per1مدیریت فردا2228-60472228-60472024-092378624articleMorteza Ghasemimorteza.ghasemi8910@gmail.com1Mohammad Zarei Mahmoudabadizarei.m@meybod.ac.ir2Morteza Nabi-Meybodimnabi@meybod.ac.ir3Master's Student in Industrial Management, Meybod University, Meybod, IranAssociate Professor, Department of Industrial Management, Meybod University, Meybod, IranAssistant Professor, Department of Industrial Management, Meybod University, Meybod, Iran<p>Objective: The main purpose of this research was scenario-based planning of the effect of changes in the factors affecting the steel market value using the system dynamics approach in Chadormalu Mining and Industrial Company. Methodology: The current research is based on new foresight, analytical and exploratory methods that were carried out with the help of quantitative and qualitative models. The statistical population of this research was all experts in the market and steel industry in Yazd province, and Vensim DSS software was used to analyze data and information. Conclusion: The results of this research showed that the provision of liquidity needs for investment plans and working capital relied on the internal resources of Chadormalu Mining and Industrial Company and the capital market, and the variable of the steel market value of Chadormalu Mining and Industrial Company, compared to the simultaneity of the change in The components that explain trust in the steel market shows much more sensitive to changes in knowledge and investment culture. In other words, in order to increase the value of the steel market, if the optimal policy of these variables is taken into consideration, the market value of the steel of Chadormalu Mining and Industrial Company will change to a greater increase factor. Originality: In this paper, the subject of scenario-based planning of the effect of changes in the factors affecting the value of the steel market has been comprehensively addressed with the approach of system dynamics steel industry, which has a few similar types of research.</p>http://modiriyatfarda.ir/Article/42168Scenario-based Planning Market Value System Dynamics Economic Driver Chadormalu Mining and Industrial Company.per1مدیریت فردا2228-60472228-60472024-0923782545articleمعصومه غفاریGhaffari1982@gmail.com1Alireza RoustaAliRezaRousta@yahoo.com2farzad asayeshfarzad.asayesh@gmail.co3Nader GharibNavaz N.gharibnavaz@gmail.com4Assistant Professor, Department of Business Management, Shahr-e-Quds Branch, Islamic Azad University, Tehran, IranAssistant Professor, Business Management Department, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran<p>Objective: The final goal of the research is to provide a model for co- branding according to the modern banking structure of our country so that it can cover the growing needs in the field of banking. Methodology: In this research, to achieve the co- branding model, the qualitative method of foundation data theory has been used, and the main basis for collecting information in this method is to conduct semi-structured interviews with knowledgeable people and experts in the sampling used in this article was theoretical sampling. After conducting interviews and collecting information, the codes obtained in different sections were analyzed and after three steps of open, central and selective coding, the final model was obtained by the researchers of this article Conclusion: The final model consists of the sum of the central category, causal conditions, intervening conditions, strategies and finally, the consequences and results of co- branding. Each of these conditions and factors that make up the model have variables and categories that pay attention to them to achieve the final goal of co- branding. Originality: Tis article is taken from thesis of Phd.Masoumeh Ghaffari charati</p>http://modiriyatfarda.ir/Article/48141Word Co-branding Word Modern Banking Word Foundational data theoryper1مدیریت فردا2228-60472228-60472024-0923784666articleمهشید سلیمانیmd.soleimani@student.pnu.ac.ir1Sayed Mousa Khademism.khademi@pnu.ac.ir2Ali Shahnazari DorchehShahnazari@pnu.ac.ir3سعید عبدالمنافی s.abdolmanafi@pnu.ac.ir4Assistant Professor, Department of Strategic Management, Payam Noor University, Tehran, Iran. <p>ABSTRACT Objective: The present study aims to identifying and leveling the factors affecting the fundamental competence of human resource managers. Methodology: The current research method is a mixed research and In terms of purpose, it is Descriptive survey. In this research, the fundamental competence factors of human resource managers related to transportation startups have been identified based on the literature, research background and interviews with experts. At first, 12 related factors were identified, then 6 factors were confirmed in the fuzzy Delphi stage. The statistical sample included human resources experts and managers in urban transportation service startups and human resources professors in the number of 15 people using the snowball sampling method. The statistical population in the path analysis section includes managers and human resources experts in intelligent taxi request systems for intra-city trips, about 330 people were identified and 258 people were selected using the stratified random sampling method based on the Morgan table to validate the factors. The fuzzy Delphi method was used in two stages. Conclusion:Therefore, based on the results of the coefficient of