Saeed Mirzamohammadi Articles List

List of Articles Saeed Mirzamohammadi

Open Access Article
- Abstract Page
- Full-Text
1 - Causes of failure in administrative and financial control systems: a case study of Iran University of Science and Technology
Saeed Mirzamohammadi Roghayeh Khadem
20.1001.1.22286047.1401.21.72.6.5

The aim of this study is to identify the causes of failure in financial and administrative management and control systems: A Case Study of Iran University of Science and Technology. This descriptive and correlation study was conducted on the staff of the University of S More

The aim of this study is to identify the causes of failure in financial and administrative management and control systems: A Case Study of Iran University of Science and Technology. This descriptive and correlation study was conducted on the staff of the University of Science and Technology, with a sample size of 200 people. In this study, to assess the causes of failure in financial and administrative management and control systems, a pre-validated questionnaire was used with an alpha coefficient of α= 0.83. Factors affecting failure are divided into three categories. In addition to descriptive statistics, correlation and regression analysis were used. The results show that accounting systems, human factors and legal deficiencies in the administrative and financial control are, respectively, the most important causes of failure in financial and administrative management and control systems at Iran University of Science and Technology. Manuscript profile
Open Access Article
- Abstract Page
- Full-Text
2 - Providing the best two- or multi-faceted barter between the two companies in the holding company
Saeed Mirzamohammadi

The existence of debt in the accounts between a set of companies causes the items to be flooded to the left and right of the corporate balance sheet. And have misleading financial ratios for corporate finance analysts and lead to misleading predictions about the company More

The existence of debt in the accounts between a set of companies causes the items to be flooded to the left and right of the corporate balance sheet. And have misleading financial ratios for corporate finance analysts and lead to misleading predictions about the company's future. This is the case in a set of companies under the umbrella of a holding due to interactions between them and on the other hand, if there is a solution, it can be tracked and reduced due to the upstream management of the holding. In this paper, using mathematical modeling and optimization, the best combination of the two or multiple possible channels between the holding companies is suggested. How to deal with this issue is one of the issues of day care and modeling and solving it in the form of math planning is the main innovation of this article. The proposed modeling is implemented in one of the IT field holdings and its results are reported in this paper. Manuscript profile
Open Access Article
- Abstract Page
- Full-Text
3 - Identifying the effective actors of forex trading network in the NIMA system using social network analysis
Mehrdad Agha Mohammad Ali Kermani mohammad javad Rokhsat Talab Saeed Mirzamohammadi
20.1001.1.22286047.1400.20.68.1.5

Nima system is an integrated system of foreign exchange transactions. Nima is a platform system that has been designed and implemented with the aim of managing the foreign exchange market. In this system, on the supply side, exporters can sell the currency from their ex More

Nima system is an integrated system of foreign exchange transactions. Nima is a platform system that has been designed and implemented with the aim of managing the foreign exchange market. In this system, on the supply side, exporters can sell the currency from their exports, and on the demand side, importers can request to buy foreign currency. Identifying effective actors in each of these markets can have a positive impact on the policies of the main market maker of this system, the central bank.Using social networks analysis (SNA) tools can be a good way to achieve this. Since in these networks each of the actors can only have one of the roles of "buyer" or "seller" and there is only the possibility of trading and communication with the opposite role, these networks can be called bipartite networks. As a result, the usual approaches to identifying effective actors for these networks will not be usable. In contrast to standard approaches, we used a weighted projection algorithm to solve this problem. After projectting each of the two networks of foreign exchange supply and demand, four new networks are created, including the network of seller-exporters, buyer exchange offices, buyer importers, and seller exchange offices. Then We will try to make a method to score and rank the nodes. As a result of the implementation of the algorithm, a ranking was provided for the nodes, based on which the node with the highest rank will be the most important node in our network. Finally, in order to make suggestions to the policymaker, by analyzing the results of the ranking, questions about effective market players were answered. Manuscript profile

Current Issue

Published Issues

Menu

Browse

List of Articles Saeed Mirzamohammadi