Showing 9 results for dehghan nayeri
Mahmoud dehghan nayeri, Shadab Shapury,
Volume 9, Issue 1 (10-2019)
Abstract
Considering the vital role of Environmental factors alongside industries’ efforts on effective and efficient use of resources as well as nowadays’ social issues, lead to serious attention to sustainable development. On the other hand, the intensity and necessity of environmental considerations in the steel industry, which has decades of history in Iran, has always been emphasized. Therefore, this paper aims to elaborate the underlying factors of steel industry sustainable development. To this aim, based on prior studies and interviewing experts, the underlying extracted factors scrutinized through ISM approach in order to develop a coherent structure. In the following, the structured factors clustered by MICMAC analysis. In addition, their mutual affects and importance weights, derived by employing ANP on the ISM developed structure. Findings depict that inventory, occupational accidents, human safety and welfare are the most effecting factors of steel industry sustainable development.
Volume 9, Issue 2 (Spring 2018)
Abstract
Aims: Antioxidants in sesame oil, including tocopherols and sesamin have greatly increased the shelf life of it against heat. Following the increase in the expression of the cytochrome P450 enzyme encoder (CYP81Q1), the content of sesame is increased in different stages of development of sesame seeds. The aim of this study was cloning, sequencing, and bioinformatics study of CYP81Q1 gene of Iranian sesame (Seamum indicum L.) cultivar.
Materials and Methods: In the present experimental research, DNA was extracted from leaves and stems of Karaj1 sesame cultivar and the target gene was amplified by PCR. Gene was cloned in binary vector pBI121 and confirmed by 3 methods, including enzymatic digestion, PCR, and sequencing. Then bioinformatics characterization of this gene was studied and the Ramachandran plot was drawn on the three-dimensional structure of the gene.
Findings: Cloning was confirmed. DNA sequencing results confirmed the cloned segment. Molecular weight and predicted isoelectric point of the protein were 57021.3 Dalton and 8.46, respectively. The three-dimensional structure of the protein had a good stroke chain. The sequencing result of this gene showed a difference in the 23 nucleotides of this gene in sesame seeds of Karaj 1 (access number KP771974.1) with a reported sequence in the NCBI gene bank (access number AB194714.1), which resulted in the sequencing of the CYP81Q1 gene in Iranian sesame (Karaj 1) at this database.
Conclusion: Based on nucleotide sequencing, the target gene has 1521 base pairs, and differs from 23 nucleotides with the sample registered at the NCBI World Bank. This gene encodes a protein length of 506 amino acids. This protein is very similar with the registered protein in NCBI.
Dr Mahmoud dehghan nayeri, Dr Adel Azar, Dr Roghayeh Hadad,
Volume 10, Issue 4 (3-2021)
Abstract
Pricing as a basis of revenue management can ensure the maximum expected profit of any business if managed effectively. In competitive markets of perishable products, the prices are vitally set in a dynamic manner according to the product life cycle by different discounts or price recovery strategies. Consequently this study develops an optimization model on dynamic pricing with the aim of maximizing revenue and diminishing the related costs. Considering the product freshness and its impact on demand, the model determines the pricing policy including the increasing or decreasing rate of the price during the sales horizon consist of several time periods equal to the product life cycle. Moreover, replenishment and inventory costs are incorporated in defining the pricing policy for each period. The proposed model implemented for the OK chain store, which results in a suitable pricing policy (decreasing) in line with the revenue increase for the meat and vegetable products of the whole store.
Dr Mahmoud dehghan nayeri, Dr Emad Nobahar, Mohammad Reza Hadi Zade Raeisi, Mehdi Taghavi,
Volume 12, Issue 2 (9-2022)
Abstract
Considering the development of technology and the increasing importance of online food ordering channels, this study aims to compare the effect of online food ordering channels on customers' purchase intention. This research is descriptive-analytical in nature, practical in terms of purpose, and based on the survey method. In the beginning, by reviewing the subject literature, the conceptual model of the research was obtained and led to model hypotheses that were tested by the structural equation modeling and partial least squares (PLS-SEM) approach in two outsourcing channels including Snapfood and the internal website of well-known chain restaurants in Tehran. Findings prove the positive effect of service quality, service attractiveness, and fair price on the perceived value of the distribution channel, while channel reputation has no significant effect on the perceived value of customers. Moreover, the results depict that the perceived value of distribution channels, customer satisfaction, and word-of-mouth advertising has a significant positive effect on the customer's purchase intention through the online channel, although there is an intensive total effect (indirect and direct) of perceived value on the customer's purchase intention In the outsourcing channel, contrary to the internal website.