difference between the de-fuzzified average of the approved factors in two stages of the survey, 6 factors were approved, which include organizational culture, organizational vision and strategy, rules governing the organization, information technology, education and knowledge management and organizational communication. Then, using the interpretive structural model method, these factors have been leveled. The results of this method show that the most effective is related to the laws governing the organization, vision and organizational strategy, and the most effective factor includes training and management of organizational knowledge and organizational communication. The results of the path analysis also confirmed the relationships between the factors. Originality: This article is taken from the thesis of</p>http://modiriyatfarda.ir/Article/48478fundamental competency urban transport online service businesses Interpretivestructural modeling.per1مدیریت فردا2228-60472228-60472024-09237867104articleَAbolfazl Dehghani firoozabadia.dehghani@meybod.ac.ir1Alireza Asadzadeh firoozabadifirooz_680@gmail.com2vajiheh andalib ardakaniandalibv.1388@gmail.com3meybod UniversityYazd universityUniversity of Yazd<p>Objective: Given the importance of detergents and the role of users as customers, as well as issues related to the damage caused to the environment, sustainability concepts are of paramount importance in this industry.The present study aimed to evaluate the effects of sustainable marketing with the customer equity approach on consumer behavior and organizational performance. Methodology: In this study, a mixed approach was applied due to the study&rsquo;s nature, and the need to identify variables. In the qualitative section, the categories and components of sustainable marketing with customer equity, consumer behavior, and organizational performance were identified via interviews conducted with experts and grounded theory. The categories identified in the qualitative section were entered into the quantitative section as the main variables. In the quantitative section, the effect of sustainable marketing with the customer equity approach on consumer behavior and organizational performance was evaluated using the PVAR model for nine detergent companies between 2010 and 2022 and the variables identified in the qualitative section. Conclusion: According to the results: sustainable marketing with the customer equity approach had an insignificant effect on consumer behavior and organizational performance,only customer equity and the environmental dimension of sustainable marketing effectively affected consumer behavior.</p>http://modiriyatfarda.ir/Article/48479Sustainable Marketing Customer Equity Consumer behavior Organizational Performance.per1مدیریت فردا2228-60472228-60472024-092378105118articleٍEesa Niazie.niazi@gu.ac.ir1ramin bagheriRaminbagheri2010@gmail.com2Sima Yeganehmandyeganeh2010@gmail.com3aDepartment of Management, Faculty of Humanities and Social Sciences, Golestan University, Gorgan, IranMA of Business Administration, Department of management, Faculty of Management and Accounting, Shargh Golestan Higher Education Institute, Gonbad-e-Kavous, Iran<p>Objective: The purpose of the present study is to investigate the impact of green benefits and transparency on perceived green value and brand loyalty among LG brand consumers. Methodology: This study explores the effect of green benefits on perceived green value and loyalty to the LG brand with a descriptive -survey approach. The statistical population of the study is all customers of LG agencies in Gorgan. The study model is derived from the study of Lin (2017), in which green benefits are divided into two parts: the benefits of environmental use and positive reflection. Conclusion: The results of the analysis of structural equations by Amos software showed that the beneficial environmental benefits of the perceived green value, a positive reflection on the perceived green value, green transparency on the perceived green value, the perceived green value on brand link and also Brand links have a positive and significant impact on brand loyalty. Thus, green benefits have a significant impact on the LG brand. Originality: Understanding the catastrophic environmental pollution caused by industrial production activities in the world has made consumers more likely to focus on environmental issues, and on the other hand, community concerns for the environment have led to the emergence of a new type of consumer that have led to the importance of the environment for the environment</p>http://modiriyatfarda.ir/Article/48617green benefits green perceived value green transparency self-brand connectionper1مدیریت فردا2228-60472228-60472024-092378119139articleMohammad Ali Afshar Kazemiroya.khani64@gmail.com1Mohammadali Afsharkazemim_afshrkazemi@iauec.ac.ir2Abbas Toloei Eshlaghy tolouei.research@gmail.com3Ezattollah AsgharizadehASGHARI@UT.AC.IR4Associate Professor of Industrial Management, Islamic Azad University, Science and Research Unit, Tehran, IranFull Professor of Industrial Management, Islamic Azad University, Faculty of Science and Research, Tehran, Iran<p><strong>Granting facilities is an important part of every bank's operations. This part of banking activities is economically important. With its operations, banks can provide the transfer of resources from those that have directly invested to those who need money, this