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Analyzing the Effective Dimensions of Emerging Technologies on the accounting Profession: A Meta-synthesis

کلیدواژه: Digital accounting, Artificial Intelligence, Blockchain, Meta-synthesis

نویسندگان: Nazarian Raheleh, Mozafari Fahimeh

ناشر: بررسیهای حسابداری و حسابرسی - THE IRANIAN accounting AND AUDITING REVIEW

Objective In recent years, the rapid advancement of technology has significantly reduced information distortions and eased restrictions on accessing information. accounting is one of the fields most influenced by these changes. Emerging technologies, such as Artificial Intelligence,... ادامه

سال:2024

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Artificial Intelligence Approach Analyzing Management Ability Based on accounting and Corporate Governance Criteria

کلیدواژه: Management Ability,Accounting Variables and Corporate Governance,Artificial Intelligence Algorithm

نویسندگان: Shahsahebi Seyed Mostafa, DARABI ROYA, HAMIDIAN MOHSEN

ناشر: INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL accounting - INTERNATIONAL JOURNAL OF FINANCE AND MANAGERIAL accounting

The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also Artificial Intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accountin... ادامه

سال:2020

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Artificial Intelligence and Ethical Decision-Making in accounting and Auditing: Analysis of Related Challenges

کلیدواژه: Keywords: challenges, Future of accounting,

نویسندگان: Azarsaeed Yashar, Rostami Shoeyb

ناشر: قضاوت و تصمیم گیری در حسابداری - Judgment and Decision Making in accounting and Auditing

AbstractThis article examines the ethical challenges of using accounting systems based on Artificial Intelligence for decision-making and presents the correct decision-making in the framework of the four-component model of Rest. The following article contributes to the literature related to accounti... ادامه

سال:2023

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Analysis of Ability Management with Emphasis on the Role of accounting and Corporate Governance Indicators (Artificial Intelligence Method)

کلیدواژه: Management Ability,Accounting,Corporate Governance Indicators,Artificial Intelligence

نویسندگان: Shahsahebi Seyed Mostafa, DARABI ROYA, HAMIDIAN MOHSEN

ناشر: دانش حسابداری و حسابرسی مدیریت - JOURNAL OF accounting KNOWLEDGE AND MANAGEMENT AUDITING

The purpose of this research is to analyze management ability using Artificial Intelligence algorithm using accounting and corporate governance indexes. In this regard, to measure the management ability of the Demerjian index is used. Initial independent variables in this study include variables of ... ادامه

سال:2021

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Examination of the Drivers of Good Islamic Corporate Governance: A Meta-synthesis Approach

کلیدواژه: Good Islamic Corporate Governance, Sharia Strategy, Meta-Synthesis

نویسندگان: Bakhshayesh Seyed Hossein, Taftiyan Akram, Moeinadin Mahmoud

ناشر: تحقیقات مالی اسلامی - Islamic Financial Research

 1. Introduction and Objective
The performance and achievement of predetermined goals represent one of the primary concerns of all stakeholders in any institution. Continuous monitoring of organizational processes guides companies and institutions toward improv... ادامه

سال:2025

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Identifying Board Processes through Behavioral Perspective toward Corporate Governance using Meta-synthesis Approach

کلیدواژه: Corporate Governance,Behavioral Approach,Board Processes,Systematic Review,MetaSynthesis

نویسندگان: Divandarri Ali, Hashemi Mohammad Sadegh, AGHAZADEH HASHEM, HOSSEINI SEYED MAHMOUD

ناشر: مدیریت بازرگانی - Journal of Business Management

Objective: Boards are mainly concerned with communication issues as well as how to overcome the uncertainty associated with the strategic decision-making process rather than simply the old challenge of "conflict of interests" and their legal and structural solutions. In fact, although structural and... ادامه

سال:2021

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Watershed Change Detection Using Hybrid Conceptual Model-Artificial Intelligence

کلیدواژه: Watershed Land Use Change,Conceptual Rainfall-Runoff Model,Storage Coefficients,Artificial Intelligence,Wavelet-Entropy

نویسندگان: ANDALIB GHOLAMREZA, NOURANI VAHID, Sharghi Elnaz

ناشر: رویکردهای نوین در مهندسی عمران - JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING

This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the Artificial Intelligence and soft computing capabilities such as wavelet-entropy were employed for t... ادامه

سال:2019

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The Effects of Blockchain Technology on the accounting and Auditing profession

کلیدواژه: Technology,Blockchain,Accounting,Auditing

نویسندگان: Noori Doabi Payam, TALEBNIA GHODRAT ALLAH

ناشر: رشد فناوری - Roshd-e-Fanavari

After the Internet, Blockchain technology has become a key factor in creative and innovative ideas and solutions in the financial sector due to its wide application potential and its numerous implementations. The advent of Blockchain creates new opportunities and challenges for ongoing auditing and ... ادامه

سال:2023

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Control or Innovation; Legal Requirements of Regulatory Policies in Artificial Intelligence

کلیدواژه: Artificial Intelligence (AI),legislation,Regulation,Regulatory Policy,Risk and Control,opportunity and Innovation

نویسندگان: Hashemi Seyed Hossein

ناشر: دولت و حقوق - Government and Law

In response to the rapid development of Artificial Intelligence (AI), various legal systems have created different regulatory and supervisory interventions for this technology. While some countries prioritize consumer protection by imposing stringent regulations, others adopt a more permissive appro... ادامه

سال:2024

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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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