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Analyzing the Capability-attractiveness Matrix for Emerging Technologies in Iran’s Humanitarian Supply Chain

کلیدواژه: Humanitarian supply chain,Emerging technologies,Best-worst method,Capability-attractiveness matrix

نویسندگان: Sadeghi Moghadam Mohammad Reza, Noferesti Reihane, Farahani Amin

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The influence of climate change on the frequency and severity of natural disasters is ever-increasing on a global scale. While natural disasters are unpredictable, emerging technologies can help with their prevention. Technologies allow responders to act sooner rather than later. The impo... ادامه

سال:2022

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Regulatory Requirements in Financial Technologies (FinTech)

کلیدواژه: decentralisation, the law of financial technologies, financial intermediation, financial regulation

نویسندگان: Vakili Moghadam Mohammad Hosein

ناشر: حقوق فناوری های نوین - Modern Technologies Law

The expansion of technology and innovative methods in financial services has created opportunities and challenges that make its correct legal planning a necessary structure. The diversity of financial services and products, the speed of technological developments and the unknown processes used in th... ادامه

سال:2024

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Optimal Scheduling of Energy Storage Systems with Private Ownership Based on a Stochastic-Robust Hybrid Optimization Model in Energy and Ancillary Services Markets

کلیدواژه: Electricity market, Stochastic-Robust Hybrid Optimization, Energy-Storage System, Uncertainty, Ancillary Services Markets

نویسندگان: Farahani Mohammad, Samimi Abouzar, Shateri Hossein

ناشر: مدل سازی در مهندسی - Modeling in Engineering

In this paper, the problem of participation of a Battery Energy Storage (BES) in the Day-Ahead Market (DAM) and Real-Time Market (RTM) in three cases including Joint Energy and Reactive Power Market (JERPM), Energy Market (EM) and Energy and Reserve Market (ERM) is modeled based on a hybrid Stochast... ادامه

سال:2024

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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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A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study

کلیدواژه: Motorcyclists,Traffic injury,Structural equation modeling,Neural networks

نویسندگان: HASANZADEH Shila, ASGHARIJAFARABADI MOHAMMAD, SADEGHI BAZARGANI HOMAYOUN

ناشر: - Iranian Journal of Public Health

Background: To model, the predictors of injuries caused the hospitalization of motorcyclists using a hybrid structural equation modeling-artificial neural network (SEM-ANN) considering a conceptual model. Methods: In this case-control study, 300 cases and 156 controls were enrolled using a cluster r... ادامه

سال:2020

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Corporate Governance and Liquidity Creation: Evidence from Iranian Banks

کلیدواژه: Corporate Governance,Liquidity Creation,Bank Size,GMM Method

نویسندگان: Sadeghi Somaye

ناشر: - Journal of Money and Economy - Journal of Money and Economy

This paper exAmines the impact of internal bank governance on bank liquidity creation in Iran during 2010-2017. We analyze whether banks with larger size and liquidity levels creates higher levels of liquidity. The results using panel GMM method show that corporate governance has a positive effect o... ادامه

سال:2019

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Challenges and Opportunities of Emerging Technologies in Strategic Management

کلیدواژه: Challenges and Opportunities,Emerging Technologies,Strategic Management

نویسندگان: Sharif Moghadam Hadi

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

In the present era, where technological advancements are expanding at an unprecedented rate, the strategic role of technology management and entrepreneurship has increasingly become a focal point of attention. The editorial team of the "Journal of Technology in Entrepreneurship and Strategic Managem... ادامه

سال:2022

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Supervisory Models and Regulatory Frameworks for Utility Tokens in the Iranian Public Law System

کلیدواژه: Crypto-Assets, Regulation, public law, Utility Tokens, Mica

نویسندگان: Karami Moghadam Rasoul

ناشر: مطالعات فقه و حقوق رسانه - Jurisprudence and legal studies of media

This study aims to exAmine supervisory models and regulatory frameworks applicable to utility tokens, with a particular focus on Iran’s public law system. Employing a descriptive-analytical method, the research analyzes existing regulatory patterns to assess the potential for localizing effective go... ادامه

سال:2025

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Measuring the Resistance of Islamic Banking System (Case Study: Islamic Republic of Iran)

کلیدواژه: Resilience Economy,Resilience Banking,Composite Index

نویسندگان: BASTANIFAR IMAN, RANJBAR REZA, HEIDARI MOHAMMAD REZA

ناشر: راهبرد اقتصادی - ECONOMIC STRATEGY

There are several concepts in the global literature on the semantic relationship with a Resilience economy, the most important of which are Economic Resilience, Economic Vulnerability, Economic Solidarity, Macroeconomic Stability, and Economic Fragility. In this research, by exAmining these concepts... ادامه

سال:2019

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Application of Hybrid Data Mining Model (Genetic Algorithm-Wavelet-Deep Neural Network-Monte Carlo Method) for Forecasting the Price of Agricultural Products: A Case Study of Future Price of Saffron in Agricultural Commodity Exchange

کلیدواژه: Forecasting, Future Price of Saffron, Genetic algorithm, Wavelet Theory, Deep learning Neural Network, Monte Carlo Method

نویسندگان: Heydari Reza, Haj Seyed Javady Seyed Mohammad Reza

ناشر: اقتصاد کشاورزی و توسعه - Journal of Agricultural Economics and Development

The price forecasting and its changes trend is one of the most important factors in decision making and formulating strategies related to agricultural products. This study aimed at presenting a hybrid data mining model for accurate price forecasting of agricultural products, including nonlinear mode... ادامه

سال:2023

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