repayment makes another people use these resources. Failure to repay facilities on time will cause the bank's resources to stagnate and in the long will cause the country's economic recession. It is important to monitor the correct allocation of resources because if bank resources are used and unfounded payments are made, the banks will not be able to pay the depositors and will become bankrupt. By examining the researches in the field of banking, it was found that most of the researches have focused on the optimal combination of the investment portfolio in the capital market, and less researchers have paid attention to the discussion of the optimal combination in the money market. Most of the researches that used operational and statistical research methods were related to industrial issues, and less in financial issues and operational research discussions were used. In the optimal portfolio of the combination of facilities or investments, mostly the genetic algorithm has been used and less than other fuzzy methods have been used in the conditions of uncertainty. Therefore, in this research, the improvement of facility payment modeling has been addressed by using convolutional neural networks and CNN-LSTM modeling.</strong></p>http://modiriyatfarda.ir/Article/49095Facilities Data Mining Deep learning Clustering CNN CNN-LSTM.per1مدیریت فردا2228-60472228-60472024-092378140161articleFarzaneh Rahmanirahmani.f.it@gmail.com1Changiz Valmohammadich_valmohammadi@azad.ac.ir2Kiomars Fathi Hafshjanifathikiamars@yahoo.com3گروه مدیریت فناوری اطلاعات، دانشگاه آزاد اسلامی، واحد تهران جنوب، تهران، ایران<p style="text-align: left;">With the increasing growth of online banking, banks and financial institutions are more and more inclined to use this technology and its services. Due to the high volume of transactions, it is practically impossible to manage them by human resources. For this purpose, today, approaches based on data mining have come online with the help of banking. In this article, an efficient model for identifying fraudsters in bank card transactions is presented. The proposed method uses the adjacency matrix, placement of non-valued features using weighting, and random forest aggregation algorithm, in each branch of which, by calculating the weight of each branch, the best branch of the decision maker is selected by calculating the cost of the selection model. It can be It also selects the best forest for decision-making using the multiple quadratic model. Thus, we have tested this method on two data sets, the first one had 14 features and the second one had 20 features, and it has been observed that the model of this research compared to the decision tree, support vector machine, neural network, and normal random forest, which is currently the highest The results have shown improvements over any method. Also, the tests show that none of the mentioned methods were able to predict the OOB error and the normal random forest which is able to predict this error performed much weaker than the proposed model..</p>http://modiriyatfarda.ir/Article/51367Fraud detection online banking credit card transactions multiple weighted random forest quadratic modelper1مدیریت فردا2228-60472228-60472024-092378162178articleSomayeh Mohammadpours.mohammadpour83@gmail.com1Fereydon Rahnamay Roodposhtiroodposhti.rahnama@gmail.com2maryam rahmatyRahmaty.Maryam61@gmail.com3Reza Ehtesham Rasiehteshamrasi@qoau.ac.ir4PhD student, Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of financing and accounting, science and research branch, Islamic azad university, Tehran, Iran Assistant Professor, Department of Management, Chalous Branch, Islamic Azad University, Chalous, Iran .Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran<p>Risk management systematically applies policies, procedures, and processes related to risk analysis, evaluation, and control activities. Money and capital management is a financial strategy determining how a trader invests money in various digital currency assets. Cryptocurrency trading can be very profitable when done right. However, if they are done wrong, you can suffer unimaginable losses, some of which can never be recovered. Therefore, there are good trading habits that every trader should use. Thus, if risk management methods are well-applied, they will protect cryptocurrency trading and help you stay in the market without ruining your account. The current research aims to identify and prioritize risks in investing in digital currencies, focusing on the characteristics of transformative technologies such as blockchain and the Internet of Things. The present study conducted an extensive literature review to identify various risks. For empirical analysis, this study extracted data from the subject literature and analyzed using the opinions of 55 experts. A fuzzy neurosophisticated decision-making method was used to prioritize different risks. Among the risks, the risks related to network security are at the highest level, followed by the risks associated with network slowdown and operational risk. The results of this research have several implications for regulators, policymakers, entrepreneurs, technologists, and professionals. These stakeholders can focus on these vulnerabilities and provide more sustainable solutions in the future</p>http://modiriyatfarda.ir/Article/51929Investment risk Risk management Investing in cryptocurrency Fuzzy Neutrosophic.