Mostafa Jahani, Mahmoud dehghan nayeri,
Volume 13, Issue 3 (4-2023)
Abstract
Most strategic programs assume the future using various methods, and develop a static program based on trend extrapolation from a single future that provides acceptable results in a small set of possible futures. If the future turns out to be different from the assumed ones, the program may fail. In addition to the high uncertainty in predicting the future, planning conditions also change over time. To address this issue, this study seeks to design a model for developing adaptable strategies that can both provide satisfactory performance in multiple diverse futures (Robustness) and adapt to new conditions. The foundations of this research are interpretive, the approach is qualitative, and it is a developmental-applied study. In this study, the literature on developing strategies under uncertainty is examined using the meta-analysis method. Accordingly, after reviewing the literature, 39 concepts (themes) and 10 elements were extracted. Finally, using the identified elements and concepts and the literature of the study, the final model for developing robust adaptable strategies under uncertainty was designed.
Massoumeh Nazari, Mahmoud dehghan nayeri, Kiamars Fathi Hafshejani,
Volume 14, Issue 2 (summer 2024)
Abstract
Purpose: In today's world, many decision-making problems are uncertain. The main source of these conditions is the lack and sometimes the absence of information for decision-making, which makes it one of the most challenging and at the same time the most important issues in supply chain management. Therefore, the present study aims to provide a Bi-objective mathematical model of a sustainable supply chain based on uncertain parameters, with a focus on minimizing costs and environmental pollutants. The proposed model can be an efficient tool for designing a sustainable and flexible supply chain network.
Methodology: This research is descriptive-analytical. Furthermore, in terms of its objectives, it is considered an applied type of research. This study developed the Malvey scenario-based method, focusing on the parameters of the two-objective mathematical model, while considering shipping costs, demand, and capacity reduction due to disruptions as uncertainty parameters. In study utilized software tools GAMS, Excel, and Microsoft Visio for data analysis.
Findings: The results indicate that using the mathematical model based on the Malvey scenario in uncertain conditions in a sustainable supply chain can lead to achieving favorable and fruitful results. The mathematical model was able to effectively address demand uncertainty, shipping costs, and capacity reduction due to disruptions, although its performance decreased in scenarios with larger aggregates.
Mostafa Monfared, Mahmoud dehghan nayeri, Ali Rajabzadeh,
Volume 14, Issue 4 (2-2025)
Abstract
Objective: In analyzing the value chain at the industry level, it is very important to identify the framework of businesses and supplier/customer relationships. The oil and gas industry is the largest energy supplier and economic sector of the Iran. The value chain in the oil and gas industry includes a wide range of markets and businesses from the exploration to the consumption. In this research, the overview of the value chain of this industry was drawn and the government and private structures as well as policy makers and its stakeholders were determined.
Methodology: With the help of experts and using the Delphi method, the general framework of businesses, the goals and performance indicators of a firm and the factors affecting them were identified. Next, a conceptual model was developed to evaluate field development businesses based on the firm's goals, factors affecting the goals, business graftings, and time periods.
Findings: The finalized framework of field development businesses in the oil and gas value chain was drawn at 4 different levels includes 52 active businesses.
Conclusion: The results showed that in the presented conceptual model, 7 main goals and 11 factors are considered in three general categories, including direct influencing factors, factors caused by the business graftings, and macro factors from the outside of industry for each enterprise present in this sector of the industry.
Volume 23, Issue 3 (10-2019)
Abstract
Today, according to the international significance of sustainability, scholars aim to develop sustainability assessment models within the banking industry. Since that, the banks affect the development of sustainability within the countries both directly and indirectly. The purpose of the present study is to provide a comprehensive Assessment Model for the Iranian banking system, which evaluates the bank's sustainability through different aspects. Therefore, as implied research with a descriptive mixed method, the study employed a Meta-synthesis approach in order to obtain codes, themes, and categories of sustainability in the banking industry. In the following, ISM structured a network of relationships between the themes as a model while ANP helped to determine the weights of the themes and categories. Ultimately using the content analysis, the sustainability information of the banks extracted to feed the provided model, which lead to the sustainability computation of 27 governmental and non-governmental Iranian banks. As a result, Pasargad Bank ranked first, while Ayande and Melli Banks ranked second and third respectively. Moreover, it became clear that the average sustainability score of non-governmental was higher than governmental banks, while most of them neglect the environmental issues, which needs to be considered in their strategies
Volume 24, Issue 3 (10-2020)
Abstract
Crises are always the hardest test for every management theory. There are few management theories that work in the face of severe crises. As a result, organizations and managers in practice, during major crises, suspend many of their functions, dimensions and tasks. Meanwhile, the field of decision-making has a special status, because this field can’t be closed at all. Accordingly, practical theories of decision making in crisis are one of the most essential needs of any organization in times of crisis. In this regard, we tried to explain the application of PANDA decision-making strategy in critical situations. To this end, the corona crisis was chosen as the focus area. The Corona crisis, as one of the most important human crises that is currently affecting the whole world, is the best option for this purpose. In order to narrow the scope of the research, the decisions of the National Anti-Corona Headquarters of Iran were selected as our cases. Therefore, multiple case study method was selected as the method of the present study. The results of this study show that the characteristics of consequentialism, multiple feedback, speed of action and systematic attitude are the four main characteristics of Panda method that make this method especially suitable for critical situations.
