maryam rahmaty | Islamic Azad Universty (original) (raw)

Papers by maryam rahmaty

Advances in business information systems and analytics book series, Jun 14, 2024

The importance of the financial system in the industry is not only related to the organization it... more The importance of the financial system in the industry is not only related to the organization itself but also depends on the industry's network. Technological developments, growth in industry, and increasing use of new technology in human life have changed the organization's financial system. One of the most important factors in the necessity of financial development is the issue of network security, monetary systems, banking systems, and privacy of customers and users. For this purpose, it will be considered to improve the quality level and speed of this process to pursue financial claims. Along with the industrial developments of different generations and the continuous and universal use of Industry 4.0 technologies, the financial and banking system also needs to be updated and mastered to reduce cybercrime and prevent financial fraud and bank stolen. This chapter examines the financial system

Lecture notes on data engineering and communications technologies, 2024

Marketing management implies planning, organizing, executing, and controlling marketing assets an... more Marketing management implies planning, organizing, executing, and controlling marketing assets and assembly desires and requests of buyers to realize the objectives of the organization. For marketing administration to be effective, the complete organization must back the advertisement and client introduction. With this definition, it can be said that sustainable marketing management incorporates arranging, organizing, executing, and controlling marketing assets to reply to wants and requests of nowadays and future eras by watching social benchmarks and the normal environment and accomplishing the organization's objectives. It is obvious that the first step to creating a stable marketing environment is targeted and accurate data and transformative technologies are the most important tools for extracting, maintaining, and analyzing data. AIoT technology, which is a combination of Internet of Things technology and artificial intelligence, not only helps to exchange data but also helps to collect and create a customer database and analyze the extracted big data. Smart interactive marketing based on AIoT has included various advantages for marketers, it brings sustainable development in all its dimensions, which affects the user's decision to choose and buy a product. Data-driven marketing helps to develop innovative sustainable products and strengthen innovation based on human health. For these reasons, in this research, after examining the dimensions, components, and key performance indicators of smart sustainable marketing based on AIoT, a conceptual framework is presented to better understand the issue.

Edelweiss applied science and technology, Nov 16, 2023

Iranian Journal of Educational Sociology, Aug 31, 2023

[Jafar Kialashaki, Davood Kiakojouri, Mohammad Javad Taghipourian, Maryam Rahmati] Abstract: Purp... more [Jafar Kialashaki, Davood Kiakojouri, Mohammad Javad Taghipourian, Maryam Rahmati] Abstract: Purpose: The compliance ethical characteristics plays an important role in urban management, and accordingly, the purpose of this study was identifying the effective ethical codes on urban management with a meta synthesis method. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The field of research was all articles of effective ethical codes on urban management in 2012 to 2022 years, which number of 26 articles from 311 articles based on the inclusion criteria were selected with purposive sampling method. The data were collected by taking notes from the articles and analyzed with content analysis method based on meta synthesis approach of Sandelowski and Barroso's seven-step. Findings: The findings showed that were identified 94 concepts in 16 components and 6 categories for effective ethical codes on urban management. The categories were include urban management ethics codes (with 4 components of individual codes of ethics of employees, ethical codes of managers, ethical codes between employees and ethical codes of organizations with people), procedures of the organization (with 2 components of problem definition and stakeholders), content factors of the organization (with 3 components of environmental factors, organizational factors and fundamental factors), structural strategy (with 2 components of informing and training and correction and improvement of functions), content implementation levels (with 3 components of ethical system leveling, identification of values in the organization and mechanisms of moral strengthening) and implementation consequences of ethical codes (with 2 components of intra-organizational consequences and extra-organizational consequences). Finally, the pattern of effective ethical codes on urban management was drawn. Conclusion: The pattern of effective ethical codes on urban management can help specialists and planners in improving the situation of urban management. [Keywords: Ethical codes, urban management, individual ethics of employees, organizational factors, informing and training]

Advances in business information systems and analytics book series, Dec 4, 2023

Advances in e-business research series, Nov 30, 2023

Chapman and Hall/CRC eBooks, Feb 8, 2024

Blockchain and the Internet of Things have shown their potential to become a game changer in rece... more Blockchain and the Internet of Things have shown their potential to become a game changer in recent years, utilizing powerful data collection and storage technology. In general, with the development of new technologies, different industries, like it or not, are forced to use them to compete with competitors. The supply chain industry has also undergone many changes with the recent developments and rapid growth of production. Implementation of supply chain management using Internet of Things and Blockchain is one of the recent concerns of organizations because the Internet of Things is one of the most important tools for generating and maintaining data. Blockchain technology, along with the Internet of Things, adds to businesses the ability to track all types of physical and financial transactions in a transparent platform. The combination of these technologies together makes it possible to track products from the origin to the destination and by accurately recording the history of movements. By using this advanced technology, all related processes can reduce human error associated with financial transactions. Eliminating intermediaries in the supply chain processes minimizes the possibility of fraud in the processes. In this chapter, an attempt has been made to provide an analytical framework for a smart and resilient supply chain with emphasis on the combination of these transformative technologies by emphasizing the opinions of experts and reviewing the literature. The cause and effect relationships of actors and the effects of these technologies on the agility and resilience of this supply chain have also been investigated.

