Allocation,Clustering

نویسندگان: AHMADI SADRA, Yousefpour Reza

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

In this research, the issue of product allocation in a situation that there are a large number customers and goods are various, is investigated. Expanding the level of Internet access and increasing the desire of online shopping, raise the number of customers. In a situation where there is a great v... ادامه

سال:2021

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Prediction of Monthly River Flow Using Hybridization of Linear Time Series Models and Bayesian network (Case Study: Bakhtiari River)

کلیدواژه: Bayesian network,Input pattern,Model development,Stationary test

نویسندگان: AHMADI FARSHAD, VALINIA MIR MAHMOOD

ناشر: مدیریت آب و آبیاری - Journal of Water and Irrigation Management

One of the most important issues in water resources management is the preparation and development of appropriate models in order to predict the streamflow more accurately. For this purpose, in the present study, linear time series models (ARMA), intelligent Bayesian network (BN) and BN-ARMA hybrid m... ادامه

سال:2020

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Development of Wavelet-Kstar Algorithm Hybrid Model for the Monthly Precipitation Prediction (Case Study: Synoptic Station of Ahvaz)

کلیدواژه: Decomposition Level,Mother Wavelet,Willmott Index,Violin Plot

نویسندگان: AHMADI FARSHAD, MADDAH MOHAMMAD AMIN

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

Predicting hydrological parameters, especially rainfall, has played a very important role in water resources management and planning. Therefore, the development of methods giving accurate estimates has always been of interest to researchers. In this study, precipitation data from the Ahvaz synoptic ... ادامه

سال:2021

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Predicting Corporate Financial Distress Using a Hybrid Model of Artificial Immune System and Wavelet Neural Network (Artificial Intelligence)

کلیدواژه: Financial Distress,Financial Prediction,Wavelet Neural Network,Artificial Immune System,Logistic Regression,Hybrid Algorithm

نویسندگان: Mehrabi Reza, Hematfar Mahmoud, Sefati Farid

ناشر: تکنولوژی در کارآفرینی و مدیریت استراتژیک - Journal of Technology in Entrepreneurship and Strategic Management

In today's financial landscape, the prediction of corporate financial distress plays a crucial role in risk management and economic stability. This study aims to develop a hybrid predictive model that combines the Artificial Immune System (AIS) with the Wavelet Neural Network (WNN) to forecast finan... ادامه

سال:2024

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