Logistics

Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing ... more Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing problem, taking into consideration reliability. The mathematical model presented aims to determine the optimal locations of production centers and warehouses, as well as the optimal routing of vehicles, in order to minimize total costs. Methods: Because of the uncertainty surrounding the demand and transportation cost parameters, a fuzzy programming method was employed to control the model. To solve the mathematical model, both GA and PSO algorithms were used. Results: The results show that as the uncertainty rate increases, the total costs also increase. Additionally, the results indicate that the maximum relative difference percentage between the solutions of the GA and PSO, and the optimal solutions are 0.587 and 0.792, respectively. On the other hand, analysis of numerical examples demonstrates that the Baron Solver is unable to solve large-scale numerical examples. Conclusions: By c...

International Journal of Innovation in Engineering

Blockchain technology is an emerging technology that will have a significant impact on the busine... more Blockchain technology is an emerging technology that will have a significant impact on the business of organizations. One of the influential areas of blockchain technology is the supply chain sector. Supply chain is a network of people and companies that focuses on the production and distribution of a specific product or service from the stage of primary producers to customers and consumers. Most supply and distribution networks face problems with managing all these components together. Many problems of current supply chains can be solved through blockchain technology; Because blockchain offers us very good and pristine ways to record, transfer and share information. The literature in this field is more focused on the technological sector and pays less attention to other sectors. In this research, it is emphasized the need to pay attention to the relationships between supply chain partners and change management when adopting this technology. Also, the current research identifies som...

Journal of Data Analytics

Machine learning algorithms use big data to learn future trends and predict them for businesses. ... more Machine learning algorithms use big data to learn future trends and predict them for businesses. Machine learning can be very efficient for deciphering data in industries where understanding consumer patterns can lead to big improvements. The use of machine learning can be a giant leap for businesses and cannot simply be integrated as the top layer. This requires redefining workflow, architecture, data collection and storage, analytics, and other modules. The magnitude of the system overhaul should be assessed and clearly communicated to the appropriate stakeholders. The main focus of machine learning is to develop computer programs that can access data and use it to learn. The learning process starts with observations or data, to find a pattern in the data and make better decisions. The main goal of data analysis using machine learning is that it allows the computer to learn automatically without human intervention and help and can adjust its actions accordingly. Considering the ma...

Quarterly Journal of Management Strategies in Health System

Background: Considering the high goals of an organization, one of the most important tasks of org... more Background: Considering the high goals of an organization, one of the most important tasks of organizations is to motivate employees as the strategic assets of the organization. The phenomenon of organizational insentience has been one of the main challenges in recent years and refers to a situation in which employees of the organization are not motivated toward their organizational environment. Accordingly, the present study aims to develop the scale of organizational insentience in the Red Crescent Society of the Islamic Republic of Iran. Methods: The present study was conducted through a mixed method in 2022. The qualitative part has been done using the grounded theory approach and based on semi-structured and in-depth interviews with 21 experts selected through purposive and snowball samplings. Furthermore, the quantitative part has been done by the structural equations modeling with partial least squares approach and Smart PLS3 software. The statistical population of the resear...

Computational Intelligence and Neuroscience, May 5, 2022

Brent crude oil is considered as one of the most important sources of crude oil pricing in the wo... more Brent crude oil is considered as one of the most important sources of crude oil pricing in the worldwide market, and it is used to set the price of two-thirds of the traded crude oil supplies in the world. To predict the price of Brent crude oil, LSTM and Bi-LSTM methods are applied, which are the architecture of the recursive neural network. Initially, the database creates the appropriate data for the period January 2015 to March 2021 from Brent crude oil price signals and daily data from a nancial market, and then, the modeling process is performed via the use of MATLAB software. Also, about 90% of the data are for training and the remaining for validation and comparison. Using LSTM and Bi-LSTM neural networks, the network architecture has been worked on, and by adding the number of layers and changing the solvers (SGDM, RMSProp, and Adam), the errors of di erent models are compared with each other. Nonlinear techniques of arti cial neural networks and deep learning were used for modeling. en, the network architecture was worked on and the model error rate was evaluated by comparing di erent layers and solvents such as SGDM, RMSProp, and Adam. e superiority of SGDM solvent over others was shown, and nally, it can be mentioned as the superior method of modeling of price forecasting in Brent crude oil eld. e results show that the model with two layers of LSTM and SGDM solver has less error and better accuracy.

Discrete Dynamics in Nature and Society

The customer churn is one of the key challenges for enterprises, and market saturation and increa... more The customer churn is one of the key challenges for enterprises, and market saturation and increased competition to maintain business position has caused companies to make all attempts to identify customers who are likely to leave and end their relationship with a company in a particular period to become the customer of another company. In recent years, many methods have been developed including data mining for predicting the customer churn and manners that customers are likely to behave in the future and therefore, taking action early to prevent their leaving. This study proposes a hybrid system based on fuzzy entropy criterion selection algorithm with similar classifiers, grey wolf optimization algorithm, and artificial neural network to predict the customer churn of those companies that suffer losses from losing customers over time. The research results are evaluated by other methods in the criteria of accuracy, recall, precision, and F_measure, and it is declared that the propos...